Query：
学者姓名：别朝红
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
Abstract ：
Successive failure propagating through a power system, typically caused by extreme weather such as storm and lightning, can cause blackouts by means of a variety of processes. To address this issue, this paper proposes preventive control for successive failures of power system to mitigate the consequences of successive failures in extreme weather. First, based on the Poisson process theory, the authors model the successive failure propagation, and present the confidence interval estimation for the time interval between successive failures. Then, a failure pre-control methodology that quantifies the grid regulating ability and actions is developed to make decisions for system operators on mitigating overloads of transmission lines. Furthermore, a systematic pre-control framework for successive failures is first proposed to detect latent risks, eliminate predictable consequential outages, and secure power system stability. Results from IEEE-9 bus and IEEE-39 bus standard systems as well as a real-world system show the feasibility and effectiveness of the proposed method. The proposed preventive control framework can provide a systematic pre-control action scheme for system operators, and realize enhancement of stability and resilience to power system failures.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Zhenyu , Cui, Wei , Niu, Shuanbao et al. Preventive control of successive failures in extreme weather for power system resilience enhancement [J]. | IET GENERATION TRANSMISSION & DISTRIBUTION , 2022 , 16 (16) : 3245-3255 . |
| MLA | Zhang, Zhenyu et al. "Preventive control of successive failures in extreme weather for power system resilience enhancement" . | IET GENERATION TRANSMISSION & DISTRIBUTION 16 . 16 (2022) : 3245-3255 . |
| APA | Zhang, Zhenyu , Cui, Wei , Niu, Shuanbao , Wang, Cong , Xue, Chen , Ma, Xiaowei et al. Preventive control of successive failures in extreme weather for power system resilience enhancement . | IET GENERATION TRANSMISSION & DISTRIBUTION , 2022 , 16 (16) , 3245-3255 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Rapid growth of gas-fired generators strengthens the interdependency of electricity and natural gas markets. To meet the uncertainty challenge, a robust day-ahead market clearing framework for the integrated electricity and natural gas system (IEGS) is presented. First, a robust security-constrained unit commitment (SCUC) model is built considering the joint dispatch of ancillary services. Regulation-up/down reserve is scheduled to balance electrical load/wind power uncertainties, spinning reserve is to manage N-1 generator outage, and natural gas reserve is to withstand gas load uncertainty and provide fuel for gas-fired electrical reserve. The SCUC model is a two-stage mixed-integer nonlinear optimization problem so that a sequential linear approximation-based Column & Constraint Generation (SLA-based C&CG) algorithm is proposed. Then, according to SCUC solutions, an economic dispatch model is derived to obtain market clearing and pricing results. Based on locational marginal pricing, novel definitions of electrical energy, natural gas and multiple ancillary service prices are proposed, which can reflect network limits and uncertainty effects. Numerical cases on two test IEGSs and a provincial-level IEGS demonstrate the high accuracy of proposed SLA-based C&CG algorithm and the impact of uncertainties on market clearing.
Keyword ：
Fuels Generators Integrated electricity and natural gas system joint energy-reserve market load Load modeling locational marginal pricing N-1 outage Natural gas Pipelines Pricing robust unit commitment Uncertainty wind power uncertainties
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Fan , Wang, Xu , Xiao, Yao et al. Robust Pricing of Energy and Ancillary Services in Combined Electricity and Natural Gas Markets [J]. | IEEE TRANSACTIONS ON POWER SYSTEMS , 2022 , 37 (1) : 603-616 . |
| MLA | Liu, Fan et al. "Robust Pricing of Energy and Ancillary Services in Combined Electricity and Natural Gas Markets" . | IEEE TRANSACTIONS ON POWER SYSTEMS 37 . 1 (2022) : 603-616 . |
| APA | Liu, Fan , Wang, Xu , Xiao, Yao , Bie, Zhaohong . Robust Pricing of Energy and Ancillary Services in Combined Electricity and Natural Gas Markets . | IEEE TRANSACTIONS ON POWER SYSTEMS , 2022 , 37 (1) , 603-616 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Hydrogen has shown great potential in the renewable power integration and urban mobility decarbonization like hydrogen fuel cell vehicles (HFCVs). The HFCV refueling as an essential hydrogen load is of great flexibility. Considering the HFCV demand response (DR), this article studies the integrated electric power and hydrogen system (IPHS) operation. First, the HFCV refueling load model is formulated with its routing on the transportation network considered. Second, the optimal IPHS operation model is developed in which the electric power operation, tube-trailer based hydrogen delivery and HFCV refueling are coordinated. Third, a Lagrangian relaxation based method is developed to solve the proposed model efficiently, which corresponds to a price-based DR mechanism for HFCVs. Compared with existing works on IPHS, the influence of transportation networks is delicately analyzed on both HFCV refueling and hydrogen delivery. The case studies have proven the effectiveness of the proposed method and demonstrated that the overall operation cost is decreased via the proper guidance of HFCV refueling. The HFCV DR shows great potential in exploring the synergy of energy and transportation systems.
Keyword ：
Demand response (DR) Hydrogen hydrogen fuel cell vehicles (HFCVs) integrated electric power and hydrogen system (IPHS) Lagrangian relaxation (LR) method Load management Load modeling Power systems Roads Routing Vehicles
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Dong, Wenjing , Shao, Chengcheng , Feng, Chenjia et al. Cooperative Operation of Power and Hydrogen Energy Systems With HFCV Demand Response [J]. | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS , 2022 , 58 (2) : 2630-2639 . |
| MLA | Dong, Wenjing et al. "Cooperative Operation of Power and Hydrogen Energy Systems With HFCV Demand Response" . | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 58 . 2 (2022) : 2630-2639 . |
| APA | Dong, Wenjing , Shao, Chengcheng , Feng, Chenjia , Zhou, Qian , Bie, Zhaohong , Wang, Xifan . Cooperative Operation of Power and Hydrogen Energy Systems With HFCV Demand Response . | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS , 2022 , 58 (2) , 2630-2639 . |
| Export to | NoteExpress RIS BibTex |
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 ：
All-scenario-feasible Stochastic bi-level problem Strategic bids and offers Virtual energy storage
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
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.
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
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 ：
Alternating direction method of multipliers algorithm distributed optimization railway energy management system (R-EMS) station thermal system traction grid (TG)
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
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 ：
Embedded systems Microgrids Optimization Remote control Restoration
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
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 ：
Data privacy Electric automobiles Monte Carlo methods Multi agent systems Plug-in electric vehicles Reliability
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
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 ：
Commerce Electric power system control Electric power transmission networks Lakes Renewable energy resources
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
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 ：
Disasters Energy policy Gases Optimization
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
