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Qingshan Xu
School of Electrical Engineering, Southeast University, Nanjing 210096, China

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Journal article
Published: 21 August 2021 in Journal of Energy Storage
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In the industrial park microgrids, the curves of industrial load and photovoltaic output are unstable and unadjustable. The implementation of energy storage system (ESS) has proven successful in tackling these issues. Compared with the single-type battery energy storage (SBES), the hybrid energy storage system (HESS) is composed by energy-type energy storage and power-type energy storage, which can effectively improve the controllability and schedulability of renewable energy generation. The governments of most countries have implemented a two-part time-of-use tariff mechanism for industrial users. In this context, the paper proposes a solution for the reasonable low-cost configuration and operation of HESS in industrial parks. First of all, this paper creatively combines the Variational Mode Decomposition and Wigner–Ville Distribution (VMD-WVD) algorithm to break down the net load of the industrial park system, and installs the super-capacitors and lithium batteries to smooth the high frequency and low frequency components of the original net load. Secondly, this paper establishes a two-stage monthly and day-ahead optimization model, which is solved by the Chaos Particle Swarm Optimization (CPSO) algorithm. The monthly HESS capacity optimization configuration model is to minimize the total installation cost. And the day-ahead scheduling model maximizes the net income of life cycle, which further improves the user's peak-to-valley arbitrage. The results show that, compared with SBES, the installation of HESS can better achieve peak shaving and reduce grid connection fluctuations. Besides, the installation of HESS can greatly reduce the electricity cost and the basic electricity cost of industrial parks, so that it can save industrial users' production costs.

ACS Style

Jicheng Fang; Qingshan Xu; Rongchuan Tang; Yuanxing Xia; Yixing Ding; Lele Fang. Research on demand management of hybrid energy storage system in industrial park based on variational mode decomposition and Wigner–Ville distribution. Journal of Energy Storage 2021, 42, 103073 .

AMA Style

Jicheng Fang, Qingshan Xu, Rongchuan Tang, Yuanxing Xia, Yixing Ding, Lele Fang. Research on demand management of hybrid energy storage system in industrial park based on variational mode decomposition and Wigner–Ville distribution. Journal of Energy Storage. 2021; 42 ():103073.

Chicago/Turabian Style

Jicheng Fang; Qingshan Xu; Rongchuan Tang; Yuanxing Xia; Yixing Ding; Lele Fang. 2021. "Research on demand management of hybrid energy storage system in industrial park based on variational mode decomposition and Wigner–Ville distribution." Journal of Energy Storage 42, no. : 103073.

Original research paper
Published: 31 March 2021 in IET Generation, Transmission & Distribution
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Classic droop control ensures the synchronization of distributed generation (DG) units inside a microgrid without requiring any deployment of communication links, however it causes unwanted frequency fluctuations and degrades system dynamics. Angle droop control and V − I control have been developed as two major global positioning system (GPS)‐based control methods, both of which realize a fixed‐frequency operation of the microgrid through synchronizing DG units with GPS timing technology and brings improvement to the dynamic response of the overall system. This paper reveals the similarities and the correlations between these two methods that they can both be regarded as different forms of virtual impedance control. A novel adaptive virtual impedance control method is proposed accordingly to generalize GPS‐based control strategies into a unified control frame. An impedance and inner controller design approach considering both stability constraints and power quality requirements based on the small‐signal model of GPS‐based microgrids is presented for practical implementation. An adaptive transient resistance concept is adopted to enhance the system stability during large disturbances and grid faults. Case studies are presented to validate the system performance and fault ride‐through abilities of the proposed control scheme.

ACS Style

Haiya Qian; Qingshan Xu; Yuanxing Xia; Jun Zhao; Pengwei Du. Analysis and implementation of virtual impedance for fixed‐frequency control strategy in microgrid. IET Generation, Transmission & Distribution 2021, 15, 2262 -2276.

AMA Style

Haiya Qian, Qingshan Xu, Yuanxing Xia, Jun Zhao, Pengwei Du. Analysis and implementation of virtual impedance for fixed‐frequency control strategy in microgrid. IET Generation, Transmission & Distribution. 2021; 15 (15):2262-2276.

Chicago/Turabian Style

Haiya Qian; Qingshan Xu; Yuanxing Xia; Jun Zhao; Pengwei Du. 2021. "Analysis and implementation of virtual impedance for fixed‐frequency control strategy in microgrid." IET Generation, Transmission & Distribution 15, no. 15: 2262-2276.

Journal article
Published: 18 March 2021 in Energy and Buildings
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Multi-energy flexibility measures comprising energy substitution and demand-side management (DSM) can enhance the control of buildings and help them participate in the energy market, obtaining greater profit margins. However, the application of these flexibility measures is also subject to many limitations. For example, DSM is a kind of load redistribution process in which the energy payback constraints associated with comfort or usage demand should be considered. Therefore, this work studies the optimal energy management of a building energy system (BES) considering multi-energy flexibility measures, specifically under the energy payback effect, to better guide the peak shaving strategies. First, energy substitution measures are proposed involving energy conversion and storage modeling. Second, a novel dynamic two-step DSM measure is modeled for the reduction and recovery process. Then, a mixed-integer and linear programming (MILP)-based energy management model is developed to optimize the operation of smart buildings for peak shaving. The case studies demonstrate that 1) a BES can obtain better profit by utilizing multi-energy flexibility measures; 2) optimized multi-load recovery strategies can enhance the flexibility potential of a BES; and 3) a reasonable multi-load recovery mechanism should be established to offset the energy payback effect.

ACS Style

Lu Chen; Qingshan Xu; Yongbiao Yang; Jing Song. Optimal energy management of smart building for peak shaving considering multi-energy flexibility measures. Energy and Buildings 2021, 241, 110932 .

AMA Style

Lu Chen, Qingshan Xu, Yongbiao Yang, Jing Song. Optimal energy management of smart building for peak shaving considering multi-energy flexibility measures. Energy and Buildings. 2021; 241 ():110932.

Chicago/Turabian Style

Lu Chen; Qingshan Xu; Yongbiao Yang; Jing Song. 2021. "Optimal energy management of smart building for peak shaving considering multi-energy flexibility measures." Energy and Buildings 241, no. : 110932.

Journal article
Published: 14 February 2021 in International Journal of Electrical Power & Energy Systems
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The user-side integrated energy system is of great significance for promoting the energy revolution. However, the multiple coupling forms of energy, as well as uncertainties from generation sources and loads have brought tremendous challenges to its optimal dispatch. In this paper, a two-stage coordinated scheduling method is proposed for the user-side integrated energy system that considers energy storage multiple services to minimize long-term operation costs. Besides, the proposed scheduling model is based on a two-part time-of-use electricity price mechanism. The first stage of the model determines the daily initial state of charge of energy storage, the demand management coefficient, and the baseline of demand response. The second stage is intra-day rolling scheduling, and the power scheduling of each unit in the system is optimized under the premise that the closer the time period, the higher the prediction accuracy. Energy storage is investigated for four main service options: 1) demand management; 2) demand response; 3) energy arbitrage; 4) providing reserve capacity. At the same time, a linear energy storage degradation cost model is established. The combined goal programming and dependent chance programming in the fuzzy environment is implemented to obtain a scheduling plan for the UIES efficiently and to ensure the system’s economy and the most possibility of the events of power balance in an uncertain environment. A case study verifies the effectiveness and advantages of the proposed method.

ACS Style

Yixing Ding; Qingshan Xu; Yuanxing Xia; Jun Zhao; Xiaodong Yuan; Junping Yin. Optimal dispatching strategy for user-side integrated energy system considering multiservice of energy storage. International Journal of Electrical Power & Energy Systems 2021, 129, 106810 .

AMA Style

Yixing Ding, Qingshan Xu, Yuanxing Xia, Jun Zhao, Xiaodong Yuan, Junping Yin. Optimal dispatching strategy for user-side integrated energy system considering multiservice of energy storage. International Journal of Electrical Power & Energy Systems. 2021; 129 ():106810.

Chicago/Turabian Style

Yixing Ding; Qingshan Xu; Yuanxing Xia; Jun Zhao; Xiaodong Yuan; Junping Yin. 2021. "Optimal dispatching strategy for user-side integrated energy system considering multiservice of energy storage." International Journal of Electrical Power & Energy Systems 129, no. : 106810.

Journal article
Published: 25 January 2021 in International Journal of Electrical Power & Energy Systems
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The energy storage system is a type of equipment that is widely used to reduce peak loads, but its development is restricted by the high cost. Flexible load is a kind of load resource that can be dispatched by power grid to reduce load demand, but its development is restricted by users’ comfort degree. Therefore, a generalized energy storage system (GESS) needs to be proposed to maximize users’ comfort degree and minimize the investment cost of energy storage equipment simultaneously. GESS includes a traditional ESS, demand response and electric vehicles which can effectively reduce the load demand if uniformly dispatched. The duality theory is introduced to solve the bilevel model, which is built to uniformly optimize the GESS configuration in the upper level and scheduling in the lower level. A novel energy loss model and relaxed second order cone power flow model are embedded in the lower level to reduce the energy loss and avoid power congestion problems. The 15-bus network and modified IEEE 123-bus network are used as examples to demonstrate the advantages of the GESS and PCR transactions. The simulation results show that the investment cost of the GESS is far lower than that of the traditional ESS, and the GESS peak shaving effect is better. The application of the PCR transaction enables maximum satisfaction of the power demand of users participating in the demand response. The overall operation cost of the energy storage system is significantly reduced from the perspective of the power grid and users, which is beneficial for the further promotion of energy storage technology in the power grid.

ACS Style

Yuanxing Xia; Qingshan Xu; Haiya Qian; Wei Liu; Chunjun Sun. Bilevel optimal configuration of generalized energy storage considering power consumption right transaction. International Journal of Electrical Power & Energy Systems 2021, 128, 106750 .

AMA Style

Yuanxing Xia, Qingshan Xu, Haiya Qian, Wei Liu, Chunjun Sun. Bilevel optimal configuration of generalized energy storage considering power consumption right transaction. International Journal of Electrical Power & Energy Systems. 2021; 128 ():106750.

Chicago/Turabian Style

Yuanxing Xia; Qingshan Xu; Haiya Qian; Wei Liu; Chunjun Sun. 2021. "Bilevel optimal configuration of generalized energy storage considering power consumption right transaction." International Journal of Electrical Power & Energy Systems 128, no. : 106750.

Journal article
Published: 31 December 2020 in IEEE Transactions on Industrial Electronics
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GPS-based control has recently been reported as a replacement of droop control to achieve fixed frequency operation in islanded microgrids. This paper presents the perspective that the power sharing performance of a general microgrid synchronized by Global Positioning System (GPS) is essentially determined by equivalent output impedance. A novel adaptive virtual impedance control approach, which implements different values of virtual resistance for d and q-axis, is proposed accordingly. The virtual resistance concept is implemented comprising a basic local implementation for output impedance shaping, and a sparse resistance tuning network for the compensation of mismatched feeder impedance which demands no knowledge of actual output impedance. The resistance tuning network utilizes the consensus protocol and only requires neighboring interactions among DG units. A complete tuning of output resistance for a given load condition results in accurate active and reactive power sharing even after communication is interrupted and will still outperform conventional droop control methods if load changes during the interruption. Small-signal analysis based on delay differential equations (DDE) model of the overall microgrid is performed to investigate the adverse impact of communication delays on system stability. The efficacy of the proposed approach is validated by both simulation and experimentation.

ACS Style

Haiya Qian; Qingshan Xu; Pengwei Du; Yuanxing Xia; Jun Zhao. A Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids. IEEE Transactions on Industrial Electronics 2020, PP, 1 -1.

AMA Style

Haiya Qian, Qingshan Xu, Pengwei Du, Yuanxing Xia, Jun Zhao. A Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids. IEEE Transactions on Industrial Electronics. 2020; PP (99):1-1.

Chicago/Turabian Style

Haiya Qian; Qingshan Xu; Pengwei Du; Yuanxing Xia; Jun Zhao. 2020. "A Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids." IEEE Transactions on Industrial Electronics PP, no. 99: 1-1.

Short communication
Published: 22 December 2020 in Energy Reports
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The integrated energy system (IES) with combined heat and power (CHP) generation units is regarded as an effective way to improve energy efficiency. The installation of hybrid energy storage can further improve the system’s economy. This paper proposes an optimal sizing method for electrical/thermal hybrid energy storage in the IES, which fully considers the profit strategies of energy storage including reducing wind curtailment, price arbitrage, and coordinated operation with CHP units, etc. The minimum energy cost of the system in the energy storage life cycle is taken as the objective function. Meanwhile, the power constraints connected with the distribution network/district heating network and the two-part price mechanism are considered. The results in the case study show the effectiveness of the approach.

ACS Style

Yixing Ding; Qingshan Xu; Bin Yang. Optimal configuration of hybrid energy storage in integrated energy system. Energy Reports 2020, 6, 739 -744.

AMA Style

Yixing Ding, Qingshan Xu, Bin Yang. Optimal configuration of hybrid energy storage in integrated energy system. Energy Reports. 2020; 6 ():739-744.

Chicago/Turabian Style

Yixing Ding; Qingshan Xu; Bin Yang. 2020. "Optimal configuration of hybrid energy storage in integrated energy system." Energy Reports 6, no. : 739-744.

Journal article
Published: 13 November 2020 in Sustainable Energy Technologies and Assessments
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Capacity credit (CC) evaluation is a conception used in power system planning, which quantifies the contribution of various generating resources to the power system reliability. CC evaluation is essentially an iterative process of solving equations, where the reliability index of the power system is computed in every round of iteration. Therefore, fast and accurate evaluation of CC requires both a competent reliability assessment method and a compatible iterative method for equation solving. From this perspective, this paper presents a new methodology of CC evaluation for wind energy, by combining an improved cross-entropy-based importance sampling (ICE-IS) method for reliability assessment and a robust secant method for equation solving. The ICE-IS method is able to substantially accelerate the computation of reliability indices, especially when the wind power output and the system load are highly correlated. The robust secant method provides an unbiased estimate of the real CC value and ensures fast convergence, despite the error in the reliability index computed by ICE-IS in each round of iteration. Numerical tests are designed based on the historical data of two actual wind farms to prove the correctness of the proposed methodology. Besides, the results are discussed to analyze the impact of different factors on the CC of wind energy.

ACS Style

Jilin Cai; Qingshan Xu. Capacity credit evaluation of wind energy using a robust secant method incorporating improved importance sampling. Sustainable Energy Technologies and Assessments 2020, 43, 100892 .

AMA Style

Jilin Cai, Qingshan Xu. Capacity credit evaluation of wind energy using a robust secant method incorporating improved importance sampling. Sustainable Energy Technologies and Assessments. 2020; 43 ():100892.

Chicago/Turabian Style

Jilin Cai; Qingshan Xu. 2020. "Capacity credit evaluation of wind energy using a robust secant method incorporating improved importance sampling." Sustainable Energy Technologies and Assessments 43, no. : 100892.

Journal article
Published: 08 September 2020 in IEEE Transactions on Smart Grid
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Wind farms (WFs) are important components of smart grid. The modeling and optimal planning of the WF is preliminary before its construction. In this paper, a bi-level multi-objective optimization framework is presented, with the aim of simultaneously designing the configuration of wind turbines (WTs) as well as the topology of electrical collector system in an offshore WF. The installation capacity of the WF, the positioning of the WTs and the planning scheme of the electrical system are balanced to achieve a better performance of the WF. In this proposal, there is an outer layer along with two inner layers. The objectives of the outer-layer model are the maximization of the WF’s daily profit rate, the daily average capacity factor, and power quality. It is tackled by the Non-dominated Sorting Genetic Algorithm-III (NSGA-III). The objectives of the two inner layer models are to determine the topology of the electrical system and the generation schedule of other generators, and are solved by means of the Binary Particle Swarm Optimization (BPSO) algorithm and the quadratic programming (QP) method respectively. The WF is assumed to be connected to the IEEE-24 bus test system. The simulation results validate the adaptability and effectiveness of the proposed approach with the main factors that affect the WF layout being analyzed.

ACS Style

Siyu Tao; Qingshan Xu; Andres Feijoo; Gang Zheng. Joint Optimization of Wind Turbine Micrositing and Cabling in an Offshore Wind Farm. IEEE Transactions on Smart Grid 2020, 12, 834 -844.

AMA Style

Siyu Tao, Qingshan Xu, Andres Feijoo, Gang Zheng. Joint Optimization of Wind Turbine Micrositing and Cabling in an Offshore Wind Farm. IEEE Transactions on Smart Grid. 2020; 12 (1):834-844.

Chicago/Turabian Style

Siyu Tao; Qingshan Xu; Andres Feijoo; Gang Zheng. 2020. "Joint Optimization of Wind Turbine Micrositing and Cabling in an Offshore Wind Farm." IEEE Transactions on Smart Grid 12, no. 1: 834-844.

Journal article
Published: 31 August 2020 in Energies
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Integrated electrical and heating networks (IEHNs) effectively improve energy utilization efficiency, reduce environmental pollution and realize sustainable development of energy. To realize the accurate, comprehensive and fast perception of the integrated electrical and heating networks, it is necessary to build a state estimation model. However, the robust state estimator of IEHNs based on the temperature drop equation, flow balance equation and power balance equation still have the problems of convergence and low computational efficiency. In this paper, a fast state estimation method based on weighted least absolute value is proposed, which makes partition calculation of ring-shaped heating network and radiant heating network under certain assumptions. Simulation results show that the method improves the efficiency of the robust state estimator on the premise of high accuracy.

ACS Style

Chun Wang; Minghao Geng; Qingshan Xu; Haixiang Zang. A Fast State Estimator for Integrated Electrical and Heating Networks. Energies 2020, 13, 4488 .

AMA Style

Chun Wang, Minghao Geng, Qingshan Xu, Haixiang Zang. A Fast State Estimator for Integrated Electrical and Heating Networks. Energies. 2020; 13 (17):4488.

Chicago/Turabian Style

Chun Wang; Minghao Geng; Qingshan Xu; Haixiang Zang. 2020. "A Fast State Estimator for Integrated Electrical and Heating Networks." Energies 13, no. 17: 4488.

Journal article
Published: 24 August 2020 in IEEE Access
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This paper introduces the basic principle of fibre optical current transformer (FOCT), and explains the advantages of FOCT compared with electromagnetic current transformer (CT). FOCT can be wound around the primary conductor in any shape, has high harmonic accuracy and doesn’t suffer from saturation, thus a good solution for generator relay protection. As a common electrical fault within large generators, the inter-turn short circuit in field windings (ISCFW) is likely to cause earth faults between the field winding and the rotor body and magnetization of the main shaft without timely intervention. Steady-state unbalanced currents of even orders and fractional orders related with pole pairs inside phase windings are required to monitor the ISCFW. The inter-turn fault of stator windings may rapidly develop into a phase to phase fault, which seriously threatens the safety of the unit. Split-phase transverse differential current reflects the steady-state current imbalance inside the stator winding. Nevertheless, for most steam turbine generators and some hydro turbine generators, it is unable to obtain phase-segregated transverse differential current due to impossibility of installing branch current transformer in the narrow space inside the generator. However, FOCT which uses fibre optic cable as a sensor is installable within limited space to measure the current of each group of winding branches of each phase. FOCT furthers phase-segregated transverse differential protection, partial differential protection and online monitoring of the ISCFW, thus optimizing the generators protection scheme. In addition, operating speed and sensitivity of generator differential protection are improved based on the reliable measurement from FOCT. The proposed scheme is verified by an application on a 300MW generator at a pump-storage power plant. This is the first attempt of applying FOCT to the relay protection of generator set, which provides reference for further development and application of FOCT in power plant.

ACS Style

Jun Chen; Qingshan Xu; Kai Wang. Research and Application of Generator Protection Based on Fiber Optical Current Transformer. IEEE Access 2020, 8, 172405 -172411.

AMA Style

Jun Chen, Qingshan Xu, Kai Wang. Research and Application of Generator Protection Based on Fiber Optical Current Transformer. IEEE Access. 2020; 8 (99):172405-172411.

Chicago/Turabian Style

Jun Chen; Qingshan Xu; Kai Wang. 2020. "Research and Application of Generator Protection Based on Fiber Optical Current Transformer." IEEE Access 8, no. 99: 172405-172411.

Journal article
Published: 19 August 2020 in IEEE Transactions on Instrumentation and Measurement
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Given that there exists input uncertainty caused by the noise embedded in industrial data, this study proposes a relevance vector machine (RVM) prediction model with input noise. Due to the fact that the marginal likelihood cannot be analytically calculated when introducing the input uncertainty, a Gaussian approximation is proposed in this study on the basis of the law of total expectation and the law of total covariance. Furthermore, to approximate the posterior distribution over the model weights, this study employs the Markov chain Monte Carlo algorithm, in which a Gaussian proposal distribution is designed to draw new samples. In the prediction stage, a Gaussian approximation is also designed for a new testing input in order for the input uncertainty to be reflected in the estimation of output variance. To verify the effectiveness of the proposed method, four synthetic datasets, four benchmark datasets and two industrial datasets are employed in the comparative experiments. The results indicate that the proposed RVM with uncertain input outperforms other approaches, and it also performs better on the time series prediction issue.

ACS Style

Long Chen; Jun Zhao; Wei Wang; Qingshan Xu. A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise. IEEE Transactions on Instrumentation and Measurement 2020, 70, 1 -12.

AMA Style

Long Chen, Jun Zhao, Wei Wang, Qingshan Xu. A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise. IEEE Transactions on Instrumentation and Measurement. 2020; 70 (99):1-12.

Chicago/Turabian Style

Long Chen; Jun Zhao; Wei Wang; Qingshan Xu. 2020. "A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise." IEEE Transactions on Instrumentation and Measurement 70, no. 99: 1-12.

Research article
Published: 18 June 2020 in IET Generation, Transmission & Distribution
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Recently, many industrial users have spontaneously built energy storage (ES) systems for participation in demand-side management, but it is difficult for users to benefit from participating in demand response (DS) because of the expensive costs of ES construction. Therefore, this study proposes a cloud ES (CES) architecture that can reduce these costs by utilising users' complementary load characteristics and the scale benefits resulting from large-scale construction of ES equipment. Considering the DR and the uncertainty of the user load, this study applies two-stage robust optimisation to solve for the optimal configuration of CES. The proposed optimisation model is verified using the load data of an industrial park in Jiangsu Province, and the results clearly indicate that the proposed CES can be more beneficial than self-built distributed ES during the warranty period. The robust configuration results can be applicable even when the load changes within the maximum and minimum range.

ACS Style

Yuanxing Xia; Qingshan Xu; Jun Zhao; Xiaodong Yuan. Two‐stage robust optimisation of user‐side cloud energy storage configuration considering load fluctuation and energy storage loss. IET Generation, Transmission & Distribution 2020, 14, 3278 -3287.

AMA Style

Yuanxing Xia, Qingshan Xu, Jun Zhao, Xiaodong Yuan. Two‐stage robust optimisation of user‐side cloud energy storage configuration considering load fluctuation and energy storage loss. IET Generation, Transmission & Distribution. 2020; 14 (16):3278-3287.

Chicago/Turabian Style

Yuanxing Xia; Qingshan Xu; Jun Zhao; Xiaodong Yuan. 2020. "Two‐stage robust optimisation of user‐side cloud energy storage configuration considering load fluctuation and energy storage loss." IET Generation, Transmission & Distribution 14, no. 16: 3278-3287.

Journal article
Published: 05 June 2020 in Energies
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A real-time error correction operation model for an integrated energy system is proposed in this paper, based on the analysis of the real-time optimized operation structure of an integrated energy system and the characteristics of the system. The model makes real-time corrections to the day-ahead operation strategy of the integrated energy system, to offset forecast errors from the renewable power generation system and multi-energy load system. When unbalanced power occurs in the system due to prediction errors, the model comprehensively considers the total capacity of each energy supply and energy storage equipment, adjustable margin, power climbing speed and adjustment cost, to formulate the droop rate which determines the unbalanced power that each device will undertake at the next time interval, while taking the day-ahead dispatching goals of the system into consideration. The case study shows that the dispatching strategy obtained by the real-time error correction operation model makes the power output change trend of the energy supply equipment consistent with the day-ahead dispatching plan at the next time interval, which ensures the safety, stability and economy of the real-time operation of the integrated energy system.

ACS Style

Aidong Zeng; Sipeng Hao; Jia Ning; Qingshan Xu; Ling Jiang. Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction. Energies 2020, 13, 2908 .

AMA Style

Aidong Zeng, Sipeng Hao, Jia Ning, Qingshan Xu, Ling Jiang. Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction. Energies. 2020; 13 (11):2908.

Chicago/Turabian Style

Aidong Zeng; Sipeng Hao; Jia Ning; Qingshan Xu; Ling Jiang. 2020. "Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction." Energies 13, no. 11: 2908.

Journal article
Published: 31 May 2020 in Mathematical Problems in Engineering
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Considering the importance of reducing system operating costs and controlling pollutant emissions by optimizing the operation of the integrated energy system, the energy supply structure of the integrated energy system and the joint multiobjective optimization dispatching structure is analyzed in this paper based on a day-ahead economic optimization dispatching model of the integrated energy system. Afterwards, the multiobjective optimization model of the integrated energy system is studied and multiobjective hierarchical progressive parallel algorithm based on improved NSGA-II is proposed according to the characteristics of the model. The algorithm improves the nondominated layer sorting algorithm, changes the convergence judgment condition while introducing the target reaching method to accelerate convergence, and introduces parallel computing technology according to the characteristics of the algorithm. The case shows that the proposed algorithm not only has advantages on the diversity in searching solutions but also can achieve better results in many aspects such as the iteration time and algorithm convergence which are required in practical engineering projects.

ACS Style

Aidong Zeng; Sipeng Hao; Jia Ning; Qingshan Xu; Ling Jiang. Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm. Mathematical Problems in Engineering 2020, 2020, 1 -22.

AMA Style

Aidong Zeng, Sipeng Hao, Jia Ning, Qingshan Xu, Ling Jiang. Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm. Mathematical Problems in Engineering. 2020; 2020 ():1-22.

Chicago/Turabian Style

Aidong Zeng; Sipeng Hao; Jia Ning; Qingshan Xu; Ling Jiang. 2020. "Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm." Mathematical Problems in Engineering 2020, no. : 1-22.

Journal article
Published: 09 March 2020 in Electric Power Systems Research
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Battery energy storage systems (BESSs) can play a key role in obtaining flexible power control and operation. Ensuring the profitability of the energy storage is the prerequisite to realize its reasonable applications in the power system. This paper establishes a bi-level optimal sizing of energy storage participating in demand management and energy arbitrage for industrial users. The BESS scheduling cycle and lifetime are considered in the optimization model. The proposed bi-level model is derived from a life-cycle economic analysis of energy storage based on the maximization of net profit over the entire life-cycle and profit over the scheduling cycle as upper- and lower-level objective functions, respectively. The Karush–Kuhn–Tucher (KKT) conditions are combined with a mixed-integer linear programming (MILP) approach to solve the optimization model. Case studies based on realistic industrial load data are used to validate the usefulness of the proposed method, with the simulation results confirming that the method can effectively improve the benefits of the energy storage system. Finally, the effect of the load characteristics and electricity price policies on the model results is analyzed.

ACS Style

Yixing Ding; Qingshan Xu; Yu Huang. Optimal sizing of user-side energy storage considering demand management and scheduling cycle. Electric Power Systems Research 2020, 184, 106284 .

AMA Style

Yixing Ding, Qingshan Xu, Yu Huang. Optimal sizing of user-side energy storage considering demand management and scheduling cycle. Electric Power Systems Research. 2020; 184 ():106284.

Chicago/Turabian Style

Yixing Ding; Qingshan Xu; Yu Huang. 2020. "Optimal sizing of user-side energy storage considering demand management and scheduling cycle." Electric Power Systems Research 184, no. : 106284.

Journal article
Published: 08 January 2020 in IEEE Transactions on Sustainable Energy
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The high penetration of wind energy in electrical power systems presents challenges for all operators. For the wind farm (WF) planners, one of these challenges is optimizing its layout with a set of constraints. This paper proposes a bi-hierarchy optimization scheme to determine the capacity and layout of a grid-connected WF. The environmental impacts involved by the installation of a WF have been taken into consideration in the problem. The first-layer model optimizes the WF capacity and configuration with minimized comprehensive generation cost of wind energy and two sets of constraints. The sound pressure level (SPL) limit of the noise emitted by the wind turbines (WTs) is handled to be one of the constraints of the first-layer model. The second-layer model determines the generation schedule of other conventional generators. A Gaussian wake model is applied to calculate the effective wind speed for each WT. For the simulations, the WF is supposed to be integrated in the IEEE 30-bus test system. The wild goats algorithm (WGA) and the quadratic programming (QP) method are used to solve the problem. The simulation results validate the effectiveness of the proposed model and prove that environmental influences of WFs should not be ignored during the planning stage.

ACS Style

Siyu Tao; Qingshan Xu; Andres Feijoo; Peng Hou; Gang Zheng. Bi-Hierarchy Optimization of a Wind Farm Considering Environmental Impact. IEEE Transactions on Sustainable Energy 2020, 11, 2515 -2524.

AMA Style

Siyu Tao, Qingshan Xu, Andres Feijoo, Peng Hou, Gang Zheng. Bi-Hierarchy Optimization of a Wind Farm Considering Environmental Impact. IEEE Transactions on Sustainable Energy. 2020; 11 (4):2515-2524.

Chicago/Turabian Style

Siyu Tao; Qingshan Xu; Andres Feijoo; Peng Hou; Gang Zheng. 2020. "Bi-Hierarchy Optimization of a Wind Farm Considering Environmental Impact." IEEE Transactions on Sustainable Energy 11, no. 4: 2515-2524.

Journal article
Published: 17 December 2019 in Applied Sciences
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With the increasing scale of multi-energy microgrids (MGs) and complicated operation modes, the coordinated operation of microgrids and the distribution network (DN) has posed great challenges. In this paper, a bi-level optimal coordinated dispatch framework of the DN and multi-energy MGs based on CCHP (combined cooling, heating, and power) is proposed. The first level studies the optimal operation of the DN with power interaction on tie lines between MGs considering the coupling relationship and constraints of the equipment and network. The network reconfiguration with limited control actions is considered to increase the flexibility of the topology and further improve the working state. For the second level, MGs receive orders from the DN and determine the optimal strategies of multi-energy devices to achieve optimized operation under the condition of satisfying the different types of load and requirement for the DN. To solve the optimal dispatch problem of both the DN and the multi-energy MGs considering the DN reconfiguration, a method combining particle swarm optimization algorithm (PSO) with mixed-integer linear programming (MILP) is proposed. Cases studied in an IEEE33-node DN with renewable power sources and grid-connected MGs validate that the proposed method is very effective in reducing the power loss and voltage offset of the DN while ensuring the benefits of the MGs.

ACS Style

Sijie Chen; Yongbiao Yang; Qingshan Xu; Jun Zhao. Coordinated Dispatch of Multi-Energy Microgrids and Distribution Network with a Flexible Structure. Applied Sciences 2019, 9, 5553 .

AMA Style

Sijie Chen, Yongbiao Yang, Qingshan Xu, Jun Zhao. Coordinated Dispatch of Multi-Energy Microgrids and Distribution Network with a Flexible Structure. Applied Sciences. 2019; 9 (24):5553.

Chicago/Turabian Style

Sijie Chen; Yongbiao Yang; Qingshan Xu; Jun Zhao. 2019. "Coordinated Dispatch of Multi-Energy Microgrids and Distribution Network with a Flexible Structure." Applied Sciences 9, no. 24: 5553.

Journal article
Published: 05 December 2019 in Applied Sciences
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This paper proposes a new method for configuring hybrid energy storage systems on the user side with a distributed renewable energy power station. To reasonably configure the hybrid energy storage system, this paper divides the whole optimization into two stages from the two dimensions of capacity and power: supercapacitor and battery optimization. To minimize the fluctuation of new energy output when the user’s investment is as small as possible, a dual agent fuzzy optimization algorithm is used in the configuration of the supercapacitor. When the battery is configured, the optimization objective is to maximize the user’s income and minimize the number of charges and discharges in an optimization cycle. By dividing two objective functions, multi-objective optimization is integrated into single-objective optimization, the battery life is extended, and the total revenue of the user in the whole life cycle is increased.

ACS Style

Yuanxing Xia; Qingshan Xu; Jun Zhao; Chengliang Wang. Two-Stage Configuration of User-Side Hybrid Energy Storage Based on Fuzzy Optimization. Applied Sciences 2019, 9, 5307 .

AMA Style

Yuanxing Xia, Qingshan Xu, Jun Zhao, Chengliang Wang. Two-Stage Configuration of User-Side Hybrid Energy Storage Based on Fuzzy Optimization. Applied Sciences. 2019; 9 (24):5307.

Chicago/Turabian Style

Yuanxing Xia; Qingshan Xu; Jun Zhao; Chengliang Wang. 2019. "Two-Stage Configuration of User-Side Hybrid Energy Storage Based on Fuzzy Optimization." Applied Sciences 9, no. 24: 5307.

Journal article
Published: 29 August 2019 in International Journal of Electrical Power & Energy Systems
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The steady state voltage stability analysis is extremely important to the security of power systems. The continuation power flow (CPF) is one of the important tools for the steady state voltage stability analysis. However, its computation load is very large. To improve the analysis performance in DC power systems, a basic technique is used to explore the exact relationships between injected currents, buses voltages, lines currents and lines voltages. Based on the basic technique, the computation loads can be separated and some repeated computation can be avoided. In this paper, two new methods to calculate critical point are proposed. One is by combining the basic technique and a correctness method for CPF. The method improves the calculation speed by avoiding the repeated computation of same topology and buses types analysis. Another method is a direct method. The direct method is based on the novel view to understand power systems and the physical (and mathematical) essence of critical point and voltage collapse. Most CPF is discussed in AC system. The corresponding CPF in DC system will be studied to get standard results for comparison. Compared with CPF in DC systems, the numerical verification shows that the proposed methods can reduce most computation loads of CPF method in DC systems.

ACS Style

Yuqi Wang; Qingshan Xu; Jiaqi Zheng. The new steady state voltage stability analysis methods with computation loads separation technique in DC power systems. International Journal of Electrical Power & Energy Systems 2019, 115, 105482 .

AMA Style

Yuqi Wang, Qingshan Xu, Jiaqi Zheng. The new steady state voltage stability analysis methods with computation loads separation technique in DC power systems. International Journal of Electrical Power & Energy Systems. 2019; 115 ():105482.

Chicago/Turabian Style

Yuqi Wang; Qingshan Xu; Jiaqi Zheng. 2019. "The new steady state voltage stability analysis methods with computation loads separation technique in DC power systems." International Journal of Electrical Power & Energy Systems 115, no. : 105482.