面向弃风消纳的电储能-热电分级协调优化方法

doi:10.11930/j.issn.1004-9649.202002130

中国电力 ›› 2020, Vol. 53 ›› Issue (12): 127-135.DOI: 10.11930/j.issn.1004-9649.202002130

• 新能源电力系统源网荷储协调运行技术专栏 • 上一篇下一篇

面向弃风消纳的电储能-热电分级协调优化方法

杨玉龙¹, 李湃², 黄越辉², 王桂林³, 周义刚³

1. 东北电力大学电气工程学院，吉林吉林 132012;
2. 新能源与储能运行控制国家重点实验室（中国电力科学研究院有限公司），北京 100192;
3. 国网天津市电力公司电力科学研究院，天津 300384

收稿日期:2020-02-24 修回日期:2020-03-17 发布日期:2020-12-16
作者简介:杨玉龙(1986—)，男，博士，讲师，从事电力系统优化调度研究，E-mail：yangyulong@neepu.edu.cn;李湃(1988—)，男，通信作者，博士，高级工程师，从事新能源生产模拟与优化调度研究，E-mail：lipai@epri.sgcc.com.cn;黄越辉(1979—)，女，博士，高级工程师（教授级），从事新能源生产模拟与优化调度研究，E-mail：huangyh@epri.sgcc.com.cn
基金资助:
国家电网有限公司科技项目(全球能源互联模式下可再生能源优化开发利用模型及电力流量化模拟关键技术研究，NYB17201800031)

Method on Hierarchical Coordinated Optimization of Electrical Energy Storage and Thermoelectric Power for Accommodation of Curtailed Wind Power

YANG Yulong¹, LI Pai², HUANG Yuehui², WANG Guilin³, ZHOU Yigang³

1. Electrical Engineering College, Northeast Electric Power University, Jilin 132012, China;
2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing 100192, China;
3. State Grid TianJin Electric Power Research Institute, Tianjin 300384, China

Received:2020-02-24 Revised:2020-03-17 Published:2020-12-16
Supported by:
This work is supported by Science and Technology Project of SGCC (Research on Key Technologies of Development and Utilization Model of Renewable Energy and Power Flow Simulation under Global Energy Interconnection, No.NYB17201800031)

摘要/Abstract

摘要： 中国北方地区存在高比例的热电联产机组，受冬季采暖负荷制约，调节能力有限，引发冬季弃风问题，增加电储能和储热设备是提高热电联产机组调节能力的重要手段。研究在电力辅助服务市场环境下的热电联产机组与电储能、储热设备的协调优化运行方法，分别建立以电储能设备和热电联产机组调峰效益最大和蓄热效益最大为目标，考虑弃风最大化消纳、系统供热需求以及热电联产机组、电储能和储热设备运行约束的分级协调优化模型。系统仿真测试表明：所提方法能够协调优化电储能和储热装置的运行，充分利用储热设备的多日调节能力，提高系统在电力市场中的运行收益，有效减少弃风。研究结果对解决当前电力市场环境下北方地区的冬季弃风问题具有一定价值。

关键词: 热电联产, 储能, 蓄热, 调峰, 多日, 弃风

Abstract: Large scale combined heat and power (CHP) units exist in Northern China, but their peak regulation capacities are limited due to the heating demand in winter. This results in the wind power curtailment problem in winter. Adding energy and thermal storage devices is regarded as an important method to improve peak regulation capacities of CHP units. This paper studies the coordinated optimization method of CHP units, energy and thermal storage under the ancillary service market environment. To maximize the thermal storage benefit and peak load regulation benefit of electrical energy storage and CHP units respectively, this paper builds a hierarchical coordinated optimization model that considers wind power accommodation maximization, heating demand constraint and the operating constraints of CHP units, electrical and thermal energy storage. Through the simulation testing, the proposal can coordinate the operation between the electrical energy storage device and thermal storage device, and take full advantage of multi-day adjustment ability of thermal storage device, so as to increase the system operating benefits in power market and reduce wind power curtailment. These research results have reference value for solving wind power curtailment problem in winter under current power market environment in Northern China.

Key words: CHP, energy storage, thermal storage, peak regulation, multi-day, wind power curtailment

杨玉龙, 李湃, 黄越辉, 王桂林, 周义刚. 面向弃风消纳的电储能-热电分级协调优化方法[J]. 中国电力, 2020, 53(12): 127-135.

YANG Yulong, LI Pai, HUANG Yuehui, WANG Guilin, ZHOU Yigang. Method on Hierarchical Coordinated Optimization of Electrical Energy Storage and Thermoelectric Power for Accommodation of Curtailed Wind Power[J]. Electric Power, 2020, 53(12): 127-135.

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面向弃风消纳的电储能-热电分级协调优化方法

Method on Hierarchical Coordinated Optimization of Electrical Energy Storage and Thermoelectric Power for Accommodation of Curtailed Wind Power

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面向弃风消纳的电储能-热电分级协调优化方法

Method on Hierarchical Coordinated Optimization of Electrical Energy Storage and Thermoelectric Power for Accommodation of Curtailed Wind Power

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