长周期大范围风电消纳的电力电量联合优化模型与应用

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长周期大范围风电消纳的电力电量联合优化模型与应用

更新时间：2025-08-13

- 长周期大范围风电消纳的电力电量联合优化模型与应用
- Automation of Electric Power Systems Vol. 39, Issue 18, Pages: 145-150(2015)
- 作者机构：
  
  南京工程学院经济与管理学院,江苏省,南京市,211167
- 作者简介：
- 基金信息：
- DOI：
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- Published：2015
- 稿件说明：
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LIU Qiuhua. [J]. Automation of electric power systems, 2015, 39(18): 145-150.
DOI：

LIU Qiuhua. [J]. Automation of electric power systems, 2015, 39(18): 145-150. DOI：

摘要

为解决目前中国面临的风电消纳难题

提出利用多元发输电资源在年度、月度等长时间周期

以及在跨区跨省等更大范围协调消纳

可提升风电等清洁能源的消纳水平。建立以系统运行成本最小为目标的长周期大范围风电消纳的电力电量联合优化模型

解决了时段耦合的电力电量联合优化建模

多元发电、发输电协调优化建模等长周期优化的关键问题

通过混合整数规划加以求解

实现了长周期大范围风电消纳的定量决策。利用某区域电网的电力系统实际算例对模型进行测试

算例分析表明

模型能够在长周期协调优化不同类型的发电机组与输电线路

提升风电消纳水平。

Abstract

In order to solve wind power accommodation problem in China

this paper proposes to take advantage of clean energy’s long-term seasonal fluctuation characteristics over annual or monthly period

or to utilize the complementary nature of power supply and load characteristics in different regions. By building power and energy joint optimization model for long-term large-range wind power accommodation to minimize system operating costs

key problems like temporal-coupling power and energy joint optimization modelling problem

multi-generation

generation and transmission coordinative optimization modelling problem are solved. In addition

quantified decision making for long-term large-range wind power accommodation is achieved by using mixed integer programming (MIP). The model is tested with a practical example of a regional grid power system. The numerical example shows that the model can coordinately optimize different types of generating units and transmission lines in a long period

and improve the accommodation level of wind energy. This work is supported by National Natural Science Foundation of China (No. 51477157) and State Grid Corporation of China (No. DZN17201400039).

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