• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2023, Vol. 44 ›› Issue (3): 138-147.doi: 10.12204/j.issn.1000-7229.2023.03.014

• 新能源发电 • 上一篇    下一篇

平抑高比例新能源发电功率波动的风-光-储容量最优配比

魏韡1(), 范越2(), 谢睿1(), 白珈于1(), 梅生伟1()   

  1. 1.电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京市100084
    2.国家电网有限公司西北分部,西安市 710048
  • 收稿日期:2022-06-12 出版日期:2023-03-01 发布日期:2023-03-02
  • 通讯作者: 魏韡(1985),男,博士,副教授, 主要研究方向为运筹学与能源系统优化运行,E-mail:wei-wei04@mails.tsinghua.edu.cn
  • 作者简介:范越(1970),男,博士,教授级高级工程师,主要从事电网技术及管理方面的研究工作,E-mail:fanyue_1970@163.com;
    谢睿(1996),女,博士,主要研究方向为电力系统优化规划,E-mail:xie_rui1996@163.com;
    白珈于(1996),女,博士研究生,主要研究方向为电力系统优化调度,E-mail:bai_jiayu01@163.com;
    梅生伟(1964),男,博士,教授,主要研究方向为电力系统非线性控制、复杂系统理论、工程博弈论、可再生能源调度、清洁储能技术,E-mail:meishengwei@mail.tsinghua.edu.cn
  • 基金资助:
    国家重点研发计划(2021YFB2400701);国家电网有限公司科技项目(SGNW0000FGJS2200126)

Optimal Ratio of Wind-Solar-Storage Capacity for Mitigating the Power Fluctuations in Power System with High Penetration of Renewable Energy Power Generation

WEI Wei1(), FAN Yue2(), XIE Rui1(), BAI Jiayu1(), MEI Shengwei1()   

  1. 1. State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment(Department of Electrical Engineering, Tsinghua University), Beijing 100084, China
    2. Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
  • Received:2022-06-12 Online:2023-03-01 Published:2023-03-02
  • Supported by:
    National Key Research and Development Program of China(2021YFB2400701);State Grid Corporation of China Science and Technology Project(SGNW0000FGJS2200126)

摘要:

发展新能源是应对环境污染和能源危机的根本性措施,有助于推动“双碳”目标的实现。可再生能源发电固有的间歇性、波动性给电网规划和运行带来严峻挑战。针对高比例新能源电力系统,分析了以最小功率波动为目标的新能源和储能容量最佳配比。立足风光资源的互补性,构建了最小化系统功率波动的风光最优配比模型,并提出了基于线性规划的求解算法。最后建立了面向平滑新能源出力的储能容量配置参数线性规划模型,得到波动性指标关于储能容量的解析表达式,并根据成本确定了最优储能容量。所提方法为政策制定提供了可视化工具以及比单一最优解更加丰富的信息。

关键词: 可再生能源, 储能, 容量配比, 参数规划, 分式规划

Abstract:

The development of renewable energy is a fundamental measure to resolve environmental pollution and energy crisis, and achieve the carbon peaking and carbon neutrality goals. However, the inherent volatility and fluctuation of renewable energy output bring unprecedented challenges to the planning and operation of the power grid. This paper studies the optimal ratio of renewable energy and energy storage, aiming to minimize power fluctuation. According to the complementary nature of wind and solar resources, the mode of optimal ratio of wind and solar power that leads to minimal power fluctuation is established and is further transformed into linear programming. The optimization problem of energy storage capacity aiming to smooth the renewable energy output is formulated as a multi-parameter linear program, where storage charging power and energy capacities are parameters. The power fluctuation index is expressed as an analytical function in storage parameters, which is convex and piecewise linear. On the basis of the fluctuation index function, the optimal storage capacities can be determined according to the costs. The proposed method provides an illustrative tool and more abundant information for policy and decision-making.

Key words: renewable energy, energy storage, capacity ratio, parametric programming, fractional programming

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