可再生能源供电区域电网中储能系统协同调度策略

doi:10.12096/j.2096-4528.pgt.20027

发电技术 ›› 2021, Vol. 42 ›› Issue (1): 31-39.DOI: 10.12096/j.2096-4528.pgt.20027

可再生能源供电区域电网中储能系统协同调度策略

马锐¹(), 李相俊¹^,*(), 李文启², 高冬学², 张景超², 宋宁希²

¹ 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), 北京市海淀区 100192
² 国网河南省电力公司, 河南省郑州市 450052

收稿日期:2020-04-28 出版日期:2021-02-28 发布日期:2021-03-12
通讯作者: 李相俊
作者简介:李相俊(1979)，男，博士，教授级高级工程师，主要从事规模储能技术、新能源与分布式发电以及电力系统运行与控制等方面研究工作，本文通信作者，li_xiangjun@126.com
马锐(1994)，男，硕士研究生，研究方向为储能系统在电网中的调度与控制，merry0111@163.com
李文启(1963)，男，博士，教授级高级工程师，主要研究方向为电力系统运行、需求侧管理
高冬学(1966)，男，高级工程师，主要研究方向为智能变电站、智能输电
张景超(1974)，男，博士，教授级高级工程师，主要研究方向为电力系统及智能电网
宋宁希(1973)，男，高级工程师，主要研究方向为智能电网技术
基金资助:
国家重点研发计划项目(2016YFB0901705);国家电网公司科技项目(DG71-17-012)

Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy

Rui MA¹(), Xiangjun LI¹^,*(), Wenqi LI², Dongxue GAO², Jingchao ZHANG², Ningxi SONG²

¹ State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems (China Electric Power Research Institute), Haidian District, Beijing 100192, China
² State Grid Henan Electric Power Company, Zhengzhou 450052, Henan Province, China

Received:2020-04-28 Published:2021-02-28 Online:2021-03-12
Contact: Xiangjun LI
Supported by:
National Key Research and Development Program of China(2016YFB0901705);Science and Technology Project of State Grid Corporation of China(DG71-17-012)

摘要/Abstract

摘要：

随着化石能源储量减少和自然环境的恶化，提高电网中可再生能源占比成为未来电网发展的主要目标。考虑储能系统、水电站、光伏电站、风电场以及电网运行的多种约束条件，提出一种储能系统在可再生能源供电区域电网中的协同调度策略，并建立优化调度模型，优化目标函数为区域电网中新能源消纳率和电力外送量最大。为了提高模型求解的准确性，将模型转化成混合整数规划问题进行求解。最后，采用修正的IEEE 9节点系统对所建模型进行仿真验证。

关键词: 可再生能源, 储能系统, 协同调度策略, 混合整数规划

Abstract:

With the decrease of fossil energy reserves and the deterioration of natural environment, increasing the proportion of renewable energy in power grid becomes the main goal of power grid development in the future. Considering the constraints of energy storage systems, hydropower station, photovoltaic power station, wind farm and power grid operation, a cooperative scheduling strategy of energy storage systems in the regional power grid with renewable energy was proposed, and an optimal scheduling model was established. The optimization objective function was the maximum consumption rate of new energy and the output in the regional power grid. In order to improve the accuracy, the model was transformed into a mixed integer linear programming problem to solve. Finally, a modified IEEE 9-node system was used for simulation verification.

Key words: renewable energy, energy storage system, cooperative scheduling strategy, mixed integer linear programming

中图分类号:

TK01
TM734

马锐, 李相俊, 李文启, 高冬学, 张景超, 宋宁希. 可再生能源供电区域电网中储能系统协同调度策略[J]. 发电技术, 2021, 42(1): 31-39.

Rui MA, Xiangjun LI, Wenqi LI, Dongxue GAO, Jingchao ZHANG, Ningxi SONG. Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy[J]. Power Generation Technology, 2021, 42(1): 31-39.

图/表 7

图1 有功功率流向示意图

Fig.1 Diagram of active power flow

图2 修改的IEEE 9节点系统

Fig.2 Modified IEEE 9-node system

图3 风电、光伏及负荷功率曲线 Load为负载；WIND1, 2分别为风电场1、2的发电功率；PV为光伏电站的发电功率。

Fig.3 Curves of Wind, PV and Load power

图4 可再生能源调度计划曲线 ESS为储能系统充放电功率；Load为负载；Hyd为水电机组的输出功率；WIND1, 2分别为风电场1、2的发电功率；C-WIND1, 2分别为风电场1、2的弃风功率；PV和C-PV分别为光伏电站的发电功率和弃光功率；Ext为区域电网的电力外送量。

Fig.4 Scheduling plan curve of renewable energy

图5 系统节点电压分布

Fig.5 System node voltage distribution

图6 储能系统功率曲线

Fig.6 Power curves of energy storage systems

图7 储能系统SOC曲线

Fig.7 SOC curves of energy storage systems

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可再生能源供电区域电网中储能系统协同调度策略

Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy

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