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arXiv 2019年

作者： Gui, Qiang Su, Hao Feng, Donghan Zhou, Yun Xu, Ran Lei, Ting Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai China Marketing Department State Grid Shanghai Municipal Electric Power Company 1122 Yuansheng Rd. Shanghai China

Recently, rapid development of battery technology makes it feasible to integrate renewable generations with battery energy storage system (BESS). The consideration of BESS life loss for different BESS application scenarios is economic imperative. In this paper, a novel linear BESS life loss calculation model for BESS-integrated wind farm in scheduled power tracking is proposed. Firstly, based on the life cycle times-depth of discharge (DOD) relation-curve, the BESS life loss coefficient for unit throughput energy with different state of charge (SOC) can be determined from the life cycle times-DOD relation-curve fitting function directly. Secondly, as unidirectional variation of SOC in a single time step, the BESS life loss can be calculated through integration of the life loss coefficient-SOC relation function. A linear BESS life loss calculation model is established through self-optimal piecewise linearization of the primitive function of the life loss coefficient-SOC relation function. Thirdly, the proposed life loss calculation model is incorporated in the BESS-integrated wind farm scheduled power tracking optimization. Case studies demonstrate that with the proposed method, the BESS life loss item can be incorporated in the optimization model effectively, and the scheduled power tracking cost of the BESS-integrated wind farm can be determined and optimized more comprehensively. Copyright © 2019, The Authors. All rights reserved.

关键词： Electric utilities

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Parallel Dispatch:A New Paradigm of electrical power system Dispatch

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 311-319页

作者： Jun Jason Zhang Fei-Yue Wang Qiang Wang Dazhi Hao Xiaojing Yang David Wenzhong Gao Xiangyang Zhao Yingchen Zhang Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver Denver 80210 CO USA State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science (SKL-MCCS CASIA) Beijing 100190 China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha 410073 China State Grid Tianjin Electric Power Company Tianjin 300010 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China National Renewable Energy Laboratory Golden CO 80401 USA IEEE

Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus,the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm,namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids,extend system operators' capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.

关键词： ACP knowledge automation power dispatch parallel dynamic programming parallel intelligence paralle learning situational awareness

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A novel linear battery energy storage system (BESS) life loss calculation model for BESS-integrated wind farm in scheduled power tracking

A novel linear battery energy storage system (BESS) life los...

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8th Renewable power Generation Conference (RPG 2019)

作者： Qiang Gui Hao Su Donghan Feng Yun Zhou Ran Xu Zheng Yan Ting Lei Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai China Marketing Department State Grid Shanghai Municipal Electric Power Company 1122 Yuansheng Rd. Shanghai China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

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Peak regulation strategy of regional power systems for large-scale renewable generation accommodation 2

Peak regulation strategy of regional power systems for large...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Meng, Tianhui Qian, Minhui Zhao, Dawei Chen, Ning Wang, Ningbo Zhang, Wei State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China EPRI Nanjing210003 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China Wind Generation Technology Center State Grid Gansu Electric Power Company Lanzhou730050 China

ISBN: (纸本)9781538641316

The integration of large-scale renewable energy has brought great challenges for the control and operation of power systems. In order to accommodate the renewable power as much as possible, the system operators should properly coordinate the conventional generators such hydro and thermal units in the system. In this paper, a peak regulation strategy is proposed for the control of multiple heterogeneous generators to maximize the renewable energy usage ratio in a regional power system. To this end, first the hydro generators is utilized to alleviate the stress for peak regulation due to dramatic fluctuation of the renewable power. Then an optimization model is established with objective function being maximizing the peak regulation capability of the system in a weekly period. The obtained optimal solution of the model can ensure the peak regulation requirement of the system during the whole planning-period while avoiding the frequent switch of on-off operation for the thermal units within the system. © 2018 IEEE.

关键词： Renewable energy resources

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Mechanism and characteristic analyses of subsynchronous oscillations caused by the interactions between direct-drive wind turbines and weak AC power systems

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The Journal of engineering 2018年第13期2017卷 1651-1656页

作者： Wei Liu Xiaorong Xie Huakun Liu Jingbo He State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing People's Republic of China National Power Dispatching and Control Center Beijing People's Republic of China

Recently, serious subsynchronous oscillation (SSO) events have occurred frequently due to the increasing interactions of direct-drive wind turbines with power systems. This emerging SSO would cause the action of the torsional vibration protection and trip the turbine generators. To ensure the safe and stable operation of the power system and to avoid unnecessary oscillations, the mechanism and characteristics of such SSOs are investigated. In this study, the Hami power system in Xinjiang Uygur Autonomous region is taken as an example to illustrate the factors of this kind of SSO. Firstly, a study model is established according to the actual situation of this power system. Then, the topological structure and main parameters of the model are investigated in detail. In addition the control approaches, which are included in the model, are also elaborated. Finally, simulation analyses based on power system computer aided design (PSCAD)/electromagnetic transients including DC (EMTDC) are carried out to investigate the impact of the various factors on the characteristics of SSO. The presented model and results offer a reference for future research on this emerging SSO.

关键词： power system stability wind turbines turbogenerators electrical safety subsynchronous oscillations direct-drive wind turbines weak AC power systems SSO events torsional vibration protection turbine generators power system operation stability power system operation safety Hami power system Xinjiang Uygur autonomous region topological structure simulation analysis PSCAD-EMTDC

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Load forecasting model and day-ahead operation strategy for city-located EV quick charge stations

Load forecasting model and day-ahead operation strategy for ...

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8th Renewable power Generation Conference (RPG 2019)

作者： Zeyu Liu Yaxin Xie Donghan Feng Yun Zhou Shanshan Shi Chen Fang Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai China Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company 171 Handan Rd. Shanghai China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Charging demands of electric vehicles (EVs) are sharply increasing due to the rapid development of EVs. Hence, reliable and convenient quick charge stations are required to respond to the needs of EV drivers. Due to the uncertainty of EV charging loads, load forecasting becomes vital for the operation of quick charge stations to formulate the day-ahead plan. In this paper, based on trip chain theory and EV user behaviour, an EV charging load forecasting model is established for quick charge station operators. This model is capable of forecasting the charging demand of a city-located quick charge station during the next day, where the MonteCarlo simulation method is applied. Furthermore, based on the forecasting model, a day-ahead profit-oriented operation strategy for such stations is derived. The simulation results support the effectiveness of this forecasting model and the operation strategy. The conclusions of this paper are as follows: 1) The charging load forecasting model ensures operators to grasp the feature of the charging load of the next day. 2) The revenue of the quick charge station can be dramatically increased by applying the proposed day-head operation strategy.

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Load forecasting model and day-ahead operation strategy for city-located EV quick charge stations

arXiv

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arXiv 2019年

作者： Liu, Zeyu Xie, Yaxin Feng, Donghan Zhou, Yun Shi, Shanshan Fang, Chen Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai China Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company 171 Handan Rd. Shanghai China

Charging demands of electric vehicles (EVs) are sharply increasing due to the rapid development of EVs. Hence, reliable and convenient quick charge stations are required to respond to the needs of EV drivers. Due to the uncertainty of EV charging loads, load forecasting becomes vital for the operation of quick charge stations to formulate the day-ahead plan. In this paper, based on trip chain theory and EV user behaviour, an EV charging load forecasting model is established for quick charge station operators. This model is capable of forecasting the charging demand of a city-located quick charge station during the next day, where the Monte-Carlo simulation method is applied. Furthermore, based on the forecasting model, a day-ahead profit-oriented operation strategy for such stations is derived. The simulation results support the effectiveness of this forecasting model and the operation strategy. The conclusions of this paper are as follows: 1) The charging load forecasting model ensures operators to grasp the feature of the charging load of the next day. 2) The revenue of the quick charge station can be dramatically increased by applying the proposed day-head operation strategy. Copyright © 2019, The Authors. All rights reserved.

关键词： Intelligent systems

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Optimal power dispatch considering deep cycling and carbon emission for wind-coal intensive power systems 2

Optimal power dispatch considering deep cycling and carbon e...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Qian, Minhui Zhao, Dawei Zhang, Wei Chen, Ning Chen, Zhao Ma, Yanhong Meng, Tianhui State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China EPRI Nanjing 210003 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China Wind Generation Technology Center State Grid Gansu Electric Power Company Lanzhou730050 China State Grid Gansu Electric Power Company Lanzhou730046 China

ISBN: (纸本)9781538641316

The integration of large-scale renewable energy has brought great challenges for the control and operation of power systems. In order to accommodate the renewable power as much as possible, the system operators should properly coordinate the conventional generators such as thermal units with renewable sources to operate the power system efficiently while satisfying the constraints enforced by energy consummation as well as regulation rules. In this paper, an optimal power dispatch method is proposed for the wind-coal intensive power system by considering both deep cycling and carbon emission cost of the thermal units. To this end, the deep cycling cost function is proposed to properly signify the operation cost of thermal units that are operating in the deep cycling states while the carbon emission cost function is presented to accommodate the charge for emission. The optimal dispatch problem is formulated as a quadratic optimization problem, and the corresponding solution of this optimization problem can ensure the feasible and economic operation of power systems with high penetration of renewable energy. The case studies prove the effectiveness of the proposed method. © 2018 IEEE.

关键词： Cost functions

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Active power Sharing Method of Battery Energy Storage systems for Frequency control of Commercial Park power Grids

Active Power Sharing Method of Battery Energy Storage System...

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2018 4th International Conference on Green Materials and Environmental engineering(GMEE 2018)

作者： Yue LI Xiang-jun LI Zi-cheng MAO Shang-xing WANG Xue-cui JIA Yue-zhong TANG Chen FANG Hao-jing WANG Yu ZHANG State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems Energy Storage and Electrical Engineering DepartmentChina Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company

In this paper, a frequency control method for off-grid operation of energy storage systems has been proposed with virtual synchronous control. Firstly, the single-machine mathematical model of the power converter system（PCS） controlled by the virtual synchronous machine is established. Secondly, energy storage systems based on virtual synchronous control have been analyzed. Finally, two battery energy storage systems（BESS） were built on the SIMULINK simulation platform to realize island operation of the energy storage system, which verified the effectiveness of the proposed control strategy.

关键词： Battery energy storage system Virtual synchronous machine Frequency regulation Multi-machine parallel connection

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The Application of One-Cycle control Technology in Electric Spring system 2

The Application of One-Cycle Control Technology in Electric ...

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2018 2nd International Symposium on Resource Exploration and Environmental Science, REES 2018

作者： Tang, Niang Yang, Kai Huang, Hui Lee, Chi-Kwan Electric Power Research Institude of Guangdong Power Grid Co. Ltd. Guangzhou Guangdong510080 China State Key Laboratory of Power Equipment and System Security and New Technology Shapingba District Chongqing400044 China Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong

This paper first introduced the function, application and the control algorithm of the electric spring (ES), then the working principle of ES are explained. Aiming at the problems that the existing control algorithms have complex structures and are not conducive to accurate tracking of AC voltage signals on sensitive loads, this paper proposes the ES control strategy based on one-cycle control (OCC) technology. In Matlab/SimulinK, the ES system based on the OCC strategy is modeled and simulated. Through the waveform analysis, it is known that when the power of the photovoltaic system injected into the power grid fluctuates, the ES based on the OCC strategy system can operate in a capacitive, inductive or resistive mode automatically, which can achieve a direct and accurate tracking of a given AC voltage signal under the condition that a small amount of reactive power is injected into the grid, thus the voltage of the sensitive load is stabilized, and at the same time the voltage fluctuations on the grid side voltage can be transferred to non-sensitive loads in series with the ES. © Published under licence by IOP Publishing Ltd.

关键词： Time series analysis

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