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Annual Conference of the IEEE Industrial Electronics Society

作者： Gen Li Jun Liang Lu Zhang Gangui Yan Tibin Joseph School of Engineering Cardiff University Cardiff United Kingdom College of Information and Electrical Engineering China Agricultural University Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

One of the most significant obstacles preventing the large-scale application of direct-current (DC) technology in medium voltage (MV) distribution networks is their fault protection. The existing AC relay protection needs to be changed or redesigned to protect the future overlay MVAC and MVDC distribution networks. Therefore, a comprehensive understanding of the dynamic and fault behavior and post-fault restoration strategies of MVAC and MVDC systems are critically important. Moreover, a comparison of MVAC and MVDC systems during a fault will also contribute to designing the protection systems of hybrid MV AC/DC systems. In this paper, the challenges of protecting DC faults of MVDC systems and possible solutions are first introduced. Then, the fault characteristics and post-fault restoration of MVDC and MVAC distribution systems are compared and investigated through case studies. Time-domain simulations have been conducted in PSCAD/EMTDC. The work in this paper will be valuable for the protection design for future hybrid MV AC/DC systems.

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Scheduling of Fully renewable energy systems with CSP Plants and Pumped Storage

Scheduling of Fully Renewable Energy Systems with CSP Plants...

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China International Electrical and energy Conference (CIEEC)

作者： Yang Cui Siyu Huang Huiquan Zhang Hongbo Li Key Laboratory of Modern Power Sysntem Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Ji Lin China State Grid Jilin Power Co. Ltd. Training Center Ji Lin China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

energy crisis and environmental pollution are becoming increasingly serious. Increasing the penetration rate of renewable energy in the power system can effectively solve this problem. Wind power and photovoltaic power generation are fluctuating power sources, and their large-scale interconnection will increase the difficulty of grid scheduling. Therefore, based on the regulation characteristics of concentrating solar power station, this paper proposes a green power dispatching strategy for power system with full renewable energy. The purpose of this strategy is to promote the consumption of renewable energy. The cost of power generation of each unit of the system and the security operation constraints of the grid are considered comprehensively. Finally, CPLEX optimization software was used to solve the model. The results verify the feasibility and validity of the proposed model.

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

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Journal of Physics: Conference Series 2020年第1期1578卷

作者： Weichun Ge Zhao Li Dong Zhao Zhenyu Li Qing Ye Yu Fu Na Yu State Grid Liaoning Province Electric Power Company Limited Shenyang 110006 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin 123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources; Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy.

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Research on Parameter Identification Method of Generator Excitation system Based on Differential Evolution Algorithm

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IOP Conference Series: Materials Science and Engineering 2020年第1期752卷

作者： Nan Li Yuqun Liu Bin Geng Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 Jilin Province China College of Electrical Engineering Northeast Electric Power University Jilin 13012 Jilin Province China Jilin Electric Power Co. Ltd. Changchun 130021 Jilin Province China

In order to solve the problem of large parameter identification error caused by nonlinear links of excitation system being triggered easily when transient stability is under fault state, an improved differential evolution algorithm for system parameter identification is proposed by using the characteristic of artificial intelligence algorithm that the nonlinear link is approximated infinitely through optimization. The improvement of the algorithm solves the problems of slow convergence speed, poor fine optimization ability and easily to produce local optimum when classical artificial intelligence algorithm identifies the parameters of non-linear links. At the same time, in order to solve the problem of inaccurate parameters in the whole identification, a decomposition link identification strategy is proposed. The example analysis shows that the algorithm improves the convergence speed, avoids local optimum and improves the convergence accuracy. According to the proposed parameter identification strategy, the excitation system is decomposed and identified, which improves the accuracy of generator excitation system parameter identification, and provides an accurate model and method for power system stability analysis

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

Ancillary service for frequency regulation based on multi-en...

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11th IET International Conference on Advances in power system control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Model predictive control

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Multi-objective optimal dispatch method based on source-network-load-storage interaction system for DC distribution network

Multi-objective optimal dispatch method based on source-netw...

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International Conference on renewable power Generation

作者： Ran Quan Guoqing Li Guobin Jin Zhao Liu Qing Chen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Jiangsu Electric Power Company Research Institute Nanjing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The DC distribution network can integrate the photovoltaic power generation system with high efficiency, but the random fluctuation of the photovoltaic output power is strong and there is a problem of PV consumption, which has a certain degree of impact on the economic optimization operation of the system. Therefore, the source-network-load-storage optimization interaction concept is introduced in the DC distribution network. Based on the in-depth analysis of the interactive load characteristics, the interaction load and energy storage technology can be fully utilized to the system to consumpt the photovoltaic. Combined with the features of DC distribution network structure, comprehensively consider the impact of the interactive load and energy storage system collaborative optimization on the system operating cost and power flow distribution, so that both the power generation side and the power side can participate in the resource optimization configuration of the grid operation. A multi-objective optimal scheduling model for photovoltaic DC distribution networks with operational cost, network loss and voltage deviation is established. The simulation example shows that: Collaborative optimization using interactive load and energy storage system can greatly reduce system operating cost, network loss and voltage deviation, effectively improve the level of PV consumption, and realize safe and reliable operation of DC distribution network.

关键词： DC distribution network Distributed photovoltaic energy storage system Interactive load Optimal scheduling

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energy management of wind-PV-storage-grid based large electricity consumer using robust optimization technique

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Journal of energy Storage 2020年 27卷

作者： Dongmin Yu Tao Zhang Guixiong He Sayyad Nojavan Kittisak Jermsittiparsert Noradin Ghadimi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China Electric Power Research Institute of China Haidian District Beijing 100085 China Department of Electrical Engineering University of Bonab Bonab Iran Social Research Institute Chulalongkorn University Bangkok Thailand Young Researchers and Elite Club Islamic Azad University Ardabil Branch Ardabil Iran

Large electricity consumers (LEC) can purchase energy from various energy resources such as bilateral contracts, pool market, micro-turbines, battery storage systems, wind turbines, photovoltaic panels (PV). The uncertainty of market price leads to uncertainty in the total cost to the LEC. Therefore, in this article, the robust optimization (RO) technique is provided to investigate the uncertainty of the pool market price in the presented problem. Also, demand response program (DRP) is provided to decrease the purchased cost to the LEC as much as possible. According to the obtained results, without considering DRP, purchased cost is approximately $40,253.252 and $42,586.984, respectively in the risk-neutral strategy (ideal condition) and robust strategy (worst condition). Furthermore, the purchased cost is reduced nearly $36,945.362 and $39,789.267 in the risk-neutral and robust strategies with considering DRP. So, it can be concluded that the purchased cost to the LEC with considering DRP is reduced 8.2% and 6.5% in risk-neutral and robust strategies, respectively.

关键词： Large electricity consumers (LEC) Wind turbine Photovoltaic panel (PV) Demand response program (DRP) Robust optimization approach (RO)

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load

Ancillary service for frequency regulation based on multi-en...

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The 11th IET International Conference on Advances in power system control, Operation and Management (APSCOM 2018)

作者： Jiazhen Wang Xinwei Shen Yinliang Xu Qinglai Guo Hongbin Sun Yanbo Chen Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

ISBN: (数字)9781839530043

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energy Optimization Dispatching of Microgrid in The Stand-alone Mode

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Journal of Physics: Conference Series 2019年第1期1304卷

作者： Li Sun Shujian Zhao Chenglian Ma Jing Jiang Yuanzhu Meng Tianliang Yao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin Jilin 132012 China Power Research Institute of State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130021 China Jilin Power Supply Company State Grid Jilin Electric Power Co. Ltd. Jilin Jilin 132001 China Gansu Electric Power Design Institute Limited Company of China Energy Construction Group Lanzhou 730050 China

A microgrid system in the stand-alone mode with photovoltaic, wind turbine, microturbine, fuel cell and energy storage unit is studied. Mathematical models of different distributed power supply and energy storage devices are established. The load demand of the system, the price of purchasing and selling electricity when interacting with the power grid and other constraints are considered. An economic model for optimizing stand-alone operation cost is established. According to the characteristics of the model, an improved genetic algorithm is selected to optimize the nonlinear system. The algorithm has better stability in solving the optimization problem of large state space dimension. The case study show that the proposed economic model is reasonable and the algorithm is effective.

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Economic Optimal Dispatch of Grid-connected Microgrid Based on Improved Genetic Algorithm

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Journal of Physics: Conference Series 2019年第1期1304卷

作者： Li Sun Shujian Zhao Chenglian Ma Naixin Chen Tianliang Yao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin Jilin 132012 China Power Research Institute of State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130021 China Changchun Power Supply Company State Grid Jilin Electric Power Co. Ltd. Changchun Jilin 130000 China Gansu Electric Power Design Institute Limited Company of China Energy Construction Group Lanzhou 730050 China

Nowadays, the demand for energy is expanding, the fossil resources are on the verge of exhaustion, and the ecological environment is getting worse and worse. In this form, this paper studies the economic optimal dispatch of microgrid under the background of energy saving and emission reduction. Firstly, the mathematical model of microgrid composed of distributed power, energy storage devices and loads is established. Secondly, under the background of energy saving and emission reduction, the objective function of multi-objective optimal operation of microgrid is established considering both economic and environmental aspects. Finally, the improved Genetic Algorithm is used to solve the objective function. The results of optimization can reduce microgrid system generation cost.

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