Joint Optimal Dispatch for Power Distribution Network with Energy Storage Virtual Power Plant

doi:10.3969/j.issn.1000-7229.2017.09.006

Abstract

Abstract: ABSTRACT： To solve the challenges and economic problems of power distribution network caused by the uncertainty of the energy, it is very important to study the model of the joint optimal dispatch unit commitment of the virtual power plant （VPP） integrated with intermittent distributed energy to improve the operation security and the utilization of new energy. This paper proposes an improved Buckets method considering the operation characteristics of wind power and energy storage, and establishes an optimal unit commitment model of power distribution network, taking into account the uncertainty of the wind power and VPP with energy storage system. Based on the 6-node system, this paper studies the impact of the improved Buckets method on the cost of power generation and unit commitment. Compared with the traditional Buckets method, the proposed method can reduce the generation cost and starting up time of the model, which shows that the method can realize the optimal cost, the full use of wind power and the flexible use of energy storage.

Key words: wind power, virtual power plant （VPP）, unit commitment, energy storage, improved Buckets method

CLC Number:

TM 73

HUANG Lingran, BIAN Xiaoyan, LI Dongdong, LIN Shunfu. Joint Optimal Dispatch for Power Distribution Network with Energy Storage Virtual Power Plant

[J]. Electric Power Construction, 2017, 38(9): 38-.

References

［1］ TUOHY A, MEIBOM P, DENNY E, et al. Unit commitment for systems with significant wind penetration［J］. IEEE Transactions on Power Systems, 2009, 24（2）: 592-601.

［2］MORALES J M, CONEJO A J, PEREZ-RUIZ J. Economic valuation of reserves in power systems with high penetration of wind power［J］. IEEE Transactions on Power Systems, 2009, 24（2）: 900-910.

［3］王天旺, 高赟, 姜孟, 等. 虚拟电厂下计及分布式风电与储能系统的电力系统优化调度［J］. 电力建设, 2016, 37（11）: 108-114.

WANG Tianwang, GAO Yun, JIANG Meng, et al. Power system optimal scheduling including distributed wind power and energy storage system via virtual power plant［J］. Electric Power Construction, 2016, 37（11）: 108-114.

［4］卫志农, 余爽, 孙国强, 等. 虚拟电厂的概念与发展［J］. 电力系统自动化, 2013, 37（13）: 1-9.

WEI Zhinong, YU Shuang, SUN Guoqiang et al. Concept and development of virtual power plant［J］. Automation of Electric Power Systems, 2013, 37（13）: 1-9.

［5］WANG J, BOTTERUD A, BESSA R, et al. Wind power forecasting uncertainty and unit commitment［J］. Applied Energy, 2011, 88（11）: 4014-4023.

［6］QUAN H, SRINIVASAN D, KHOSRAVI A. Incorporating wind power forecast uncertainties into stochastic unit commitment using neural network-based prediction intervals［J］. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26（9）: 2123-2135.

［7］徐璐, 袁越. 基于电动汽车一体化电站的虚拟电厂智能调度［J］. 电力建设, 2015, 36（7）: 133-138.

XU Lu, YUAN Yue. Intelligent scheduling for virtual power plant based on electric vehicle integrated station［J］. Electric Power Construction, 2015, 36（7）: 133-138.

［8］牛文娟, 李扬, 王蓓蓓. 考虑不确定性的需求响应虚拟电厂建模［J］. 中国电机工程学报, 2014, 34（22）: 3630-3637.

NIU Wenjuan, LI Yang, WANG Beibei. Demand response based virtual power plant modeling considering uncertainty［J］. Proceedings of the CSEE, 2014, 34（22）: 3630-3637.

［9］刘芳, 潘毅, 杨军峰, 等. 风电–火电–抽水蓄能联合优化机组组合模型［J］. 中国电机工程学报, 2015, 35（4）: 766-775.

LIU Fang, PAN Yi, YANG Junfeng, et al. Unit commitment model for combined optimization of wind power-thermal power-pumped storage hydro［J］. Proceedings of the CSEE, 2015, 35（4）: 766-775.

［10］邹云阳, 杨莉. 基于经典场景集的风光水虚拟电厂协同调度模型［J］. 电网技术, 2015, 39（7）: 1855-1859.

ZOU Yunyang, YANG Li. Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set［J］. Power System Technology, 2015, 39（7）: 1855-1859.

［11］徐帆, 刘军, 张涛, 等. 考虑抽水蓄能机组的机组组合模型及求解［J］. 电力系统自动化, 2012, 36（12）: 36-40.

XU Fan, LIU Jun, ZHANG Tao, et al. Unit commitment problem with pumped-storage units［J］. Automation of Electric Power Systems, 2012, 36（12）:36-40.

［12］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, 207.

DONG Wenlue, WANG Qun, YANG Li. A coordinated dispatching mode for a distribution utility and virtual power plants with wind/photovoltaic/hydro generators［J］. Automation of Electric Power Systems, 2015, 39（9）: 75-81, 207.

［13］袁桂丽, 陈少梁, 刘颖, 等. 基于分时电价的虚拟电厂经济性优化调度［J］. 电网技术, 2016, 40（3）: 826-832.

YUAN Guili, CHEN Shaoliang, LIU Ying, et al. Economic optimal scheduling of virtual power plant based on time-of-use power price［J］. Power System Technology, 2016, 40（3）: 826-832.

［14］张明锐, 谢青青, 李路遥, 等. 考虑电动汽车能量管理的微网储能容量优化［J］. 中国电机工程学报, 2015, 35（18）: 4663-4673.

ZHANG Mingyue, XIE Qingqing, LI Luyao, et al. Optimal sizing of energy storage for microgrids considering energy management of electric vehicles［J］. Proceedings of the CSEE, 2015, 35（18）: 4663-4673.

［15］娄素华, 杨天蒙, 吴耀武, 等. 含高渗透率风电的电力系统复合储能协调优化运行［J］. 电力系统自动化, 2016, 40（7）: 30-35.

LOU Suhua, YANG Tianmeng, WU Yaowu. Coordinated optimal operation of hybrid energy storage in power system accommodated high penetration of wind power［J］. Automation of Electric Power Systems, 2016, 40（7）: 30-35.

［16］谢毓广, 江晓东. 储能系统对含风电的机组组合问题影响分析［J］. 电力系统自动化, 2011, 35（5）: 19-24.

XIE Yuguang, JIANG Xiaodong. Impact of energy storage system on the unit commitment problem with volatile wind power［J］. Automation of Electric Power Systems, 2011, 35（5）: 19-24.

［17］UCKUN C, BOTTERUD A, BIRGE J R. An improved stochastic unit commitment formulation to accommodate wind uncertainty［J］. IEEE Transactions on Power Systems, 2016, 31（4）: 2507-2517.

［18］WANG J, SHAHIDEHPOUR M, LI Z. Security-constrained unit commitment with volatile wind power generation［J］. IEEE Transactions on Power Systems, 2008, 23（3）: 1319-1327.

［19］王颖, 张凯锋, 付嘉渝, 等. 抑制风电爬坡率的风储联合优化控制方法［J］. 电力系统自动化, 2013, 37（13）:17-23.

WANG Ying, ZHANG Kaifeng, FU Jiayu, et al. Optimization control method of wind/storage system for suppressing wind power ramp rate［J］. Automation of Electric Power Systems, 2013, 37（13）: 17-23.

［20］严干贵, 刘嘉, 崔杨, 等. 利用储能提高风电调度入网规模的经济性评价［J］. 中国电机工程学报, 2013, 33（22）: 45-52.

YAN Gangui, LIU Jia, CUI Yang, et al. Economic evaluation of improving the wind power scheduling scale by energy storage system［J］. Proceedings of the CSEE, 2013, 33（22）: 45-52.

[1]	ZHU Xu, YANG Jun, LI Gaojunjie, DONG Xuzhu, LIU Shouwen. Optimal Dispatching Strategy of Regional Integrated Energy System Considering Virtual Energy Storage System朱旭1，杨军1，李高俊杰1，董旭柱1，刘首文2 [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 99-110.
[2]	JIANG Dajun， WU Fubao， WANG Qiyun， ZHANG Yanjun， SUN Lixia， WU Yingjun. Robust Optimal Combined Wind-Storage Scheduling Based on Regulatory Cloud [J]. Electric Power Construction, 2020, 41(7): 9-16.
[3]	FANG Chaoxiong， WU Xiaosheng， JIANG Yuewen. Research on Multi-Objective Bi-Level Optimization of Network-Storage Considering Transient Stability [J]. Electric Power Construction, 2020, 41(7): 58-66.
[4]	ZHANG Kai， QIU Xiaoyan， LI Linghao， ZHANG Haoyu， ZHAO Youlin， LIU Mengyi. Energy Storage Configuration Scheme Considering the Effect of Static Voltage Stability in Wind Power Systems [J]. Electric Power Construction, 2020, 41(7): 110-116.
[5]	YE Fei1， SHAO Ping1， WANG Xuanyuan2， ZUO Juan1， WANG Jun3， DOU Xun3， ZHANG Xin3. Bi-level Bidding Strategies for Virtual Power Plants Considering Purchase and Sale Risks [J]. Electric Power Construction, 2020, 41(6): 28-35.
[6]	JIA Xuecui 1， LI Xiangjun 1， WAN Jun 2， LI Wenqi3， HUO Fangqiang2. Control Method of Large-Scale Battery Energy Storage System for Suppressing the Disturbance of Power Grid [J]. Electric Power Construction, 2020, 41(6): 69-76.
[7]	LI Jianlin， LI Yaxin，ZHOU Xichao. Summary of Research on Grid-Side Energy Storage Technology [J]. Electric Power Construction, 2020, 41(6): 77-84.
[8]	SU Junni，ZHANG Xin，ZHAO Junwei，ZHANG Rui，QU Minghui，YANG Yanhong. Optimal Dispatching of Integrated Electricity-Gas System Considering Demand Response and Energy Storage [J]. Electric Power Construction, 2020, 41(5): 1-8.
[9]	ZHANG Zhirong， QIU Xiaoyan， SUN Xu， REN Hao， ZHANG Mingke. Economic Optimal Scheduling of AC/DC Distribution Network Coordinating Flexible Load and Energy Storage Systems#br# [J]. Electric Power Construction, 2020, 41(5): 116-123.
[10]	DONG Ling， NIAN Heng， FAN Yue， ZHAO Jianyong， ZHANG Zhi，LIN Zhenzhi. Exploration and Practice of Business Model of Shared Energy Storage in Energy Internet [J]. Electric Power Construction, 2020, 41(4): 38-44.
[11]	GUO Wei，XIU Xiaoqing，LI Wenqi，LI Jianlin. Siting and Configuration Methods for Grid-Side Energy Storage System Considering Multi-Attribute Comprehensive Indices and Economy [J]. Electric Power Construction, 2020, 41(4): 53-62.
[12]	LIU Lu， NIU Meng， LI Jianlin，HUI Dong. Research on Status and Architecture of Standards on Electrochemical Energy Storage System [J]. Electric Power Construction, 2020, 41(4): 63-72.
[13]	FU Jianmin, YANG Bin, WANG Xiaojun, SUN Qingkai, ZHANG Yizhi, HE Jinghan, ZHANG Fang. Planning of Integrated Energy System for High-Speed Railway Station Considering Energy Storage of Buildings [J]. Electric Power Construction, 2020, 41(3): 13-22.
[14]	SHI Jingjian， ZHOU Wentao， ZHANG Ning， CHEN Qiao， LIU Jintao，CAO Zhenbo， CHEN Yi， SONG Hang， LIU Youbo. Deep Reinforcement Learning Algorithm of Voltage Regulation in Distribution Network with Energy Storage System [J]. Electric Power Construction, 2020, 41(3): 71-78.
[15]	LU Qiuyu， YANG Yinguo， WANG Zhongguan， TAN Yan， XIA Tian， WU Shuangxi. Economic Primary Frequency Control of Virtual Power Plant Applying Distributed Control Method Based on Sub-Gradient Projection [J]. Electric Power Construction, 2020, 41(3): 79-85.