面向区域电网光伏调峰的火光储系统优化调度

应浩天; 何旭; 樊玉新; 谢玉荣; 祝培旺; 肖刚

doi:doi:10.19912/j.0254-0096.tynxb.2024-1401

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面向区域电网光伏调峰的火光储系统优化调度

更新时间：2025-12-02

- 面向区域电网光伏调峰的火光储系统优化调度
- Vol. 46, Issue 6, Pages: 49-57(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1401
  CLC： TM61
- Published Online：07 July 2025，
  
  Published：2025
- 稿件说明：
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应浩天, 何旭, 樊玉新, et al. 面向区域电网光伏调峰的火光储系统优化调度[J]. 2025, 46(6): 49-57.
DOI：

应浩天, 何旭, 樊玉新, et al. 面向区域电网光伏调峰的火光储系统优化调度[J]. 2025, 46(6): 49-57. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1401.

摘要

针对某油田区域电网中高比例光伏装机下传统机组调峰困难的问题

结合光伏发电特性与电厂不同机型机组的运行特性

提出一种面向区域电网光伏调峰的火光储系统调度策略。首先

基于光伏日前功率概率预测掌握光伏发电的分布情况

基于实际数据建立启停调峰机组的数学模型。然后

建立上层优化模型

以系统的等效净负荷波动最小为目标求解机组启停调峰阶段的最优调度;下层模型基于火光储多能互补系统各单元的动力学特性

以系统调度周期内运行经济性最优为目标建立求解模型。最后

基于随机优化方法

通过Matlab调用CPLEX求解器对系统调度进行不确定优化。算例结果显示

使用该调度策略后

系统的弃光率和运行成本分别下降32.91%和19.95%

说明所提调度策略能有效提高该区域电网对光伏的消纳能力

降低系统的运行成本。

Abstract

Aiming at the problem of difficult peak-shaving of traditional units under high proportion of photovoltaic installation in a regional power grid of an oil field

this paper proposes a scheduling strategy of thermal-PV-storage system for photovoltaic peak-shaving in regional power grids by combining the characteristics of photovoltaic power generation and the operating characteristics of units of different types in power plants. Firstly

the distribution of photovoltaic power generation is mastered based on the probabilistic forecasting of photovoltaic power day-ahead

and a mathematical model of the start-stop peak-shaving units is established based on actual data. Then

an upper-level optimization model is established to solve the optimal scheduling of the start-stop peak-shaving stage of the unit with the goal of minimizing the fluctuation of the equivalent net load of the system; the lower-level model is based on the dynamic characteristics of each unit of the thermal-PV-storage multi-energy complementary system

and the solution model is established with the goal of optimizing the operating economy within the system scheduling cycle. Finally

based on the stochastic optimization method

the system scheduling is optimized by calling the CPLEX solver through Matlab. The calculation results show that after using this scheduling strategy

the system's photovoltaic energy curtailment ratio and operating cost are decreased by 32.91% and 19.95% respectively

indicating that the proposed scheduling strategy can effectively improve the regional power grid's photovoltaic absorption capacity and reduce the system's operating cost.

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