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The ever-increasing interdependencies of gas and power transmission networks have made it possible for disruptions in one subnetwork to permeate to the connected ones and trigger widespread blackouts. One of the most critical issues is to restore the interdependent gas and power networks (IGPNs) to normal operation as soon as possible after complete blackouts. The interdependencies of gas and power networks, together with different operating characteristics bring about additional complexities to the formulation of restoration schemes. As a necessary and challenging task, restoration strategy optimization for IGPNs is tackled in this paper. Firstly, system functionality metrics are defined to characterize the real-time performance level, then resilience metrics are developed by capturing recovery features of system functionality. Secondly, the restoration sequence optimization model is developed to determine the restoration sequence of failed components to maximize resilience, in which restoration characteristics in terms of repair modes, repair time, and recovery costs are considered. To relieve the computational burden, the skeleton-network reconfiguration model is proposed to determine critical components to restore within limited resources. Moreover, linearization methods are utilized to transform models into mixed-integer linear programming problems. The results in test cases not only illustrate the effectiveness of the proposed approach to enhance the system resilience, but also illustrate the impacts of resources, crews, and repair modes on resilience, which help system operators to constitute restoration strategies quickly and develop resilience enhancement measures.
Maosheng Sang; Yi Ding; Minglei Bao; Siying Li; Chengjin Ye; Youtong Fang. Resilience-based restoration strategy optimization for interdependent gas and power networks. Applied Energy 2021, 302, 117560 .
AMA StyleMaosheng Sang, Yi Ding, Minglei Bao, Siying Li, Chengjin Ye, Youtong Fang. Resilience-based restoration strategy optimization for interdependent gas and power networks. Applied Energy. 2021; 302 ():117560.
Chicago/Turabian StyleMaosheng Sang; Yi Ding; Minglei Bao; Siying Li; Chengjin Ye; Youtong Fang. 2021. "Resilience-based restoration strategy optimization for interdependent gas and power networks." Applied Energy 302, no. : 117560.
High-capacity long-distance transmission lines, such as high-voltage direct-current (HVDC) lines, are vulnerable to extreme weather. Their failures may cause significant power loss and frequency drop in the receiving-end power systems, which should be considered in the power system scheduling. In this paper, the failure rates of transmission lines subject to extreme weather conditions are firstly modeled to obtain the probability of failure events. Then, a novel criterion defined by the integration of abnormal frequency during the primary and secondary frequency regulation process is proposed to measure frequency security. This criterion is capable to reflect the cumulative frequency deviation effect and distinguish the contributions of different frequency regulation reserve providers, e.g., generators and flexible loads. Moreover, the linearity of the criterion makes it easy to be incorporated into optimization problems. Finally, a two-stage stochastic frequency constrained unit commitment (FCUC) model is developed to optimally schedule generators and flexible loads while satisfying the frequency security constraints under transmission line failure events. The proposed FCUC model is efficiently solved by a regularized L-shape algorithm. The proposed model and techniques are validated based on the modified IEEE 118 and 300 bus systems with realistic meteorological data.
Yang Yang; Jimmy Chih-Hsien Peng; Chengjin Ye; Zhisheng Ye; Yi Ding. A Criterion and Stochastic Unit Commitment towards Frequency Resilience of Power Systems. IEEE Transactions on Power Systems 2021, PP, 1 -1.
AMA StyleYang Yang, Jimmy Chih-Hsien Peng, Chengjin Ye, Zhisheng Ye, Yi Ding. A Criterion and Stochastic Unit Commitment towards Frequency Resilience of Power Systems. IEEE Transactions on Power Systems. 2021; PP (99):1-1.
Chicago/Turabian StyleYang Yang; Jimmy Chih-Hsien Peng; Chengjin Ye; Zhisheng Ye; Yi Ding. 2021. "A Criterion and Stochastic Unit Commitment towards Frequency Resilience of Power Systems." IEEE Transactions on Power Systems PP, no. 99: 1-1.
To coordinate the generation resources located in the integrated transmission and distribution systems (ITD) considering renewable uncertainty, dynamic economic dispatch (DED) is essential. This paper proposes a coordinated robust DED (CRDED) model to enhance cost-effectiveness and reliability from a system perspective. Then, how to measure the operational risk in the robust model is discussed, if the probability function of the renewable output is obtained, with a risk-based CRDED model established correspondingly. A distributed framework is also presented to solve these two models in a decentralized way, as the transmission and distribution systems solve their regional problems autonomously. The alternating direction method of multipliers (ADMM), which is one of the most efficient dual decomposition methods, is utilized in this framework. Besides, to handle the problem that it is hard to predetermine the value of penalty factors, a varying penalty factor strategy (VPS) is further applied to enhance the convergence property of ADMM, with the global optimal solution achieved within much fewer iteration numbers. Since the system operators only need to exchange the boundary power, the communication burden is light, and the regional information privacy is enhanced. Case studies on the 448-bus T118D10 system illustrate the effectiveness of the proposed model and approach.
Zhe Chen; Chuangxin Guo; Shufeng Dong; Yi Ding; Hangyin Mao. Distributed Robust Dynamic Economic Dispatch of Integrated Transmission and Distribution Systems. IEEE Transactions on Industry Applications 2021, 57, 4500 -4512.
AMA StyleZhe Chen, Chuangxin Guo, Shufeng Dong, Yi Ding, Hangyin Mao. Distributed Robust Dynamic Economic Dispatch of Integrated Transmission and Distribution Systems. IEEE Transactions on Industry Applications. 2021; 57 (5):4500-4512.
Chicago/Turabian StyleZhe Chen; Chuangxin Guo; Shufeng Dong; Yi Ding; Hangyin Mao. 2021. "Distributed Robust Dynamic Economic Dispatch of Integrated Transmission and Distribution Systems." IEEE Transactions on Industry Applications 57, no. 5: 4500-4512.
Due to the increasing interactions between the natural gas system (NGS) and electric power system (EPS), the failures of power-lines or gas pipelines in one system may influence another system and consequently trigger widespread disruptions. Hence, identifying these critical components and protecting them from malfunctions are essential to prevent the collapse of integrated gas and power systems (IGPSs). Considering the effects of both network topologies and operational features on the resiliency evaluation, a novel assessment framework is proposed in this paper to screen out critical power-lines and gas pipelines. First, the framework of IGPSs is introduced and an optimal energy flow (OEF) model is constructed to quickly obtain the operation states under various disturbances. Furthermore, the resiliency metrics (RMs) are developed from structural and operational perspectives respectively. Specifically, structural RMs consider the coupling topologies to capture the structure-related resiliency, while operational RMs analyse the resiliency related to gas and power flow to capture physical operation characteristics. Finally, an assessment algorithm synthesizing all the metrics is proposed to quantify the comprehensive resiliency, based on which critical power-lines and pipelines (CPPs) can be detected. The effectiveness of the proposed approach is validated by an IGPS test system.
Maosheng Sang; Yi Ding; Ming Ding; Minglei Bao; Peng Wang; Lei Sun. Metrics and quantification of power‐line and pipeline resiliency in integrated gas and power systems. IET Generation, Transmission & Distribution 2021, 1 .
AMA StyleMaosheng Sang, Yi Ding, Ming Ding, Minglei Bao, Peng Wang, Lei Sun. Metrics and quantification of power‐line and pipeline resiliency in integrated gas and power systems. IET Generation, Transmission & Distribution. 2021; ():1.
Chicago/Turabian StyleMaosheng Sang; Yi Ding; Ming Ding; Minglei Bao; Peng Wang; Lei Sun. 2021. "Metrics and quantification of power‐line and pipeline resiliency in integrated gas and power systems." IET Generation, Transmission & Distribution , no. : 1.
Increasing levels of complexity, due to growing volumes of renewable generation with an associated influx of power electronics, are placing increased demands on the reliable operation of modern power systems. Consequently, phasor measurement units (PMUs) are being rapidly deployed in order to further enhance situational awareness for power system operators. This paper presents a novel data-driven event detection approach based on random matrix theory (RMT) and Kalman filtering. A dynamic Kalman filtering technique is proposed to condition PMU data. Both simulated and real PMU data from the transmission system of Great Britain (GB) are utilized in order to validate the proposed event detection approach and the results show that the proposed approach is much more robust with regard to event detection when applied in practical situations.
Fujia Han; Phillip Ashton; Maozhen Li; Ioana Pisica; Gareth Taylor; Barry Rawn; Yi Ding. A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering. Energies 2021, 14, 2166 .
AMA StyleFujia Han, Phillip Ashton, Maozhen Li, Ioana Pisica, Gareth Taylor, Barry Rawn, Yi Ding. A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering. Energies. 2021; 14 (8):2166.
Chicago/Turabian StyleFujia Han; Phillip Ashton; Maozhen Li; Ioana Pisica; Gareth Taylor; Barry Rawn; Yi Ding. 2021. "A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering." Energies 14, no. 8: 2166.
A large variety of real engineering systems operate with multiple performance measures that are multistate in nature. These systems are usually modeled as multiperformance multistate systems (MPMSSs). However, existing MPMSS models fail to consider an important aspect, i.e., the performance conversion process. For example, in a combined heat and power (CHP) generating unit, apart from the output heat and electricity, decision-makers are also interested in the unit's capacity to convert gas into electricity and heat. The latter is related to the performance conversion process. This article proposes a framework for the reliability evaluation of performance conversion-based MPMSS. In the proposed MPMSS model, the couplings among different types of performances inside the components are quantified into the multistate performance conversion matrix. The performance conversion structure functions are proposed to derive system performance conversion capability based on the conversion capabilities of the components. Two reliability evaluation methods considering the steady-state performance conversion process and the continuous-time performance conversion process are proposed, respectively. Numerical examples are given to demonstrate the developed methods.
Yi Ding; Yishuang Hu; Yu Lin; Zhiguo Zeng. Reliability Analysis of Multiperformance Multistate System Considering Performance Conversion Process. IEEE Transactions on Reliability 2021, PP, 1 -14.
AMA StyleYi Ding, Yishuang Hu, Yu Lin, Zhiguo Zeng. Reliability Analysis of Multiperformance Multistate System Considering Performance Conversion Process. IEEE Transactions on Reliability. 2021; PP (99):1-14.
Chicago/Turabian StyleYi Ding; Yishuang Hu; Yu Lin; Zhiguo Zeng. 2021. "Reliability Analysis of Multiperformance Multistate System Considering Performance Conversion Process." IEEE Transactions on Reliability PP, no. 99: 1-14.
Thermostatically controlled loads (TCLs) are regarded as one of the promising resources for suppressing power fluctuations of renewable energy (RENs). However, due to great burdens of fully considering each users characteristics, it is difficult to achieve unity of the individual optimal consumption and global optimal scheme in demand-side management (DSM). This paper proposes a game-theoretic DSM that can optimize the global power consumption schedule by individual TCL user's optimization. By integrating the prediction of REN outputs into the pricing mechanism, the proposed DSM can guide the users to make their best power consumption schedule along with fluctuating REN generations, thus to smooth the tie-line power of microgrids. In this paper, a novel pricing mechanism is firstly developed based on the concave N-person game theory, which is more adaptive and flexible compared with existing game-theoretic DSM schemes. Then, an individual's power consumption optimization and its simplified model are developed considering the constraints of the TCL model and personal preferences. The simplified model can be easily solved and achieve a fast solution in the power consumption game. An implementation framework of the proposed DSM is further developed for practical application. Finally, numerical studies verify the effectiveness of the proposed models and methods.
Yi Ding; Dunjian Xie; Hongxun Hui; Yan Xu; Pierluigi Siano. Game-Theoretic Demand Side Management of Thermostatically Controlled Loads for Smoothing Tie-Line Power of Microgrids. IEEE Transactions on Power Systems 2021, 36, 4089 -4101.
AMA StyleYi Ding, Dunjian Xie, Hongxun Hui, Yan Xu, Pierluigi Siano. Game-Theoretic Demand Side Management of Thermostatically Controlled Loads for Smoothing Tie-Line Power of Microgrids. IEEE Transactions on Power Systems. 2021; 36 (5):4089-4101.
Chicago/Turabian StyleYi Ding; Dunjian Xie; Hongxun Hui; Yan Xu; Pierluigi Siano. 2021. "Game-Theoretic Demand Side Management of Thermostatically Controlled Loads for Smoothing Tie-Line Power of Microgrids." IEEE Transactions on Power Systems 36, no. 5: 4089-4101.
District energy system (DES) has become a popular form of supplying comprehensive energy demands in local buildings. For DESs, the operational flexibility can be maintained by energy conversion and storage facilities. Hence, DESs are capable of providing operating reserves to local power systems. This paper addresses the implementation challenges of allowing DES to be deployed alongside conventional generators for providing operating reserves. A two-level hierarchical market framework is proposed which involves a wholesale energy-reserve market for conventional power plants and a subordinate DES operating reserve market. The subordinate operating reserve market determines the quantity and the marginal price of operating reserves provided by DESs. The two markets are linked by the price elastic-quantity provided in the operating reserve demand curve (ORDC) to achieve the stated market coordination. A decentralized decision-making structure is proposed to clear the subordinate operating reserve market considering DES privacy and security requirements. A nested dual-loop solution process is proposed to solve the decentralized optimization problem. A test system is used to illustrate the benefits of the proposed technique in supplying operating reserves through DESs.
Bo Hu; Yue Sun; Changzheng Shao; Mohammad Shahidehpour; Yi Ding; Tao Niu; Kaigui Xie. A Decentralized Market Framework for Procurement of Operating Reserves From District Energy Systems. IEEE Transactions on Sustainable Energy 2021, 12, 1629 -1639.
AMA StyleBo Hu, Yue Sun, Changzheng Shao, Mohammad Shahidehpour, Yi Ding, Tao Niu, Kaigui Xie. A Decentralized Market Framework for Procurement of Operating Reserves From District Energy Systems. IEEE Transactions on Sustainable Energy. 2021; 12 (3):1629-1639.
Chicago/Turabian StyleBo Hu; Yue Sun; Changzheng Shao; Mohammad Shahidehpour; Yi Ding; Tao Niu; Kaigui Xie. 2021. "A Decentralized Market Framework for Procurement of Operating Reserves From District Energy Systems." IEEE Transactions on Sustainable Energy 12, no. 3: 1629-1639.
Due to global climate change, the effect of extreme weather on power systems has attracted extensive attention. In the prior-art grid resilience studies, the hurricanes or wildfires are mainly defended in terms of expected line damages, while they are prone to trigger short-circuit fault (SCF) evolved with dynamic influence. In this paper, a fragile model is developed to evaluate the nodal SCF probability considering the insulation aging of equipment and extreme weather condition. Then, a response framework for extreme weather events is developed for a transmission system to defend the cascading impacts of expected SCFs. Specifically, switches are shifted to restrain the out-of-range short-circuit currents so that to ensure the SCFs can be removed by circuit breakers, generation rescheduling and load shedding are arranged to maintain the system transient stability. The above measures are optimized simultaneously by an integrated Mixed-Integer Nonlinear Programming. Considering the uncertainty of weather event forecasts, a multi-state model is established to provide the most cost-effective grid resilience enhancement scheme, in which the expected urgent adaptions of the initial scheme subject to weather state transition is included in the overall cost. The proposed model are validated using the IEEE 39-bus New-England test system and realistic meteorological data.
Chao Guo; Chengjin Ye; Yi Ding; Peng Wang. A Multi-State Model for Transmission System Resilience Enhancement Against Short-Circuit Faults Caused by Extreme Weather Events. IEEE Transactions on Power Delivery 2020, 36, 2374 -2385.
AMA StyleChao Guo, Chengjin Ye, Yi Ding, Peng Wang. A Multi-State Model for Transmission System Resilience Enhancement Against Short-Circuit Faults Caused by Extreme Weather Events. IEEE Transactions on Power Delivery. 2020; 36 (4):2374-2385.
Chicago/Turabian StyleChao Guo; Chengjin Ye; Yi Ding; Peng Wang. 2020. "A Multi-State Model for Transmission System Resilience Enhancement Against Short-Circuit Faults Caused by Extreme Weather Events." IEEE Transactions on Power Delivery 36, no. 4: 2374-2385.
Multi-state system (MSS) models have been widely used to represent the reliability of engineering systems that have a finite number of performance levels. The previous studies related to the reliability evaluation of the MSSs generally follow the assumption that the transition among different performance states is instantaneous with no time delay. However, there exist several engineering systems that transit slowly between different states, such as gas supply systems and heating distribution systems. When evaluating the operating reliability of such an engineering system, the neglect of the non-instant state transition process may lead to inaccurate or insufficient evaluation results. To fill the research gap, the traditional MSS model is extended to handle the situation where the non-instant state transition features should be considered. The concepts and features of multi-state systems considering state transition process (MSS-STP) are innovatively proposed. Considering the non-instant state transition process, the traditional reliability evaluation framework for the MSSs is extended to evaluate the operating reliability of MSS-STP. The procedure of transition curve discretization is innovatively proposed to divide the dynamic transition process into a series of discrete states. The developed general MSS-TSP model is applied to the natural gas system (NGS) to demonstrate the effectiveness of the proposed reliability evaluation framework. The proposed technique can provide a useful tool for system operators to accurately evaluate the operating reliability of MSS-STP
Minglei Bao; Yi Ding; Xunhu Yin; Changzheng Shao; Chenjin Ye. Definitions and Reliability Evaluation of Multi-state Systems Considering State Transition Process and its Application for Gas Systems. Reliability Engineering & System Safety 2020, 207, 107387 .
AMA StyleMinglei Bao, Yi Ding, Xunhu Yin, Changzheng Shao, Chenjin Ye. Definitions and Reliability Evaluation of Multi-state Systems Considering State Transition Process and its Application for Gas Systems. Reliability Engineering & System Safety. 2020; 207 ():107387.
Chicago/Turabian StyleMinglei Bao; Yi Ding; Xunhu Yin; Changzheng Shao; Chenjin Ye. 2020. "Definitions and Reliability Evaluation of Multi-state Systems Considering State Transition Process and its Application for Gas Systems." Reliability Engineering & System Safety 207, no. : 107387.
The allocation of fault current limiters (FCLs) is increasingly challenging in transmission systems these days. Specifically, the utilized deterministic expected short-circuit fault (SCF) scenarios are prone to cause over-configuration of FCLs. Moreover, the well-established local switching framework (LSF) renders inappropriate FCL switching and may further harm the system safe operation. Aiming at the above deficiencies, a novel 5G-based centralized switch FCL (CSF) framework as well as a method to allocate such flexible FCLs optimally is proposed in this paper. In the proposed CSF, the FCLs are switched by a FCL dispatching (FD) model considering system security constraints of both fault current and voltage sags. By exploiting the fast communication capability of 5G network as well as an off-line fault scanning strategy, the FD model is enabled to give online FCL switching schemes to meet the fast requirement of power system protection. Moreover, considering the probabilistic characteristic of SCFs, a bi-level FCL allocation model is established, in which the upper-level model sites and sizes FCLs considering the installation and expected switching costs while the lower-level model determines the optimal switched FCLs under each specific SCF scenario. Finally, numerical results are provided to verify the proposed allocation model, including its defending effect against SCFs in terms of fault current limiting, voltage sags relieving, as well as its cost-effectiveness.
Libang Guo; Chengjin Ye; Yi Ding; Peng Wang. Allocation of Centrally Switched Fault Current Limiters Enabled by 5G in Transmission System. IEEE Transactions on Power Delivery 2020, PP, 1 -1.
AMA StyleLibang Guo, Chengjin Ye, Yi Ding, Peng Wang. Allocation of Centrally Switched Fault Current Limiters Enabled by 5G in Transmission System. IEEE Transactions on Power Delivery. 2020; PP (99):1-1.
Chicago/Turabian StyleLibang Guo; Chengjin Ye; Yi Ding; Peng Wang. 2020. "Allocation of Centrally Switched Fault Current Limiters Enabled by 5G in Transmission System." IEEE Transactions on Power Delivery PP, no. 99: 1-1.
Electricity theft decreases electricity revenues and brings risks to power usage’s safety, which has been increasingly challenging nowadays. As the mainstream in the relevant studies, the state-of-the-art data-driven approaches mainly detect electricity theft events from the perspective of the correlations between different daily or weekly loads, which is relatively inadequate to extract features from hours or more of fine-grained temporal data. In view of the above deficiencies, we propose a novel electricity theft detection scheme based on text convolutional neural networks (TextCNN). Specifically, we convert electricity consumption measurements over a horizon of interest into a two-dimensional time-series containing the intraday electricity features. Based on the data structure, the proposed method can accurately capture various periodical features of electricity consumption. Moreover, a data augmentation method is proposed to cope with the imbalance of electricity theft data. Extensive experimental results based on realistic Chinese and Irish datasets indicate that the proposed model achieves a better performance compared with other existing methods.
Xiaofeng Feng; Hengyu Hui; Ziyang Liang; Wenchong Guo; Huakun Que; Haoyang Feng; Yu Yao; Chengjin Ye; Yi Ding. A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks. Energies 2020, 13, 5758 .
AMA StyleXiaofeng Feng, Hengyu Hui, Ziyang Liang, Wenchong Guo, Huakun Que, Haoyang Feng, Yu Yao, Chengjin Ye, Yi Ding. A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks. Energies. 2020; 13 (21):5758.
Chicago/Turabian StyleXiaofeng Feng; Hengyu Hui; Ziyang Liang; Wenchong Guo; Huakun Que; Haoyang Feng; Yu Yao; Chengjin Ye; Yi Ding. 2020. "A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks." Energies 13, no. 21: 5758.
Non-Intrusive Load Monitoring (NILM) increases awareness on user energy usage patterns. In this paper, an efficient and highly accurate NILM method is proposed featuring condensed representation, super-state and fusion of two deep learning based models. Condensed representation helps the two models perform more efficiently and preserve longer-term information, while super-state helps the model to learn correlations between appliances. The first model is a deep user model that learns user appliances usage patterns to predict the next appliance usage behavior based on past behaviors by capturing the dynamics of user behaviors history and appliances usage habits. The second model is a deep appliance group model that learns the characteristics of appliances with temporal and electrical information. These two models are then fused to perform NILM. The case study based on REFIT datasets demonstrates that the proposed NILM method outperforms two state-of-the-art benchmark methods.
Ce Peng; Guoying Lin; Shaopeng Zhai; Yi Ding; Guangyu He. Non-Intrusive Load Monitoring via Deep Learning Based User Model and Appliance Group Model. Energies 2020, 13, 5629 .
AMA StyleCe Peng, Guoying Lin, Shaopeng Zhai, Yi Ding, Guangyu He. Non-Intrusive Load Monitoring via Deep Learning Based User Model and Appliance Group Model. Energies. 2020; 13 (21):5629.
Chicago/Turabian StyleCe Peng; Guoying Lin; Shaopeng Zhai; Yi Ding; Guangyu He. 2020. "Non-Intrusive Load Monitoring via Deep Learning Based User Model and Appliance Group Model." Energies 13, no. 21: 5629.
Keen interest in the development of multi-state weighted k-out-of-n systems (MSWKNS) has been currently observed. In real-life cases, considering that multiple different MSWKNS structures are provided beforehand, system designers need to select an optimal one among numbers of different structure designs. Thus, screening of the optimal MSWKNS structure is meaningful and critical. Moreover, the system reliability becomes an increasingly important factor that should be assessed in structure screening. However, when facing a large-scale MSWKNS whose number of states is enormous, exact reliability evaluation can be rather complicated. Meanwhile, due to the large number of system structure designs, the computational burden of screening can be very huge. To effectively select the optimal structure among enormous MSWKNSs under reliability constraint, an optimal structure screening method named as ordinal structure screening (OSS) is proposed. Ordinal optimization (OO) algorithm is adopted with a novel utilization of continuization discretization approximation (CDA) method. To shorten the reliability evaluation time, CDA is employed to approximate reliabilities. Based on the approximate reliabilities, OO is applied to reduce the number of system structures to be evaluated, which accelerates the screening process. Illustrative results show that the proposed method appeals in improving computational efficiency with satisfactory accuracy performance.
Yishuang Hu; Yu Lin; Yi Ding; Xingying Chen; Zhiguo Zeng. Screening of optimal structure among large-scale multi-state weighted k-out-of-n systems considering reliability evaluation. Reliability Engineering & System Safety 2020, 206, 107268 .
AMA StyleYishuang Hu, Yu Lin, Yi Ding, Xingying Chen, Zhiguo Zeng. Screening of optimal structure among large-scale multi-state weighted k-out-of-n systems considering reliability evaluation. Reliability Engineering & System Safety. 2020; 206 ():107268.
Chicago/Turabian StyleYishuang Hu; Yu Lin; Yi Ding; Xingying Chen; Zhiguo Zeng. 2020. "Screening of optimal structure among large-scale multi-state weighted k-out-of-n systems considering reliability evaluation." Reliability Engineering & System Safety 206, no. : 107268.
Nowadays, integrated electricity and natural gas system (IENGS) stands as one of the most discussed topics among industry and academic sectors. The interdependency issues of electricity and natural gas may limit the operational flexibility of the IENGS and consequently prevent wind power integration. This article aims to solve the problem by incorporating the demand-side flexibility of energy hubs (EHs) into the scheduling of the IENGS. To fully exploit the demand-side flexibility, the detailed integrated demand response (IDR) model is developed for the EHs. Unlike the traditional demand response programs in which only elastic electricity demand is considered, both electricity demand and natural gas demand are considered flexible and controllable in the IDR. Moreover, the IDR is modeled as an optimization problem rather than a price-responsive load bid. The interactions between the EHs’ IDR model and the IENGS's scheduling model are achieved based on the two-level optimization framework. Then, the IDR-embedded scheduling of the IENGS is formulated as a complicated two-level mixed integer nonlinear programming (TL-MINLP) problem. A technique is proposed to solve the TL-MINLP problem efficiently to enable the IDR-embedded scheduling model to be used in engineering practice. Case study illustrates the benefits of the proposed IDR-embedded scheduling method.
Changzheng Shao; Yi Ding; Pierluigi Siano; Yonghua Song. Optimal Scheduling of the Integrated Electricity and Natural Gas Systems Considering the Integrated Demand Response of Energy Hubs. IEEE Systems Journal 2020, 15, 4545 -4553.
AMA StyleChangzheng Shao, Yi Ding, Pierluigi Siano, Yonghua Song. Optimal Scheduling of the Integrated Electricity and Natural Gas Systems Considering the Integrated Demand Response of Energy Hubs. IEEE Systems Journal. 2020; 15 (3):4545-4553.
Chicago/Turabian StyleChangzheng Shao; Yi Ding; Pierluigi Siano; Yonghua Song. 2020. "Optimal Scheduling of the Integrated Electricity and Natural Gas Systems Considering the Integrated Demand Response of Energy Hubs." IEEE Systems Journal 15, no. 3: 4545-4553.
The accidental outages of generating units are increasing in power systems, which can bring huge power shortage suddenly and lead to severe system oscillations. The secure operation of power systems sometimes cannot be guaranteed only by regulating traditional generating units, due to the rapid regulation requirement of making up for power shortage. To address this issue, this paper proposes using emergency demand response (DR) to provide contingency reserve capacities by adjusting the power consumption of flexible loads (FLs). Firstly, in order to analyze the dynamic regulation process of power systems in accidental outages, the power system model in faulty condition is reconstructed to obtain the regulation power from well-running generators. On this basis, FLs are modelled and integrated into the novel reconstructed power system model to be as an alternative method of making up for the fast regulation capacities. Considering that the inevitable communication time-delay probably leads to the slowdown of response speed and endangers the system security, an adaptive time-delay control (ATDC) scheme is proposed and integrated into the control process of aggregated FLs. In this manner, the regulation speed of FLs can be accelerated, the control precision of response capacities can be improved, and the power system frequency deviations caused by time-delay can be decreased. Finally, the proposed models and methods are verified by numerical studies. The results in the test system show that the frequency deviations can be decreased effectively from −0.3276 Hz to −0.1337 Hz in accidental outages by using the ATDC scheme of FLs.
Hongxun Hui; Yi Ding; Yonghua Song. Adaptive time-delay control of flexible loads in power systems facing accidental outages. Applied Energy 2020, 275, 115321 .
AMA StyleHongxun Hui, Yi Ding, Yonghua Song. Adaptive time-delay control of flexible loads in power systems facing accidental outages. Applied Energy. 2020; 275 ():115321.
Chicago/Turabian StyleHongxun Hui; Yi Ding; Yonghua Song. 2020. "Adaptive time-delay control of flexible loads in power systems facing accidental outages." Applied Energy 275, no. : 115321.
The rapid development of advanced information technologies, for example, the Internet of Things and Big Data techniques, has made the energy internet achieve a deep integration of physical systems and cyber systems and realize an effective combination of energy flow and information flow among various networks. However, with increasing automation of the energy internet, the scale of physical networks, the size of cyber networks and the numbers of smart sensors and decision-making units have greatly increased, resulting in complex external or internal factors directly or indirectly impacting the control and decisions of networks through various approaches. The interaction mechanisms between cyber networks and physical networks are becoming increasingly complex in the energy internet, resulting in the security and reliability analysis of cyber-physical systems becoming more complicated. In this chapter, the security of components in cyber-physical systems is first introduced. Multiple uncertainties in cyber-physical system operation are also developed, including different types of cyber attacks and corresponding mitigation strategies as well as the volatility of energy sources and stochastic energy consumption. Moreover, the correlation and cascading failures in cyber-physical systems are analysed to demonstrate the coupling between cyber systems and physical systems. Furthermore, challenges in the security of cyber-physical systems are provided. This chapter mainly analyses cyber-physical system security in the energy internet considering various uncertainties, which can provide technical support for the planning and operation of the energy internet.
Heping Jia; Yi Ding; Yishuang Hu; Yonghua Song. Cyber-Physical System Security. Energy Internet 2020, 107 -119.
AMA StyleHeping Jia, Yi Ding, Yishuang Hu, Yonghua Song. Cyber-Physical System Security. Energy Internet. 2020; ():107-119.
Chicago/Turabian StyleHeping Jia; Yi Ding; Yishuang Hu; Yonghua Song. 2020. "Cyber-Physical System Security." Energy Internet , no. : 107-119.
With the growing frequency and extent of extreme weather events, the resilient operation of multi-energy systems (MESs) has drawn attention nowadays. However, there is little study on the methodology with a set of key indicators to quantify the resilience of MESs with the consideration of the impacts of extreme weather. To address the problem, this paper proposes a framework to evaluate the time-dependent resilience of MESs considering energy interactions during extreme weather events, such as windstorms. Firstly, the multi-phase performance curve is utilized to describe the response behavior of MESs at different phases under the impacts of windstorms. Secondly, a service-based optimal energy flow model is developed to minimize the consequences caused by windstorms through the coordination among different energy subsystems. In order to model the chaotic failures and restoration of components, the Monte-Carlo simulation technique is applied. Furthermore, nodal resilience metrics for different energy carriers are proposed to quantify the resilience in MESs. Numerical studies demonstrate the capability of the proposed technique to quantify the resilience of MESs under windstorms. The results show that the resilience performance level of MESs can differ in different regions with the impacts of windstorms. The findings can provide a useful reference for system operators to constitute targeted resilience improvement measures.
Minglei Bao; Yi Ding; Maosheng Sang; Daqing Li; Changzheng Shao; Jinyue Yan. Modeling and evaluating nodal resilience of multi-energy systems under windstorms. Applied Energy 2020, 270, 115136 .
AMA StyleMinglei Bao, Yi Ding, Maosheng Sang, Daqing Li, Changzheng Shao, Jinyue Yan. Modeling and evaluating nodal resilience of multi-energy systems under windstorms. Applied Energy. 2020; 270 ():115136.
Chicago/Turabian StyleMinglei Bao; Yi Ding; Maosheng Sang; Daqing Li; Changzheng Shao; Jinyue Yan. 2020. "Modeling and evaluating nodal resilience of multi-energy systems under windstorms." Applied Energy 270, no. : 115136.
The ever-increasing utilization of natural gas has strengthened the interdependence between power system and natural gas system (NGS). Due to the bidirectional interactions between the two systems, the disturbances in one system may spread to the other one, triggering a disruptive avalanche of subsequent failures. When considering the cascading effects, the failure of a very small fraction of components can lead to catastrophic outages in the interdependent gas and power systems (IGPSs). This paper proposes an approach for the reliability evaluation of IGPSs considering the interdependence-induced cascading effects. Firstly, a dynamic cascaded analysis model is developed to describe the temporal and spatial process of cascading effects considering different dynamic behaviors between power system and NGS. By taking the gas velocity and line pack into consideration, the re-dispatch model of NGS is set up to characterize the dynamic variation of gas pressures and flow rates between two time periods. Then, the framework for the reliability evaluation of IGPSs considering cascading effects is proposed by combining the dynamic cascaded analysis model and Monte Carlo simulation (MCS) techniques. Furthermore, nodal reliability indices for both NGS and power system are proposed to quantify the impacts of cascading effects on the re-liabilities of IGPSs. The proposed methods are validated using an integrated gas and power testing system.
Minglei Bao; Yi Ding; Changzheng Shao; Yang Yang; Peng Wang. Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects. IEEE Transactions on Smart Grid 2020, 11, 4090 -4104.
AMA StyleMinglei Bao, Yi Ding, Changzheng Shao, Yang Yang, Peng Wang. Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects. IEEE Transactions on Smart Grid. 2020; 11 (5):4090-4104.
Chicago/Turabian StyleMinglei Bao; Yi Ding; Changzheng Shao; Yang Yang; Peng Wang. 2020. "Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects." IEEE Transactions on Smart Grid 11, no. 5: 4090-4104.
Many engineering systems are designed to complete two tasks simultaneously and therefore need to consider two interdependent performance measures. For example, a combined heat and power (CHP) system requires two interdependent performance variables of heat power and electric power to measure its reliability. The operation of such a two-interdependent-performance multi-state system (TIP-MSS) is usually constrained by a two-dimension feasible operating region (FOR) specific to the state. Hence, the performance rate of the TIP-MSS system in each state should be represented by the upper boundary of the FOR corresponding to the concept of “capacity” in the single-performance MSS model. Considering the interdependence between the performance variables, the concept and definitions of the TIP-MSS are proposed. An object, i.e., the performance trade-off curve, is utilized to represent the performance rates. The universal generating function (UGF) method is extended to represent the performance distribution of a TIP-MSS. Moreover, different composition operators are defined for analyzing the reliability of TIP-MSS with parallel/series structures. The availability criterion based on the TIP-UGF method is also proposed. Finally, the proposed models and methods are illustrated by two numerical examples.
Changzheng Shao; Yi Ding. Two-interdependent-performance multi-state system: Definitions and reliability evaluation. Reliability Engineering & System Safety 2020, 199, 106883 .
AMA StyleChangzheng Shao, Yi Ding. Two-interdependent-performance multi-state system: Definitions and reliability evaluation. Reliability Engineering & System Safety. 2020; 199 ():106883.
Chicago/Turabian StyleChangzheng Shao; Yi Ding. 2020. "Two-interdependent-performance multi-state system: Definitions and reliability evaluation." Reliability Engineering & System Safety 199, no. : 106883.