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Optimal bid-offer strategy for a virtual energy storage merchant: A stochastic bi-level model with all-scenario feasibility EI SCIE
期刊论文 | 2021 , 299 | APPLIED ENERGY
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Abstract :

Increased penetration of renewable resources emphasizes opportunities for virtual energy storage (VES) to offer the needed flexibility to the power system. The VES, quite common in China, is in fact the large electricity industrial consumers with a thermal source of electricity generation that allows them to self-supply. The emerging VES concept breaks through the traditional self-supply off-grid status and enables them to interact with the grid as storage facilities by modulating their power source and load in bi-direction. Within this context, this paper analyzes the implications of the strategic participation of a price-making VES with the ability to exercise market power in the electricity market. We develop a stochastic bi-level optimization model, which presents the VES profit-maximization problem, subject to a day-ahead energy clearing optimization under renewable uncertainty. An all-scenario-feasible stochastic (ASFS) method is applied for the first time to the bid-offer problem to deal with the uncertainty, guaranteeing the feasibility of decision making for all scenarios. The proposed stochastic decision-making model is evaluated by using two illustrative test systems and a practical case based on Gansu Province, China. Numerical results reveal the various abilities of the VES merchant in different operating modes in manipulating the market power and gaining profits from price arbitrage under uncertainty. Our proposed model and approach provide an insight for the market operator to track the behaviors of the VES into the market clearing process and to evaluate the portfolio value of VES in spatio-temporal coordination of electricity production.

Keyword :

Virtual energy storage All-scenario-feasible Strategic bids and offers Stochastic bi-level problem

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GB/T 7714 Liu, Shiyu , Ren, Yanzhe , Zhang, Zhenyu et al. Optimal bid-offer strategy for a virtual energy storage merchant: A stochastic bi-level model with all-scenario feasibility [J]. | APPLIED ENERGY , 2021 , 299 .
MLA Liu, Shiyu et al. "Optimal bid-offer strategy for a virtual energy storage merchant: A stochastic bi-level model with all-scenario feasibility" . | APPLIED ENERGY 299 (2021) .
APA Liu, Shiyu , Ren, Yanzhe , Zhang, Zhenyu , Xiao, Yao , Bie, Zhaohong , Wang, Xifan . Optimal bid-offer strategy for a virtual energy storage merchant: A stochastic bi-level model with all-scenario feasibility . | APPLIED ENERGY , 2021 , 299 .
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Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems EI SCIE
期刊论文 | 2021 , 15 (12) , 1884-1896 | IET GENERATION TRANSMISSION & DISTRIBUTION
WoS CC Cited Count: 1
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Abstract :

Composed of multiple integrated energy systems (IESs) belonging to different stakeholders, multi-agent IESs (MA-IESs) are widely concerned because of data privacy protect. As the basis of planning design and reliability evaluation for MA-IESs, distributed energy resource coordination (DERC) problem is studied in this paper. First, a DERC model for MA-IESs is established, which considers energy conversion process specifically. Meanwhile, a novel distributed accelerated descent (DAD) algorithm is proposed to realize fully distributed solving. Different from most of the existing researches that investigate the DERC with box constraints, the presented algorithm is able to solve the DERC with general convex constraints. Moreover, the backward operators in the method improve the convergence rate to the best of distributed first-order optimization algorithm with fixed step size, O(1/T). Furthermore, the presented approach is initialization robustness when the load fluctuations suddenly happened in MA-IESs. The convergence property, computing, and communication complexity are strictly proved. Finally, the effectiveness of DERC model and DAD algorithm are demonstrated by some modified case studies.

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GB/T 7714 Kou, Yu , Wang, Yinghui , Bie, Zhaohong et al. Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems [J]. | IET GENERATION TRANSMISSION & DISTRIBUTION , 2021 , 15 (12) : 1884-1896 .
MLA Kou, Yu et al. "Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems" . | IET GENERATION TRANSMISSION & DISTRIBUTION 15 . 12 (2021) : 1884-1896 .
APA Kou, Yu , Wang, Yinghui , Bie, Zhaohong , Wang, Xu , Ding, Tao . Distributed accelerated descent algorithm for energy resource coordination in multi-agent integrated energy systems . | IET GENERATION TRANSMISSION & DISTRIBUTION , 2021 , 15 (12) , 1884-1896 .
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Resilience-Enhanced Optimal Placement Model of Remote-controlled Switch for Smart Distribution Network EI
期刊论文 | 2021 , 45 (3) , 33-39 | Automation of Electric Power Systems
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Abstract :

The deep fusion of cyber-physical system provides technical support for the dynamic and remote control of the distribution network. After extreme events attack the distribution network, remote-controlled switches (RCS) can isolate the faults, reduce the scope of the fault areas, and participate in the network reconfiguration to restore loads. The robust optimal model placement of RCS is proposed. The placement of RCS is completed in the planning stage to minimize the loss of load curtailment of the distribution network after extreme events. Based on the defender-attacker-defender (DAD) framework, the planner determines the plan of the placement of RCS at the first level. According to the system after planning, the attacker looks for the most serious mode of attacks at the second level. At the third level, the operator considers the impact of N-K multiple fault propagation, isolates fault through RCS and reconfigures the network to form microgrids powered by distributed generators (DG) to restore load. The three levels interact with each other to improve the load restoration effect of the distribution network in the most serious mode of attacks. The column-and-constraint generation algorithm is used to solve the model. The validity of the model is verified by the modified IEEE 37-bus system. © 2021 Automation of Electric Power Systems Press.

Keyword :

Optimization Restoration Microgrids Embedded systems Remote control

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GB/T 7714 Bian, Yiheng , Bie, Zhaohong . Resilience-Enhanced Optimal Placement Model of Remote-controlled Switch for Smart Distribution Network [J]. | Automation of Electric Power Systems , 2021 , 45 (3) : 33-39 .
MLA Bian, Yiheng et al. "Resilience-Enhanced Optimal Placement Model of Remote-controlled Switch for Smart Distribution Network" . | Automation of Electric Power Systems 45 . 3 (2021) : 33-39 .
APA Bian, Yiheng , Bie, Zhaohong . Resilience-Enhanced Optimal Placement Model of Remote-controlled Switch for Smart Distribution Network . | Automation of Electric Power Systems , 2021 , 45 (3) , 33-39 .
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Distributed Energy Management of Integrated Electricity-thermal Systems for High-speed Railway Traction Grids and Stations EI SCIE CSCD
期刊论文 | 2021 , 7 (3) , 541-554 | CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
WoS CC Cited Count: 2
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Abstract :

This paper proposes an integrated electricity-thermal energy management system (EMS) for high-speed railways. First, an operational model is built for the integrated electricity-thermal system, including a train operation EMS (TO-EMS) model and station operation EMS (SO-EMS) model. In the TO-EMS model, traction grids (TGs) are formulated with a solvable second-order cone programming problem. In the SO-EMS model, station indoor thermal systems are taken into account, and the building heat exchange process and solar radiation influence upon station indoor temperature are also included. Then the TO-EMS and the SO-EMS are coordinated with an alternating direction method of the multipliers-based (ADMM-based) algorithm, protecting the privacy and interests both for the train dispatch center and stations. To demonstrate the effectiveness of the proposed railway EMS, a modified realistic high-speed railway segment with six stations in North China with summer and winter scenarios is studied.

Keyword :

railway energy management system (R-EMS) Alternating direction method of multipliers algorithm traction grid (TG) distributed optimization station thermal system

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GB/T 7714 Jiang, Lizhou , Bie, Zhaohong , Long, Tao et al. Distributed Energy Management of Integrated Electricity-thermal Systems for High-speed Railway Traction Grids and Stations [J]. | CSEE JOURNAL OF POWER AND ENERGY SYSTEMS , 2021 , 7 (3) : 541-554 .
MLA Jiang, Lizhou et al. "Distributed Energy Management of Integrated Electricity-thermal Systems for High-speed Railway Traction Grids and Stations" . | CSEE JOURNAL OF POWER AND ENERGY SYSTEMS 7 . 3 (2021) : 541-554 .
APA Jiang, Lizhou , Bie, Zhaohong , Long, Tao , Xie, Haipeng , Xiao, Yao . Distributed Energy Management of Integrated Electricity-thermal Systems for High-speed Railway Traction Grids and Stations . | CSEE JOURNAL OF POWER AND ENERGY SYSTEMS , 2021 , 7 (3) , 541-554 .
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A Reliability Model for Integrated Energy System Considering Multi-energy Correlation EI SCIE CSCD
期刊论文 | 2021 , 9 (4) , 811-825 | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
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Abstract :

An integrated energy system (IES) is a regional energy system incorporating distributed multi-energy systems to serve various energy demands such as electricity, heating, cooling, and gas. The reliability analysis plays a key role in guaranteeing the safety and adequacy of an IES. This paper aims to build a capacity reliability model of an IES. The multi-energy correlation in the IES can generate the dependent capacity outage states, which is the distinguished reliability feature of an IES from a generation system. To address this issue, this paper presents a novel analytical method to model the dependent multi-energy capacity outage states and their joint outage probabilities of an IES for its reliability assessment. To model the dependent multi-energy capacity outage states, a new multi-dimen-sional matrix method is presented in the capacity outage probability table (COPT) model of the generation system. Furthermore., a customized multi-dimensional discrete convolution algorithm is proposed to compute the reliability model, and the adequacy indices are calculated in an accurate and efficient way. Case studies demonstrate the correctness and efficiency of the proposed method. The capacity value of multi-energy conversion facilities is also quantified by the proposed method.

Keyword :

reliability model Cogeneration Heating systems Convolution Computational modeling integrated energy system (IES) Load modeling multi-dimensional discrete convolution Capacity outage probability table (COPT) Capacity planning Reliability

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GB/T 7714 Yan, Chao , Bie, Zhaohong , Liu, Shiyu et al. A Reliability Model for Integrated Energy System Considering Multi-energy Correlation [J]. | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY , 2021 , 9 (4) : 811-825 .
MLA Yan, Chao et al. "A Reliability Model for Integrated Energy System Considering Multi-energy Correlation" . | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY 9 . 4 (2021) : 811-825 .
APA Yan, Chao , Bie, Zhaohong , Liu, Shiyu , Urgun, Dogan , Singh, Chanan , Xie, Le . A Reliability Model for Integrated Energy System Considering Multi-energy Correlation . | JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY , 2021 , 9 (4) , 811-825 .
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Optimal Placement for Integrated Electricity and Gas Energy System Considering Natural Disasters and Man-made Attacks EI
期刊论文 | 2021 , 45 (3) , 959-969 | Power System Technology
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Abstract :

Integrated electricity and gas energy systems, the typical integrated energy systems(IES), are capable of handling the environmental concerns and the energy crises. However, the extreme events happening more and more frequently have brought challenges to the IES development. The traditional resilience researches focus mostly on the impacts of the natural disasters on the power systems and seldom consider the situations when the malicious man-made attacks and natural disasters happen simultaneously. The traditional researches on optimal placement are mainly based on the operating economy during a long period, but with little concern about the resilience of the placement. In order to improve the resilience of integrated energy systems in extreme events, this paper proposes a gas turbines and gas storages optimal placement method in the integrated electricity and natural gas energy system considering both the natural disasters and the man-made attacks. After the natural disaster scenarios are generated, a random defender-attacker-defender model is built. The improved nested column constraint generation algorithm (NCCG) and the progressive hedging algorithm (PHA) are adopted to solve the model. With the minimax-regret criterion, the optimal placement scheme is determined. Finally, the effectiveness of the presented method is demonstrated, and the system resilience level in different scenarios is analyzed. © 2021, Power System Technology Press. All right reserved.

Keyword :

Energy policy Disasters Optimization Gases

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GB/T 7714 Huang, Gechao , Li, Gengfeng , Xiao, Yao et al. Optimal Placement for Integrated Electricity and Gas Energy System Considering Natural Disasters and Man-made Attacks [J]. | Power System Technology , 2021 , 45 (3) : 959-969 .
MLA Huang, Gechao et al. "Optimal Placement for Integrated Electricity and Gas Energy System Considering Natural Disasters and Man-made Attacks" . | Power System Technology 45 . 3 (2021) : 959-969 .
APA Huang, Gechao , Li, Gengfeng , Xiao, Yao , Bie, Zhaohong , Sun, Siyuan . Optimal Placement for Integrated Electricity and Gas Energy System Considering Natural Disasters and Man-made Attacks . | Power System Technology , 2021 , 45 (3) , 959-969 .
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Co-optimization planning of integrated electricity and district heating systems based on improved quadratic convex relaxation EI SCIE
期刊论文 | 2021 , 285 | Applied Energy
WoS CC Cited Count: 4
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Abstract :

The rapid growth of combined heat and power (CHP) units has led to the development of integrated electricity and district heating systems (IEHS). To support the design of a highly efficient energy supply system, this paper proposes a long-term co-optimization planning model for an IEHS. Not only CHP units, non-CHP thermal generators, wind farms and electric boilers but also transmission lines and heat pipelines are considered as investment candidates to meet electricity and heat demands. Nonlinear hydraulic conditions and thermal conditions are adopted to precisely capture the characteristics of the heating system. To make the planning model tractable, the nonlinear hydraulic conditions are approximated through piecewise linearization. Based on the introduction of auxiliary variables, the nonconvex thermal conditions are reformulated into linear constraints through quadratic convex relaxation. Hence, the planning model is converted into a large-scale mixed integer linear programming (MILP) problem. Since the planning model is formulated based on independent load blocks, a parallel Benders decomposition algorithm combined with the sequential bound-tightening procedure is proposed to efficiently obtain high-quality solutions. Numerical cases are studied based on two IEHSs of different scales to validate the effectiveness of the proposed co-optimization planning model and the feasibility of the proposed solution methods for solving this complicated planning model for an IEHS. © 2021 Elsevier Ltd

Keyword :

Integer programming Investments Zoning Wind power Relaxation processes Numerical methods District heating Electric lines Heating equipment

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GB/T 7714 Wang, Xu , Bie, Zhaohong , Liu, Fan et al. Co-optimization planning of integrated electricity and district heating systems based on improved quadratic convex relaxation [J]. | Applied Energy , 2021 , 285 .
MLA Wang, Xu et al. "Co-optimization planning of integrated electricity and district heating systems based on improved quadratic convex relaxation" . | Applied Energy 285 (2021) .
APA Wang, Xu , Bie, Zhaohong , Liu, Fan , Kou, Yu . Co-optimization planning of integrated electricity and district heating systems based on improved quadratic convex relaxation . | Applied Energy , 2021 , 285 .
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Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling EI SCIE
期刊论文 | 2021 , 208 | Reliability Engineering and System Safety
WoS CC Cited Count: 1
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Abstract :

The supply reliability is a vital concern in the planning of integrated power-gas systems (IPGS). Previous reliability evaluation approaches of IPGS bring massive computational burdens due to the complex consequence (status) analysis model and numerous status samples in Monte Carlo simulation (MCS). In this paper, a systematic assessment approach is proposed to evaluate the supply reliability of IPGS rapidly. Firstly, a novel optimal load shedding model of IPGS is presented based on the stochastic capacity network model of gas system and the power flow model, which reduces the computational complexity of consequence analysis. Then, a tailor-made importance sampling (IS) method based on cross-entropy is proposed for IPGS to improve the efficiency of MCS. Through evaluating the criticality of training samples, the IS method accordingly alters the unavailability parameters of electricity and gas components, so that crucial risk events of IPGS are sampled more frequently in MCS. Furthermore, reliability indices of IPGS are developed in three hierarchies: system reliability, customer availability and component importance, which provide comprehensive references for system planners. Finally, numerical simulations are performed on two IPGS cases and the results validate the proposed approach significantly improves the computational efficiency of supply reliability evaluation for IPGS. © 2021

Keyword :

Importance sampling Computational efficiency Stochastic models Reliability analysis Monte Carlo methods Efficiency Electric load flow Stochastic systems Complex networks Electric load shedding

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GB/T 7714 Wang, Can , Xie, Haipeng , Bie, Zhaohong et al. Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling [J]. | Reliability Engineering and System Safety , 2021 , 208 .
MLA Wang, Can et al. "Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling" . | Reliability Engineering and System Safety 208 (2021) .
APA Wang, Can , Xie, Haipeng , Bie, Zhaohong , Li, Gengfeng , Yan, Chao . Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling . | Reliability Engineering and System Safety , 2021 , 208 .
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Practice and Experience of Trading Mechanism for Energy Pool of Renewable Energy Accommodation EI
期刊论文 | 2021 , 45 (7) , 163-169 | Automation of Electric Power Systems
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Abstract :

In recent years, with the continuous promotion of clean and low-carbon energy strategy, the installed capacity of renewable energy is growing rapidly, and the proportion of renewable energy generation in the system keeps increasing. The high permeability, the randomness and volatility of renewable energy put forward higher requirements for the regulation and carrying capacity of the system. On the basis of in-depth analysis of the characteristics of renewable energy generation, this paper explores the complementary potential of the power grid, and proposes the trading mechanism of the energy pool for renewable energy. First, the trading model of the energy pool for renewable energy is established; the constraint conditions are set; and the trading declaration and clearing methods are given. Then, the price mechanism considering the flexible price and the value system of the energy pool is explored. The settlement method of the energy pool is given. Finally, based on the practice of renewable energy accommodation in Northwest Power Grid of China, various kinds of trading practices are innovated and carried out, such as the replacement of the energy pool in the main control area, the energy pool in Xinjiang Autonomous Region, and the peak shaving and replacement of the energy pool between Shaanxi and Qinghai Provinces, China. The actual data shows that the energy pool mechanism fully demonstrates the value of system regulation; it can mobilize the flexible adjustment ability of the system to stabilize the fluctuation of renewable energy, and significantly improve the level of renewable energy accommodation. © 2021 Automation of Electric Power Systems Press.

Keyword :

Electric power transmission networks Lakes Electric power system control Renewable energy resources Commerce

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GB/T 7714 He, Yuankang , Ding, Tao , Liu, Ruifeng et al. Practice and Experience of Trading Mechanism for Energy Pool of Renewable Energy Accommodation [J]. | Automation of Electric Power Systems , 2021 , 45 (7) : 163-169 .
MLA He, Yuankang et al. "Practice and Experience of Trading Mechanism for Energy Pool of Renewable Energy Accommodation" . | Automation of Electric Power Systems 45 . 7 (2021) : 163-169 .
APA He, Yuankang , Ding, Tao , Liu, Ruifeng , Qu, Ming , Chen, Tianen , Bie, Zhaohong . Practice and Experience of Trading Mechanism for Energy Pool of Renewable Energy Accommodation . | Automation of Electric Power Systems , 2021 , 45 (7) , 163-169 .
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Reliability evaluation of multi-agent integrated energy systems with fully distributed communication EI SCIE
期刊论文 | 2021 , 224 | Energy
WoS CC Cited Count: 1
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The reliability evaluation of integrEated energy systems becomes very important, because it is the basis of planning and operation. However, different stakeholders in integrated energy systems bring difficulty to evaluation process due to data privacy protect. In this paper, a reliability evaluation approach for multi-agent integrated energy systems via fully distributed communication is presented. Firstly, a reliability evaluation model of multi-agent integrated energy systems is established, where wind turbines, plug-in electric vehicles and gas storages are considered in the structure. Moreover, a re-dispatching model with voltage and gas pressure constraints is presented to minimize operation cost, when a contingent incident happens. Through second-order cone and Big M relaxation, the re-dispatching model is reformulated to a solvable one. Furthermore, a state assessment method with fully distributed communication is proposed to reduce information exchange, which is presented based on Monte Carlo simulation and alternating direction method of multipliers with Gaussian back substitution. Reliability indices of each agent and whole system can be calculated via a little non-privacy message transferring. Finally, the proposed model and approach are tested on a modified MA-IES. The relevant failure among different sub-systems is analyzed and the effectiveness of fully distributed communication is validated. © 2021 Elsevier Ltd

Keyword :

Electric automobiles Multi agent systems Data privacy Plug-in electric vehicles Monte Carlo methods Reliability

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GB/T 7714 Kou, Yu , Bie, Zhaohong , Li, Gengfeng et al. Reliability evaluation of multi-agent integrated energy systems with fully distributed communication [J]. | Energy , 2021 , 224 .
MLA Kou, Yu et al. "Reliability evaluation of multi-agent integrated energy systems with fully distributed communication" . | Energy 224 (2021) .
APA Kou, Yu , Bie, Zhaohong , Li, Gengfeng , Liu, Fan , Jiang, Jiangfeng . Reliability evaluation of multi-agent integrated energy systems with fully distributed communication . | Energy , 2021 , 224 .
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