Power System Optimal Scheduling including Distributed Wind Power and Energy Storage System via Virtual Power Plant

doi:10.3969/j.issn.1000－7229.2016.11.016

Abstract

Abstract: Penetration of renewable energy has been increasing in the power system for its environmental benefits. With the prosperity of smart grid technologies, more integration of renewable distributed generation is expected. Wind power is one of the renewable energy resources which have the most potential in both commercial and technical fields. This paper proposes a virtual power plant composed of distributed wind turbines and energy storage system to participate in the operation of power system, and establishes the optimal scheduling model for the power system with the virtual power plant. The proposed model takes the optimal scheduling of power and reserve capacity into account at the same time, and adopts conditional value at risk (CVaR) for the risk management of the total system operation cost. Without the network modification, the virtual power plant is more applicable to the scheduling and management of distributed renewable energy resources that are dispersedly located. More economic benefits can be obtained through the distributed renewable energy scheduling based on the virtual power plant compared to the conventional co-operation of wind power and energy storage. Furthermore, the risk of system operation can be reduced at the same time.

Key words: virtual power plant(VPP), distributed generation, wind power, energy storage, optimal scheduling

CLC Number:

TM 734

WANG Tianwang, GAO Yun, JIANG Meng,DU Tao. Power System Optimal Scheduling including Distributed Wind Power and Energy Storage System via Virtual Power Plant[J]. Electric Power Construction, 2016, 37(11): 108-.

References

［1］〖HJ*3/4〗贾宏杰, 穆云飞, 余晓丹.对我国综合能源系统发展的思考［J］. 电力建设, 2015, 36(1)：16-25.

JIA Hongjie, MU Yunfei, YU Xiaodan. Thought about the integrated energy system in China［J］. Electric Power Construction, 2015, 36(1)：16-25.

［2］薛禹胜, 雷兴, 薛峰,等. 关于风电不确定性对电力系统影响的评述［J］. 中国电机工程学报, 2014，34(29):5029-5040.

XUE Yusheng, LEI Xing, XUE Feng, et al. A review on impacts of wind power uncertainties on power systems ［J］. Proceeding of the CSEE, 2014,34(29):5029-5040.

［3］王蓓蓓, 刘小聪, 李扬. 面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究［J］. 中国电机工程学报, 2013, 33（22）: 35-44.

WANG Beibei, LIU Xiaocong, LI Yang. Day-ahead generation scheduling and operation simulation considering demand response in large-capacity wind power integrated systems ［J］. Proceeding of the CSEE, 2013, 33（22）: 35-44.

［4］刘巨, 姚伟, 文劲宇, 等. 大规模风电参与系统频率调整的技术展望［J］. 电网技术, 2014,38（3）: 638-646.

LIU Ju, YAO Wei, WEN Jinyu, et al. Prospect of technology for large-scale wind farm participating into power grid frequency regulation ［J］. Power System Technology, 2014, 38（3）: 638-646.

［5］薛志英, 周明, 李庚银. 大规模风电接入电力系统备用决策评述［J］. 电力系统保护与控制, 2013，41(4):148-155.

XUE Zhiying, ZHOU Ming, LI Gengyin. Survey on reserve decision of power systems with large scale wind power integration ［J］. Power System Protection and Control, 2013，41(4):148-155.

［6］匡洪海. 分布式风电并网系统的暂态稳定及电能质量改善研究［D］. 长沙：湖南大学, 2013.

KUANG Honghai. Improvement research on transient stability and power quality of distributed wind power integrated system ［D］. Changsha：Hunan University, 2013.

［7］李静, 韦巍, 辛焕海,等. 基于概率潮流的风电分布式电源优化配置［J］. 电力系统自动化, 2014, 38(14):70-76.

LI Jing, WEI Wei, XIN Huanhai, et al. Optimal allocation of wind power distributed generator based on probabilistic power flow ［J］. Automation of Electric Power Systems, 2014, 38(14):70-76.

［8］符杨,蒋一鎏,李振坤. 基于混合量子遗传算法的微电网电源优化配置［J］. 电力系统保护与控制,2013,41(24):50-57.

FU Yang, JIANG Yiliu, Li Zhenkun. Optimal allocation of distributed generation for microgrid based on hybrid quantum genetic algorithm［J］. Power System Protection and Control, 2012, 41 (24): 50-57.

［9］邓佳佳. 考虑分布式能源的电力系统优化运营模型研究［D］.北京：华北电力大学, 2012.

DENG Jiajia. Research on optimization models in power system operation based on distributed energy ［D］. Beijing：North China Electric Power University, 2012.

［10］吴雄, 王秀丽, 李骏,等. 风电储能混合系统的联合调度模型及求解［J］. 中国电机工程学报, 2013, 33(13):10-17.

WU Xiong, WANG Xiuli, LI Jun. et al. A joint operation model and solution for hybrid wind energy storage systems ［J］. Proceeding of the CSEE, 2013, 33(13):10-17.

［11］SOLOMON A A, KAMMEN D M, CALLAWAY D. The role of large-scale energy storage design and dispatch in the power grid: a study of very high grid penetration of variable renewable resources［J］. Applied Energy, 2014, 134（12）:75-89.

［12］HRVOJE P, IGOR K, TOMISLAV C. Virtual power plant mid-term dispatch optimization［J］. Applied Energy, 2013, 1(1)：134-141.

［13］张小敏. 虚拟发电厂在大规模风电并网中的应用［J］. 电力建设, 2011, 32(9):11-13.

ZHANG Xiaomin. Application of virtual power plant on large-scale wind power grid integration ［J］. Electric Power Construction, 2011, 32(9):11-13.

［14］范松丽, 艾芊, 贺兴. 基于机会约束规划的虚拟电厂调度风险分析［J］. 中国电机工程学报, 2015, 35(16):4025-4034.

FAN Songli，AI Qian，HE Xing. Risk analysis on dispatch of virtual power plant based on chance constrained programming ［J］. Proceeding of the CSEE, 2015, 35(16):4025-4034.

［15］YUAN Y, WEI Z, SUN G, et al. A real-time optimal generation cost control method for virtual power plant ［J］. Neurocomputing, 2014, 143(16):322-330.

［16］魏向向, 杨德昌, 叶斌. 能源互联网中虚拟电厂的运行模式及启示［J］. 电力建设, 2016, 37(4):1-9.

WEI Xiangxiang, YANG Dechang, YE Bin. Operation mode of virtual power plant in energy internet and its enlightenment ［J］. Electric Power Construction, 2016, 37(4):1-9.

［17］许佳佳. 基于虚拟发电厂的分布式电源调度管理模式的研究［D］.北京：华北电力大学, 2013.

XU Jiajia. Study on distributed generation dispatching management mode base on virtual power plant ［D］. Beijing：North China Electric Power University, 2013.

［18］李军军, 吴政球, 谭勋琼,等. 风力发电及其技术发展综述［J］. 电力建设, 2011, 32(8):64-72.

LI Junjun, WU Zhengqiu, TAN Xunqiong, et al. Review of wind power generation and relative technology development ［J］. Electric Power Construction, 2011, 32(8):64-72.

［19］李东东, 陈陈. 风力发电系统动态仿真的风速模型［J］. 中国电机工程学报, 2005, 25(21): 41-44.

LI Dongdong, CHEN Chen. Wind speed model for dynamic simulation of wind power generation system ［J］. Proceeding of the CSEE, 2005, 25(21): 41-44.

［20］董文略, 王群, 杨莉. 含风光水的虚拟电厂与配电公司协调调度模型［J］. 电力系统自动化, 2015，39(9): 75-81.

DONG Wenlue, WANG Qun, YANG Li. A coordinated dispatching model for a distribution utility and virtual power plants with wind/photovoltaic/hydro generators ［J］. Automation of Electric Power Systems, 2015,39(9): 75-81.

［21］ROCKAFELLAR R T, URYASEV S. Conditional value-at-risk for general loss distributions［J］. Journal of Banking & Finance, 2002, 26(7): 1443-1471.〖ZK）〗

〖JP4〗［22］李明炜. 考虑新能源及虚拟电厂的电力系统随机优化调度［D］. 上海：上海交通大学, 2015.

LI Mingwei. The stochastic optimization dispatch of power systems considering renewable energy and virtual power plant ［D］. Shanghai：Shanghai Jiao Tong University, 2015.

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