基于弃光消纳的光储系统容量优化配置研究

任荣荣; 谢丽蓉; 徐波丰; 郑浩; 王凯丰

doi:10.13568/j.cnki.651094.651316.2020.10.17.0001

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基于弃光消纳的光储系统容量优化配置研究

工程技术 | 更新时间：2026-01-21

- 基于弃光消纳的光储系统容量优化配置研究
- 基于弃光消纳的光储系统容量优化配置研究
- 新疆大学学报（自然科学版中英文） 2021年38卷第5期页码：632-640
- 作者机构：
  
  1. 新疆大学可再生能源发电与并网技术教育部工程研究中心电力系统及发电设备控制和仿真国家重点实验室风光储分室
  2. 特变电工新疆新能源股份有限公司
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目（51667021）;新疆维吾尔自治区区域协同创新专项（科技援疆计划）（2018E02072）;新疆维吾尔自治区高校科研计划自然科学重点项目（XJEDU2020I004）
- DOI：10.13568/j.cnki.651094.651316.2020.10.17.0001
  中图分类号： TM73
- 纸质出版：2021
- 稿件说明：
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[1]任荣荣,谢丽蓉,徐波丰,等.基于弃光消纳的光储系统容量优化配置研究[J].新疆大学学报(自然科学版)(中英文),2021,38(05):632-640.
[1]任荣荣,谢丽蓉,徐波丰,等.基于弃光消纳的光储系统容量优化配置研究[J].新疆大学学报(自然科学版)(中英文),2021,38(05):632-640. DOI： 10.13568/j.cnki.651094.651316.2020.10.17.0001.

DOI：10.13568/j.cnki.651094.651316.2020.10.17.0001.

摘要

光伏具有波动性强、可控性弱的特点

以及电力需求分布不平衡

易造成弃光问题

对电网可靠稳定运行带来了严峻的挑战.为了缓解弃光现象

本文提出基于光储系统的光伏消纳策略.该策略以光伏消纳为优先原则

将光储联合火电厂满足负荷供电需求;其次

制定储能系统充放电状态框架;最后

针对光储系统容量优化配置问题

构建光储系统日内最大净收益目标函数模型

采用鲸鱼算法优化储能容量.最后以新疆某光伏电站和火电厂为例进行算例分析

仿真结果验证了鲸鱼算法在该模型求解中具有优越性

并且所提策略能够达到弃光消纳目的.

Abstract

Photovoltaic has the characteristics of strong volatility and weak controllability

which causes serious problem of photovoltaic power curtailmentposes

and it is a severe challenge to the reliable and stable operation of the power grid. In order to alleviate the phenomenon of photovoltaic power curtailment

firstly

a photovoltaic consumption strategy based on the optical storagesystem is proposed. This strategy takes photovoltaic consumption as the priority principle

and introduces solar storage combine thermal power plants to meet the load power supply demand; Secondly

formulate a framework for the charging and discharging state of the energy storage system;Finally

to optimize the configuration of the solar storage system capacity

the maximum net capacity of the solar storage system Revenue objective function model is built

and the energy storage capacity is optimized. This paper takes a photovoltaic power plant and a thermal power plant in Xinjiang as an example to analyze. The simulation results verify the superiority of the whale algorithm in solving the model

and the proposed strategy can achieve the purpose of photovoltaic power curtailment consumption.

关键词

Keywords

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