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A battery‐dominated hybrid microgrid architecture where various battery modules are linked to the ac bus via converters is presented. A novel frequency–voltage droop scheme is proposed for the interlinking converter connecting the dc and ac grids. The ac grid frequency and dc grid voltage are linked together in outer controller loop through two factors, the ratio of which defines the frequency–voltage droop. This enables autonomous bidirectional power flow and regulation where each grid is supporting the other grid through its surplus power. A state of charge (SOC)‐based control scheme is also proposed for the battery units linked to ac bus which ensures power sharing based on the SOC of individual storage units. The system small‐signal model is developed and a stable range of operation is defined. The impact of number of battery units and SOC of an individual battery on the system performance is also analysed. In addition, the proposed strategy is compared with normalised SOC‐based control to evaluate its feasibility. Simulations in PSCAD/EMTDC show that the proposed SOC‐based scheme helps maintain charge balance while regulating the voltage and frequency and ensuring power flow among battery units and grids.
Sarmad Majeed Malik; Yingyun Sun. A state of charge‐based linearised frequency–voltage droop for interlinking converters in an isolated hybrid microgrid. IET Renewable Power Generation 2021, 15, 354 -367.
AMA StyleSarmad Majeed Malik, Yingyun Sun. A state of charge‐based linearised frequency–voltage droop for interlinking converters in an isolated hybrid microgrid. IET Renewable Power Generation. 2021; 15 (2):354-367.
Chicago/Turabian StyleSarmad Majeed Malik; Yingyun Sun. 2021. "A state of charge‐based linearised frequency–voltage droop for interlinking converters in an isolated hybrid microgrid." IET Renewable Power Generation 15, no. 2: 354-367.
Lei Dong; Tao Zhang; Tianjiao Pu; Naishi Chen; Yingyun Sun. A Decentralized Optimal Operation of AC/DC Hybrid Microgrids Equipped With Power Electronic Transformer. IEEE Access 2019, 7, 157946 -157959.
AMA StyleLei Dong, Tao Zhang, Tianjiao Pu, Naishi Chen, Yingyun Sun. A Decentralized Optimal Operation of AC/DC Hybrid Microgrids Equipped With Power Electronic Transformer. IEEE Access. 2019; 7 ():157946-157959.
Chicago/Turabian StyleLei Dong; Tao Zhang; Tianjiao Pu; Naishi Chen; Yingyun Sun. 2019. "A Decentralized Optimal Operation of AC/DC Hybrid Microgrids Equipped With Power Electronic Transformer." IEEE Access 7, no. : 157946-157959.
This paper presents small signal stability analysis of a hybrid microgrid from three different aspects. First, a generalized droop control of interlinking converter (ILC) is proposed which defines voltage and frequency droops at its terminals to achieve a bidirectional, autonomous power flow between grids. The impact of the droop gains on the stability is discussed and an operational range is defined for a stable system operation. Second, contrary to previous literature which have modeled the ac and dc grids by ideal sources and converters, the ac grid in this scheme is represented as a second-order synchronous generator and the dc grid is modeled as a PV system so as to analyze the dc grid dynamics in detail. It is observed that the dc link capacitor and inductor filter can lead to large system oscillations which can compromise stability. Third, the stability of the hybrid grid is analyzed from the aspect of short circuit ratio (SCR). Both rectifier and inverter mode of operation are used to understand how stability is affected with strength of ac grid. The time-domain simulations in PSCAD are used to confirm the validity of results obtained in frequency domain.
Sarmad Majeed Malik; Yingyun Sun; Xin Ai; Zhengqi Chen; Kunyu Wang. Small-Signal Analysis of a Hybrid Microgrid With High PV Penetration. IEEE Access 2019, 7, 119631 -119643.
AMA StyleSarmad Majeed Malik, Yingyun Sun, Xin Ai, Zhengqi Chen, Kunyu Wang. Small-Signal Analysis of a Hybrid Microgrid With High PV Penetration. IEEE Access. 2019; 7 (99):119631-119643.
Chicago/Turabian StyleSarmad Majeed Malik; Yingyun Sun; Xin Ai; Zhengqi Chen; Kunyu Wang. 2019. "Small-Signal Analysis of a Hybrid Microgrid With High PV Penetration." IEEE Access 7, no. 99: 119631-119643.
Sarmad Majeed Malik; Yingyun Sun; Xin Ai; Zhengqi Chen; Kunyu Wang. Cost-Based Droop Scheme for Converters in Interconnected Hybrid Microgrids. IEEE Access 2019, 7, 82266 -82276.
AMA StyleSarmad Majeed Malik, Yingyun Sun, Xin Ai, Zhengqi Chen, Kunyu Wang. Cost-Based Droop Scheme for Converters in Interconnected Hybrid Microgrids. IEEE Access. 2019; 7 ():82266-82276.
Chicago/Turabian StyleSarmad Majeed Malik; Yingyun Sun; Xin Ai; Zhengqi Chen; Kunyu Wang. 2019. "Cost-Based Droop Scheme for Converters in Interconnected Hybrid Microgrids." IEEE Access 7, no. : 82266-82276.
The planning and locating of charging stations is of great significance for the development of EV. The existed methods are often carried out by solving an optimal model, which requires a large amount of user data to simulate user behavior. Considering that a large number of planning schemes are available, this paper proposes a construction planning method of EV charging station based on the conditional Generative Adversarial Networks, aiming to find a quick and convenient planning method and thus reduce the demand for user’s data under the condition of ensuring the rationality of the results. The pix2pix problem was solved by cGANs, and the network structure was adjusted reasonably to avoid over-fitting. The construction diagram of the charging station was captured for training, and the network achieved good results in both the training set and the test set.
Chunfei Wang; Yingyun Sun; Lei Dong. A Locating Method of EV Fast Charging Stations Based on the Conditional Generative Adversarial Networks. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 3199 -3204.
AMA StyleChunfei Wang, Yingyun Sun, Lei Dong. A Locating Method of EV Fast Charging Stations Based on the Conditional Generative Adversarial Networks. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():3199-3204.
Chicago/Turabian StyleChunfei Wang; Yingyun Sun; Lei Dong. 2019. "A Locating Method of EV Fast Charging Stations Based on the Conditional Generative Adversarial Networks." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 3199-3204.
Offshore oil-platform power systems are important infrastructure for the exploitation of maritime oil and gas. However, its current energy management system, with relatively simple control scheme and low-level automation, can hardly operate the system in a secure and economic manner to match the rapid progress of offshore oil and gas exploitation. To address this issue, an online multi-objective optimal power control strategy is proposed and implemented based on the existing SCADA system. By incorporating network loss, gas consumption and voltage deviation into a synthesized objective function and taking the various operational constraints into account, the power-control task is formulated into a mixed-integer nonlinear optimized problem. And then an efficient procedure that combines the interior point method and the fast branch and bound method is developed to solve the problem. Consequently the optimal control strategy can be obtained online and either system security or operational efficiency is achieved. The developed control system has been put into practical use in the Weixinan offshore oil-platform power system (China’s first of its kind). Field test results show that it can coordinate active and reactive power for online optimal control as per the changes of operating conditions. The improved safety, efficiency and power quality of the power system will definitely promote exploitation of offshore oil and gas in the respect of both security and efficiency.
Xiaorong Xie; Jianliang Zhong; Yingyun Sun; Jianfeng Wang; Che Wei. Online Optimal Power Control of an Offshore Oil-Platform Power System. Technology and Economics of Smart Grids and Sustainable Energy 2018, 3, 18 .
AMA StyleXiaorong Xie, Jianliang Zhong, Yingyun Sun, Jianfeng Wang, Che Wei. Online Optimal Power Control of an Offshore Oil-Platform Power System. Technology and Economics of Smart Grids and Sustainable Energy. 2018; 3 (1):18.
Chicago/Turabian StyleXiaorong Xie; Jianliang Zhong; Yingyun Sun; Jianfeng Wang; Che Wei. 2018. "Online Optimal Power Control of an Offshore Oil-Platform Power System." Technology and Economics of Smart Grids and Sustainable Energy 3, no. 1: 18.
The existence of ac and dc grid leads to a new concept of hybrid microgrid in which both grids are tied by an interlinking converter (ILC). Various control schemes of ILC have been discussed in literature but there is a lack of a generalized, autonomous control which considers the tie line capacity between ac and dc grids. In addition, the majority of schemes involve switching between control modes which increases power losses. To address these issues, this paper presents a generalized droop scheme of ILC for power sharing and control in a standalone hybrid ac/dc microgrid. A 3-dimensional plane is proposed where the axis correspond to dc voltage, ac frequency and converter power. The converter utilizes frequency droop at ac terminal and voltage droop at dc terminal so any change in voltage or frequency results in active power flow from an underloaded to overloaded grid. A corresponding mathematical model is also presented which determines the impact of load change on frequency and dc voltage. The proposed scheme enables autonomous power transfer in both directions without any form of communication. A comparison between the traditional normalization scheme and proposed scheme is also presented where it is observed that this method reduces the frequency deviations and transient response time, thereby giving a better performance. Both the simulations and experimental results confirm the validity of the proposed model.
Sarmad Majeed Malik; Yingyun Sun; Wen Huang; Xin Ai; Zhikang Shuai. A Generalized Droop Strategy for Interlinking Converter in a Standalone Hybrid Microgrid. Applied Energy 2018, 226, 1056 -1063.
AMA StyleSarmad Majeed Malik, Yingyun Sun, Wen Huang, Xin Ai, Zhikang Shuai. A Generalized Droop Strategy for Interlinking Converter in a Standalone Hybrid Microgrid. Applied Energy. 2018; 226 ():1056-1063.
Chicago/Turabian StyleSarmad Majeed Malik; Yingyun Sun; Wen Huang; Xin Ai; Zhikang Shuai. 2018. "A Generalized Droop Strategy for Interlinking Converter in a Standalone Hybrid Microgrid." Applied Energy 226, no. : 1056-1063.
Large-scale electric vehicle (EV) integration will introduce new challenges to the complex, constrained, and coupled electric power-traffic networks (PTN). In this paper, a coordinated solution for Stochastic Security Constrained Unit Commitment-Traffic Assignment Problem (SCUC-TAP) is proposed in which stochastic SCUC is used to model the power grid operation with large-scale renewable energy integration, and TAP is used to model the constrained traffic network. The impact of the departure time of commuting EVs on mitigating the congestion in PTN is analyzed based on proposed model. A heuristic algorithm using Benders decomposition is proposed in which the traffic plan is introduced for decoupling the proposed SCUC-TAP and taking the full use of existing software packages of TAP and stochastic SCUC. Two case studies including a 6-bus power system with 9 nodes and 24 directed links traffic network and an IEEE 118-bus system with three independent urban traffic network are used to simulate various scenarios in the coupled networks of power and transportation. The simulation results show that by introducing a flexible EV charge/travel schedule, the power system generation and delivery costs can be further reduced in which most EV users gain from the optimization of transportation, charge/discharge, and power system delivery schedules.
Yingyun Sun; Zhengqi Chen; Zuyi Li; Wei Tian; Mohammad Shahidehpour. EV Charging Schedule in Coupled Constrained Networks of Transportation and Power System. IEEE Transactions on Smart Grid 2018, 10, 4706 -4716.
AMA StyleYingyun Sun, Zhengqi Chen, Zuyi Li, Wei Tian, Mohammad Shahidehpour. EV Charging Schedule in Coupled Constrained Networks of Transportation and Power System. IEEE Transactions on Smart Grid. 2018; 10 (5):4706-4716.
Chicago/Turabian StyleYingyun Sun; Zhengqi Chen; Zuyi Li; Wei Tian; Mohammad Shahidehpour. 2018. "EV Charging Schedule in Coupled Constrained Networks of Transportation and Power System." IEEE Transactions on Smart Grid 10, no. 5: 4706-4716.
To evaluate the effect of virtual power plant participating in power coordination and optimal dispatching, this paper proposes a comprehensive evaluation index system including 9 indexes from reliability, economy and technology. It is based on general principals of constructing comprehensive evaluation index system with characteristics and functions of virtual power plant. To verify the rationality and effectiveness of the evaluation system, a regional power grid in Henan province was taken as an example, reliability indexes were calculated through a Monte Carlo simulation. Then, economy and technology indexes were reckoned according to expressions of index definition. Finally, the results were ranked and evaluated by Composite Index method. This comprehensive evaluation index system differs from it of traditional power plant with characteristics and functions of virtual power plant. It provides a possibility to fill the gap in this field of research to some extent.
Jia Min Xu; Yingyun Sun; Qian Sun; Jian Wei Ma. A Comprehensive Evaluation Index System of Virtual Power Plant Participating in Power Coordination and Optimal Dispatching. 2018 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD) 2018, 1 -2.
AMA StyleJia Min Xu, Yingyun Sun, Qian Sun, Jian Wei Ma. A Comprehensive Evaluation Index System of Virtual Power Plant Participating in Power Coordination and Optimal Dispatching. 2018 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD). 2018; ():1-2.
Chicago/Turabian StyleJia Min Xu; Yingyun Sun; Qian Sun; Jian Wei Ma. 2018. "A Comprehensive Evaluation Index System of Virtual Power Plant Participating in Power Coordination and Optimal Dispatching." 2018 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD) , no. : 1-2.
The application of Battery-based Energy Storage System (BESS) has many benefits in the power grid such as frequency support, emergency assistance, lowering costs, and flattening the load curve. In this paper, a modified stochastic security-constrained unit commitment (SCUC) model is introduced to simulate the daily operation of power system. By setting both installed position and capacity of BESS as optimization variables, the model can give the optimal location and capacity of BESS simultaneously. Scenario trees are adopted to represent the forecasting inaccuracies of wind power and load. Furthermore, a benders decomposition based algorithm is used to solve the model. Two classical cases, IEEE 6-bus and IEEE 118-bus system, are used to verify the effectiveness of the proposed approach.
Fanxing Meng; Yingyun Sun. Study on Stochastic SCUC Based BESS Planning Problem. 2017 IEEE International Conference on Energy Internet (ICEI) 2017, 107 -112.
AMA StyleFanxing Meng, Yingyun Sun. Study on Stochastic SCUC Based BESS Planning Problem. 2017 IEEE International Conference on Energy Internet (ICEI). 2017; ():107-112.
Chicago/Turabian StyleFanxing Meng; Yingyun Sun. 2017. "Study on Stochastic SCUC Based BESS Planning Problem." 2017 IEEE International Conference on Energy Internet (ICEI) , no. : 107-112.
Sarmad Majeed Malik; Xin Ai; Yingyun Sun; Chen Zhengqi; Zhou Shupeng. Voltage and frequency control strategies of hybrid AC/DC microgrid: a review. IET Generation, Transmission & Distribution 2017, 11, 303 -313.
AMA StyleSarmad Majeed Malik, Xin Ai, Yingyun Sun, Chen Zhengqi, Zhou Shupeng. Voltage and frequency control strategies of hybrid AC/DC microgrid: a review. IET Generation, Transmission & Distribution. 2017; 11 (2):303-313.
Chicago/Turabian StyleSarmad Majeed Malik; Xin Ai; Yingyun Sun; Chen Zhengqi; Zhou Shupeng. 2017. "Voltage and frequency control strategies of hybrid AC/DC microgrid: a review." IET Generation, Transmission & Distribution 11, no. 2: 303-313.
Small isolated power systems are generally located in remote areas which are rather far away from the power grid. Renewable energy such as wind power is introduced into small isolated power systems directly to reduce power generation cost and increase the economy. However, it brings challenges on the operation and control of small isolated power system. To insure the economy and stability of small isolated power systems, this paper puts forward a small isolated power system unit commitment model with state-controllable wind power. Wind turbines are regarded as state-controllable and discrete-regulated random power sources in the proposed model to reduce the operation risk of power system. Furthermore, based on scenario analysis, the model is solved with L-shaped algorithm which decouples discrete variables and continuous variables while decoupling of deterministic and random variables is used to decrease calculation burden of the problem. Finally, the case analysis indicates the feasibility and validity of the proposed model.
Ruomeng Jiang; Jianliang Zhong; Sarmad Majeed Malik; Yingyun Sun. A Small Isolated Power System SCUC Model with State-Controllable Wind Power. 2016 3rd International Conference on Information Science and Control Engineering (ICISCE) 2016, 794 -798.
AMA StyleRuomeng Jiang, Jianliang Zhong, Sarmad Majeed Malik, Yingyun Sun. A Small Isolated Power System SCUC Model with State-Controllable Wind Power. 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). 2016; ():794-798.
Chicago/Turabian StyleRuomeng Jiang; Jianliang Zhong; Sarmad Majeed Malik; Yingyun Sun. 2016. "A Small Isolated Power System SCUC Model with State-Controllable Wind Power." 2016 3rd International Conference on Information Science and Control Engineering (ICISCE) , no. : 794-798.
Battery-Based Energy Storage Transportation (BEST) is a potential solution for optimizing the power system operations with a high penetration of wind energy. In this paper, we propose a scenario-based stochastic model for the BEST-integrated power system scheduling. In this model, load and wind energy forecasting inaccuracies and random disturbances are modeled in scenario trees using the Monte Carlo simulation method. Random disturbances represent forced outages of both power system and railway system components, including generation units, transmission lines, railway stations, and railway lines. Benders decomposition is adopted to solve the stochastic model. Two BEST-integrated power systems are used to illustrate the proposed model and the performance of the proposed solution algorithm. The first one is a 6-bus power system integrated with a 3-station and 3-line railway network. The second one is the modified IEEE 118-bus power system integrated with a railway network composed of 8 railway stations and 10 rail lines. Simulation results show that the BEST system implementation is a viable option for managing the large-scale integration of wind power which can reduce the curtailment of wind power and accordingly lower the operation cost of power systems.
Yingyun Sun; Jianliang Zhong; Zuyi Li; Wei Tian; Mohammad Shahidehpour. Stochastic Scheduling of Battery-Based Energy Storage Transportation System With the Penetration of Wind Power. IEEE Transactions on Sustainable Energy 2016, 8, 135 -144.
AMA StyleYingyun Sun, Jianliang Zhong, Zuyi Li, Wei Tian, Mohammad Shahidehpour. Stochastic Scheduling of Battery-Based Energy Storage Transportation System With the Penetration of Wind Power. IEEE Transactions on Sustainable Energy. 2016; 8 (1):135-144.
Chicago/Turabian StyleYingyun Sun; Jianliang Zhong; Zuyi Li; Wei Tian; Mohammad Shahidehpour. 2016. "Stochastic Scheduling of Battery-Based Energy Storage Transportation System With the Penetration of Wind Power." IEEE Transactions on Sustainable Energy 8, no. 1: 135-144.
Microgrid is becoming an attractive concept to meet the increasing demands for energy and deal with air pollutions. Distributed energy sources (DERs) in Microgrid are usually interfaced with the utility grid by inverters, so the characteristics of Microgrid stability are much different from that of a traditional grid. However, the classifications, guidelines, and analysis method of Microgrid stability are well behind of the Microgrid development. In this paper, a Microgrid stability classification methodology is proposed on the basis of the of Microgrid characteristics investigation, which considers the Microgrid operation mode, types of disturbance and time frame. Then a comprehensive review of the body of research on Microgrid stability is presented in order to identify and advance the field. Finally, some challenges and suggestions of Microgrid stability for further researches are discussed.
Zhikang Shuai; Yingyun Sun; Z. John Shen; Wei Tian; Chunming Tu; Yan Li; Xin Yin. Microgrid stability: Classification and a review. Renewable and Sustainable Energy Reviews 2016, 58, 167 -179.
AMA StyleZhikang Shuai, Yingyun Sun, Z. John Shen, Wei Tian, Chunming Tu, Yan Li, Xin Yin. Microgrid stability: Classification and a review. Renewable and Sustainable Energy Reviews. 2016; 58 ():167-179.
Chicago/Turabian StyleZhikang Shuai; Yingyun Sun; Z. John Shen; Wei Tian; Chunming Tu; Yan Li; Xin Yin. 2016. "Microgrid stability: Classification and a review." Renewable and Sustainable Energy Reviews 58, no. : 167-179.
An intrusive spectral method of probabilistic load flow (PLF) is proposed in the paper, which can handle the uncertainties arising from renewable energy integration. Generalized polynomial chaos (gPC) expansions of dependent random variables are utilized to build a spectral stochastic representation of PLF model. Instead of solving the coupled PLF model with a traditional, cumbersome method, a modified stochastic Galerkin (SG) method is proposed based on the P-Q decoupling properties of load flow in power system. By introducing two pre-calculated constant sparse Jacobian matrices, the computational burden of the SG method is significantly reduced. Two cases, IEEE 14-bus and IEEE 118-bus systems, are used to verify the computation speed and efficiency of the proposed method.
Yingyun Sun; Rui Mao; Zuyi Li; Wei Tian. Constant Jacobian Matrix-Based Stochastic Galerkin Method for Probabilistic Load Flow. Energies 2016, 9, 153 .
AMA StyleYingyun Sun, Rui Mao, Zuyi Li, Wei Tian. Constant Jacobian Matrix-Based Stochastic Galerkin Method for Probabilistic Load Flow. Energies. 2016; 9 (3):153.
Chicago/Turabian StyleYingyun Sun; Rui Mao; Zuyi Li; Wei Tian. 2016. "Constant Jacobian Matrix-Based Stochastic Galerkin Method for Probabilistic Load Flow." Energies 9, no. 3: 153.
In this paper, we propose a security-constrained unit commitment (SCUC) model which considers the impact of mobility of Battery-based Energy Storage Transportation (BEST) system. The BEST technology considers the transmission of electricity via rails (in the form of storage) rather than utilizing transmission lines, which allows transmission grid operators to focus on certain geographical regions of the grid and provides the grid with more flexibility to relieve the congestion. To solve the resulting large-scale MILP model, a Lagrangian decomposition-based technology is presented, which uses a modified sub-gradient method to accelerate the convergence of the BEST algorithm. The IEEE 118-bus system integrated with a railway network composed of 8 railway stations and 10 rail lines is used to illustrate the applicability of the BEST model and the performance of the algorithm. The results show that the BEST solution can reduce the overall cost of power delivery by transporting the electricity from low locational marginal price (LMP) areas to high LMP areas, relieve transmission congestion, reduce the need for acquiring additional transmission right-of-ways, and optimize the use of existing space on freight trains which is already vacated by the closure of coal power plants throughout the country.
Yingyun Sun; Zuyi Li; Wei Tian; Mohammad Shahidehpour. A Lagrangian Decomposition Approach to Energy Storage Transportation Scheduling in Power Systems. IEEE Transactions on Power Systems 2016, 31, 4348 -4356.
AMA StyleYingyun Sun, Zuyi Li, Wei Tian, Mohammad Shahidehpour. A Lagrangian Decomposition Approach to Energy Storage Transportation Scheduling in Power Systems. IEEE Transactions on Power Systems. 2016; 31 (6):4348-4356.
Chicago/Turabian StyleYingyun Sun; Zuyi Li; Wei Tian; Mohammad Shahidehpour. 2016. "A Lagrangian Decomposition Approach to Energy Storage Transportation Scheduling in Power Systems." IEEE Transactions on Power Systems 31, no. 6: 4348-4356.
Offshore oil-platform power systems are important infrastructure for the exploitation of maritime oil and gas. However, their current energy management systems, with relatively simple control schemes and low-level automation, can hardly operate the systems in a secure and economic manner to match the rapid progress of offshore oil and gas exploitation. To address this issue, an online multi-objective optimal power control strategy is proposed and implemented based on the existing Supervisory Control And Data Acquisition (SCADA) system. By incorporating network loss, gas consumption and voltage deviation into a synthesized objective function and taking the various operational constraints into account, the power-control task is formulated into a mixed-integer nonlinear optimized problem. And then an efficient procedure that combines the interior point and the fast branch-bound methods are developed to solve the problem. Consequently the optimal control strategy can be obtained online and either system security or operational efficiency is achieved. The developed control system has been put into practical use in the Weixinan offshore oil-platform power system (China's first of its kind). Field test results show that it can coordinate active and reactive power for online optimal control as per the changes of operating conditions. The improved safety, efficiency and power quality of the power systems will definitely promote exploitation of offshore oil and gas in the respects of both security and efficiency.
Jianliang Zhong; Yingyun Sun; Xiaorong Xie; Jianfeng Wang; Che Wei. Online optimal power control of offshore oil-platform power systems based on interior point and fast branch-bound methods. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2015, 2353 -2358.
AMA StyleJianliang Zhong, Yingyun Sun, Xiaorong Xie, Jianfeng Wang, Che Wei. Online optimal power control of offshore oil-platform power systems based on interior point and fast branch-bound methods. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). 2015; ():2353-2358.
Chicago/Turabian StyleJianliang Zhong; Yingyun Sun; Xiaorong Xie; Jianfeng Wang; Che Wei. 2015. "Online optimal power control of offshore oil-platform power systems based on interior point and fast branch-bound methods." 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) , no. : 2353-2358.
This paper evaluates the effect of integrating battery-based energy storage transportation (BEST) by railway transportation network on power grid operation and control. A time-space network model is adopted to represent transportation constraints. The proposed model integrates the hourly security-constrained unit commitment with vehicle routing problem. The BEST solution provides the locational and hourly charging/discharging schedule of the battery storage system. The mobility of BEST will be of particular interest for enhancing the power system resilience in disaster areas where the transmission grid is congested or on outrage. Two cases are used to simulate the BEST including a six-bus power system linking with a three-station railway system, as well as the IEEE 118-bus systems linking with an eight-station railway system. The results show that under certain conditions, the mobility of battery storage system can economically relieve the transmission congestion and lower the operation costs.
Yingyun Sun; Zuyi Li; Mohammad Shahidehpour; Bo Ai. Battery-Based Energy Storage Transportation for Enhancing Power System Economics and Security. IEEE Transactions on Smart Grid 2015, 6, 2395 -2402.
AMA StyleYingyun Sun, Zuyi Li, Mohammad Shahidehpour, Bo Ai. Battery-Based Energy Storage Transportation for Enhancing Power System Economics and Security. IEEE Transactions on Smart Grid. 2015; 6 (5):2395-2402.
Chicago/Turabian StyleYingyun Sun; Zuyi Li; Mohammad Shahidehpour; Bo Ai. 2015. "Battery-Based Energy Storage Transportation for Enhancing Power System Economics and Security." IEEE Transactions on Smart Grid 6, no. 5: 2395-2402.
This paper first analyzes the model reduction process of linear and nonlinear systems by Krylov subspace methods. Then reduced-order transformation is used to reduce the order of the power system nonlinear dynamic model, which reduces the dimension of the dynamic model and can describe the dynamic process of generator frequency accurately. Finally, IEEE 10-machine 39-bus system is used to verify the validity of the reduction method. Simulation results show that using Krylov subspace model reduction method for power system dynamic model greatly reduces simulation time of power system dynamic simulation and reserve dynamic stability of the original system under the premise of accuracy. At the same time, reduced order model lays the foundation for faster and more efficient active power-frequency control strategies.
Yingyun Sun; Jingyuan Dong; Tianjiao Pu; Ting Yu. Reduction of power system dynamic model using Krylov subspace method. 2014 International Conference on Power System Technology 2014, 343 -348.
AMA StyleYingyun Sun, Jingyuan Dong, Tianjiao Pu, Ting Yu. Reduction of power system dynamic model using Krylov subspace method. 2014 International Conference on Power System Technology. 2014; ():343-348.
Chicago/Turabian StyleYingyun Sun; Jingyuan Dong; Tianjiao Pu; Ting Yu. 2014. "Reduction of power system dynamic model using Krylov subspace method." 2014 International Conference on Power System Technology , no. : 343-348.
In recent years, transient voltage instability occurs occasionally in large-scale AC/DC mixed receiving systems which may cause serious economic losses and adverse social impact. Therefore, how to evaluate transient voltage stability when the system suffers serious disturbances poses a great challenge for safe operation of modern power systems, hi this paper, firstly the mechanism of transient voltage instability in a typical receiving-end power system, i.e., Guangzhou power grid, is discussed based on in-depth analysis. Secondly, we propose a quantitative assessment method to determine the transient voltage stability of actual large-scale power grid. The key to the quantitative evaluation method is the definition of various voltage sag indexes based on the transient voltage stability criterion under large disturbances. Based on these well-defined voltage sag indexes, the various influencing factors of transient voltage instability have been identified, including the model of comprehensive load and the type of fault As a case study, the Guangzhou power grid is used to verify the proposed method. This huge receiving-end system is simulated with PSD-BPA and the voltage sag indices are worked out under different operating conditions and disturbances to evaluate its transient voltage stability and the crucial influencing factors. The simulation results demonstrate the effectiveness of the proposed method and indices for quantitative assessment of transient voltage stability of large-scale actual system. They also give an intuitive and quantitative measure of the influence of fault type and load model on transient voltage stability.
Yingyun Sun; Jianlan Hou; Yuquan Liu; Meng Ye; Ke Wang; Xiaorong Xie. A quantitative evaluation method of transient voltage stability for large-scale receiving systems and its influencing factors. 2014 International Conference on Power System Technology 2014, 300 -306.
AMA StyleYingyun Sun, Jianlan Hou, Yuquan Liu, Meng Ye, Ke Wang, Xiaorong Xie. A quantitative evaluation method of transient voltage stability for large-scale receiving systems and its influencing factors. 2014 International Conference on Power System Technology. 2014; ():300-306.
Chicago/Turabian StyleYingyun Sun; Jianlan Hou; Yuquan Liu; Meng Ye; Ke Wang; Xiaorong Xie. 2014. "A quantitative evaluation method of transient voltage stability for large-scale receiving systems and its influencing factors." 2014 International Conference on Power System Technology , no. : 300-306.