储能参与新能源消纳的优化控制策略

doi:10.11930/j.issn.1004-9649.202110107

中国电力 ›› 2023, Vol. 56 ›› Issue (3): 137-143.DOI: 10.11930/j.issn.1004-9649.202110107

• 储能系统控制策略研究 • 上一篇下一篇

储能参与新能源消纳的优化控制策略

刘联涛¹, 刘飞¹, 吉平², 林伟芳², 张祥成¹, 田旭¹, 高菲²

1. 国网青海省电力公司经济技术研究院，青海西宁 810008;
2. 中国电力科学研究院有限公司，北京 100192

收稿日期:2021-10-29 修回日期:2023-01-20 出版日期:2023-03-28 发布日期:2023-03-28
作者简介:刘联涛(1990-),男,硕士,工程师,从事电网规划设计技术研究,E-mail:317947598@qq.com;刘飞(1988-),男,硕士,高级工程师,从事电网规划及新能源并网发电技术研究,E-mail:liufei602@163.com;吉平(1983-),女,博士,高级工程师,从事新型电力系统总体设计,电力系统稳定与控制研究,E-mail:jiping@epri.sgcc.com.cn
基金资助:
国网青海省电力公司科技项目（ETB11202104170）。

Research on Optimal Control Strategy of Energy Storage for Improving New Energy Consumption

LIU Liantao¹, LIU Fei¹, JI Ping², LIN Weifang², ZHANG Xiangcheng¹, TIAN Xu¹, GAO Fei²

1. Economic and Technological Research Institute of State Grid Qinghai Electric Power Company, Xining 810008, China;
2. China Electric Power Research Institute, Beijing 100192, China

Received:2021-10-29 Revised:2023-01-20 Online:2023-03-28 Published:2023-03-28
Supported by:
This work is supported by Science and Technology Project of State Grid Qinghai Electric Power Company (No.ETB11202104170).

摘要/Abstract

摘要： 在中国提升新能源消纳能力、助力碳达峰碳中和目标实现的背景下，提出了一种基于解耦的储能参与新能源消纳的优化控制方法。针对储能系统优化控制非线性模型求解难题，提出了基于解耦的线性简化方法，利用枚举优化和迭代潮流计算结合方法，建立了满足提升新能源消纳目标和电网安全运行约束的储能运行紧致约束条件。算例测试显示，基于解耦的线性简化模型与原有非线性模型保持一致，降低了高阶优化控制模型的求解难度，保障了储能提升新能源消纳的快速可靠决策，提升了新能源和储能综合运行效益。

关键词: 储能, 新能源消纳, 优化控制, 枚举优化

Abstract: To achieve the carbon peak and neutrality goals by improving the new energy consumption, a decoupling based optimal control method of energy storage is proposed. For the problem of solving the nonlinear model of optimal control, a linearization and simplification method based on decoupling is presented. Using the enumeration optimization and iterative load flow, the constraint of energy storage operation is compacted, which guarantees the objective of new energy consumption promotion and operation security constraints. The case analysis shows that the simplified linear model is consistent with the original nonlinear model and the difficulty of solving the high-order optimal control model is reduced. It ensures the fast and reliable decision of energy storage to promote the new energy consumption, and increases the comprehensive benefits of new energy and energy storage.

Key words: energy storage, new energy consumption, optimal control strategy, enumeration optimization

刘联涛, 刘飞, 吉平, 林伟芳, 张祥成, 田旭, 高菲. 储能参与新能源消纳的优化控制策略[J]. 中国电力, 2023, 56(3): 137-143.

LIU Liantao, LIU Fei, JI Ping, LIN Weifang, ZHANG Xiangcheng, TIAN Xu, GAO Fei. Research on Optimal Control Strategy of Energy Storage for Improving New Energy Consumption[J]. Electric Power, 2023, 56(3): 137-143.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110107

https://www.electricpower.com.cn/CN/Y2023/V56/I3/137

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储能参与新能源消纳的优化控制策略

Research on Optimal Control Strategy of Energy Storage for Improving New Energy Consumption

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