适应风电参与电力市场的需求侧储能负荷运行优化研究

doi:10.3969/j.issn.2097-0706.2022.02.006

摘要/Abstract

摘要：

可再生能源随着电力工业的迅速发展逐渐大规模接入电网,形成新型电力系统和能源互联网。但由于火电机组的高污染特性,所以在一定程度上激发了可再生能源在新型发电组合中占有的高比例。风电在减少污染和改善系统经济性的同时,也存在较大随机性、间歇性等一系列现实运行场景中存在的问题。由于风电出力的不确定性以及储能系统的高成本限制了其大规模应用,对风电参与电力市场策略及风储系统的运行优化进行了分析研究。首先介绍了发展背景,分析了课题具有的重要现实意义。随后介绍了风储联合系统的结构原理及研究现状,分析了风电参与电力市场的策略和风险因素。再以风储联合系统的总收益最大为目标,以风电出力波动和市场电价波动为考虑因素,建立需求侧储能运行优化的目标模型。最后建立风储联合优化数学模型,确定其运行优化策略。

关键词: 风电, 储能系统, 需求侧储能负荷, 电力市场, 可再生能源, 新型电力系统, 能源互联网

Abstract:

With the rapid development of the power industry,renewable energy sources are gradually connected to the grid on a large scale.Since the development of thermal power units is limited by severe pollution problems,the proportion of renewable energy in the power generation mix gets increased to a certain extent.Wind power generation,while reducing pollution and improving system economy,has problems in practice,such as randomness and intermittency.And its large-scale application is restricted by the uncertainty of wind power output and the high cost of energy storage systems.The strategy of wind power's participation in electricity market and the operation optimization of wind-energy storage systems are analyzed.The main processes are as follows.Firstly,the development background and practical importance of the subject are introduced.Subsequently,the structure and principle of the hybrid wind-storage system,and the strategy and risk factors of wind power participating in electricity market are analyzed.The hybrid wind-storage system aims at maximizing the total revenue.Taking the fluctuations of wind power output and electricity price into consideration,a target model for optimizing the demand-side energy storage system is established.Finally,based on the mathematical model,and the optimization strategy is made.

Key words: wind power, energy storage system, demand side load, electricity market, renewable energy, new power system, energy internet

中图分类号:

TK01

管馨, 陈涛, 高赐威. 适应风电参与电力市场的需求侧储能负荷运行优化研究[J]. 综合智慧能源, 2022, 44(2): 35-41.

GUAN Xin, CHEN Tao, GAO Ciwei. Study on optimal operation of the demand-side energy storage system for wind power participating in electricity market[J]. Integrated Intelligent Energy, 2022, 44(2): 35-41.

图/表 10

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

参考文献 24

[1]	刘鑫. 考虑风储一体化运行风险的电力系统优化调度研究[D]. 大连:大连理工大学, 2018.
[2]	郭翀. 风电–储能联合系统储能容量优化研究[D]. 石家庄:河北科技大学, 2017.
[3]	杨潇. 基于模糊算法的风储联合系统控制策略研究[D]. 济南:山东大学, 2016.
[4]	刘子豪. 大规模风电并网对电力系统安全稳定影响的研究[D]. 北京:华北电力大学, 2018.
[5]	朱旭. 世界关注中国风电跨国公司抓紧布局[J]. 工业设计, 2009(8):24.
	ZHU Xu. The world pays attention to China's wind power,multinational companies pay close attention to the layout[J]. Industrial Design, 2009(8):24.
[6]	黄山. 风电储能系统优化配置及运行研究[D]. 沈阳:沈阳工业大学, 2017.
[7]	CHEN C L, LEE T Y, JAN R M. Optimal wind-thermal coordination dispatch in isolated power systems with large integration of wind capacity[J]. Energy Conversion and Management, 2006,47:3456-3472. doi: 10.1016/j.enconman.2005.12.016
[8]	秦云甫. 我国风电产业发展问题分析与解决途径[D]. 北京:华北电力大学, 2012.
[9]	张文珺, 喻炜. 中国风电建设的区域分布及其对风力发电水平的影响[J]. 经济问题探索, 2014(1):77-84.
	ZHANG Wenjun, YU Wei. Regional distribution of wind power construction in China and its impact on the level of wind power generation[J]. Exploration of Economic Issues, 2014(1):77-84.
[10]	艾欣, 刘晓. 基于需求响应的风电消纳机会约束模型研究[J]. 华北电力大学学报(自然科学版), 2011,38(3):17-22.
	AI Xin, LIU Xiao. Research on wind power consumption opportunity constraint model based on demand response[J]. Journal of North China Electric Power University (Natural Science Edition), 2011,38(3):17-22.
[11]	袁小明, 程时杰, 文劲宇. 储能技术在解决大规模风电并网问题中的应用前景分析[J]. 电力系统自动化, 2013,37(1):14-18.
	YUAN Xiaoming, CHENG Shijie, WEN Jinyu. Application prospect analysis of energy storage technology in solving large-scale wind power grid connection problems[J]. Automation of Electric Power Systems, 2013,37(1):14-18.
[12]	梁亮, 李建林, 惠东. 大型风电场用储能装置容量的优化配置[J]. 高电压技术, 2011,37(4):930-936.
	LIANG Liang, LI Jianlin, HUI Dong. Optimum configuration of energy storage device capacity for large wind farms[J]. High Voltage Technology, 2011,37(4):930-936.
[13]	王小蕾, 顾佳, 周佳威. 风储联合系统的储能容量优化配置[J]. 浙江电力, 2018,37(9):14-17.
	WANG Xiaolei, GU Jia, ZHOU Jiawei. Optimization configuration of energy storage capacity of wind-storage combined system[J]. Zhejiang Electric Power, 2018,37(9):14-17.
[14]	王魁, 张步涵, 胡永强. 考虑储能装置风电场的动态经济调度[J]. 湖北工业大学学报, 2011,26(1):1-4.
	WANG Kui, ZHANG Buhan, HU Yongqiang. Considering the dynamic economic dispatch of wind farms with energy storage devices[J]. Journal of Hubei University of Technology, 2011,26(1):1-4.
[15]	曾鸣, 李娜, 马明娟, 等. 电力市场环境下风储联合运行系统的经济效益评估模型[J]. 华东电力, 2012,40(9):1469-1473.
	ZENG Ming, LI Na, MA Mingjuan, et al. Economic benefit evaluation model of wind-storage combined operation system in power market environment[J]. East China Electric Power, 2012,40(9):1469-1473.
[16]	德格吉日夫, 谭忠富, 李梦露, 等. 考虑不确定性的风储电站参与电力现货市场竞价策略[J]. 电网技术, 2019,43(8)2799-2807.
	DE Gejirifu, TAN Zhongfu, LI Menglu, et al. Uncertainty consideration of wind storage power station participation in power spot market bidding strategy[J]. Power System Technology, 2019,43(8):2799-2807.
[17]	MASON K, QADRDAN M, JENKINS N. Investing in generation and storage capacity in a liberalised electricity market:An agent based approach[J]. Applied Energy, 2021,294:11905.
[18]	曾雪彤, 谭建成. 风电企业参与电力市场研究综述[J]. 浙江电力, 2019,38(7):20-28.
	ZENG Xuetong, TAN Jiancheng. Summary of research on participation of wind power enterprises in power market[J]. Zhejiang Electric Power, 2019,38(7):20-28.
[19]	ZHANG Z, ZHANG Y, HUANG Q. Market-oriented optimal dispatching strategy for a wind farm with a multiple stage hybrid energy storage system,CSEE Journal of Power and Energy Systems, 2018,4(4):417-424.
[20]	牛浩川. 基于综合目标函数的风电场储能容置优化研究[D]. 济南:山东大学, 2017.
[21]	刘林鹏, 陈嘉俊, 朱建全, 等. 风储联合参与电能量与快速调频市场的优化投标策略[J]. 华电技术, 2021,43(9):46-53.
	LIU Linpeng, CHEN Jiajun, ZHU Jianquan, et al. Optimization bidding strategy for wind power and energy storage participating in energy market[J]. Huadian Technology, 2021,43(9):46-53.
[22]	江水明. 平抑风电功率储能装置控制策略研究[D]. 南京:南京师范大学, 2018.
[23]	王金星, 张少强, 张瀚文, 等. 燃煤电厂调峰调频储能技术的研究进展[J]. 华电技术, 2020,42(4):64-71.
	WANG Jinxing, ZHANG Shaoqiang, ZHANG Hanwen, et al. Progress on the peak load regulation,frequency regulation and energy storage technologies for coal-fired power plants[J]. Huadian Technology, 2020,42(4):64-71.
[24]	童家麟, 洪庆, 吕洪坤, 等. 电源侧储能技术发展现状及应用前景综述[J]. 华电技术, 2021,43(7):17-23.
	TONG Jialin, HONG Qing, LYU Hongkun, et al. Development status and application prospect of power side energy storage technology[J]. Huadian Technology, 2021,43(7):17-23.