Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System

LANG Yitao; HUANG Meilong; WU Yilin; LIU Xingang; SHEN Feifan

doi:10.3969/j.issn.1008-0198.2025.02.004

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System

更新时间：2025-11-30

- Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System
- Vol. 45, Issue 2, Pages: 30-35(2025)
- 作者机构：
  
  1. 中电建新能源集团股份有限公司山东分公司,山东,济南,250000
  2. 湖南大学电气工程学院,湖南,长沙,410082
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1008-0198.2025.02.004
  CLC： TM73TM615.2
- Published Online：30 April 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
郎益涛, 黄美珑, 吴沂林, 刘心刚, 沈非凡. 光伏配储系统多场景优化调度策略研究[J]. 湖南电力, 2025, 45(2): 30-35.

LANG Yitao, HUANG Meilong, WU Yilin, et al. Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System[J]. 2025, 45(2): 30-35.
郎益涛, 黄美珑, 吴沂林, 刘心刚, 沈非凡. 光伏配储系统多场景优化调度策略研究[J]. 湖南电力, 2025, 45(2): 30-35. DOI： 10.3969/j.issn.1008-0198.2025.02.004.

LANG Yitao, HUANG Meilong, WU Yilin, et al. Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System[J]. 2025, 45(2): 30-35. DOI： 10.3969/j.issn.1008-0198.2025.02.004.

摘要

针对光伏配储系统在电力市场多场景调度中的耦合问题

提出一种多场景优化调度策略。首先

基于光伏出力的不确定性分析

构建储能平抑光伏波动的模型。其次

结合电价不确定性

提出储能系统参与电力市场的调度策略。最后

通过多时间尺度的优化调度框架

综合考虑平抑光伏波动、电能量市场收益和调频市场收益的目标

优化储能系统的充放电计划。仿真结果表明

所提出的策略能够有效平抑光伏波动

并在电能量和调频市场中实现经济收益的最大化。具体而言

储能系统在平抑光伏波动的同时

通过低储高发的策略在电能量市场中获利

并在调频市场中提供灵活的辅助服务

显著提升了系统的经济性和稳定性。

Abstract

In order to solve the coupling problem of PV distribution and storage system in multi-scenario scheduling in power market

a multi-scenario optimal scheduling strategy is proposed. Firstly

based on the uncertainty analysis of photovoltaic output

a model of energy storage to stabilize photovoltaic fluctuations is constructed. Secondly

combined with the uncertainty of electricity price

the scheduling strategy of energy storage system to participate in the power market is proposed. Finally

through the optimal scheduling framework of multiple time scales

the charging and discharging plan of the energy storage system is optimized by comprehensively considering the goals of stabilizing photovoltaic fluctuations

electric energy market income and frequency modulation market income. The simulation results show that the proposed strategy can effectively stabilize the fluctuation of PV and maximize the economic benefits in the electric energy and frequency modulation markets. Specifically

the energy storage system not only stabilizes the fluctuation of photovoltaic

but also makes a profit in the electric energy market through the strategy of low storage and high generation

and provides flexible auxiliary services in the frequency modulation market

which significantly improves the economy and stability of the system.

关键词

Keywords

references

谭景洋,蒋晓艳,焦乾致,等. 储能技术平抑光伏出力波动研究综述[J]. 电力学报,2023,38(5):389-396.

张静. 光伏发电与风力发电并网技术及其应用研究[J]. 光源与照明,2024(12):104-106.

李相俊,王上行,惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术,2017,41(10):3315-3325.

代宇涵,刘春,周朋,等.双碳背景下电力系统储能技术的应用与研究进展[J]. 储能科学与技术,2024,13(8):2772-2774.

马伟,王玮,吴学智,等. 光储协调互补平抑功率波动策略及经济性分析[J]. 电网技术,2018,42(3):730-737.

王海波,杨秀,张美霞. 平抑光伏系统波动的混合储能控制策略[J]. 电网技术,2013,37(9):2452-2458.

马伟,王玮,吴学智,等. 平抑光伏并网功率波动的混合储能系统优化调度策略[J]. 电力系统自动化,2019,43(3):58-66.

杨子龙,宋振浩,潘静,等. 分布式光伏/储能系统多运行模式协调控制策略[J]. 中国电机工程学报,2019,39(8):2213-2220,4.

张继红,冀伟成. 基于改进遗传算法的光伏系统储能优化配置[J]. 中国测试,2021,47(1):160-168.

陈泽西,孙玉树,张妍,等. 考虑风光互补的储能优化配置研究[J]. 电工技术学报,2021,36(增刊1):145-153.

李健,李雪峰,张娜,等. 计及储热备用效益的电热综合能源系统优化调度模型[J].电网技术,2021,45(10):3851-3859.

黄南天,包佳瑞琦,蔡国伟,等. 多主体联合投资微电网源-储多策略有限理性决策演化博弈容量规划[J]. 中国电机工程学报,2020,40(4):1212-1225,1412.

关立,周蕾,刘航航,等. 独立储能电站参与电力现货市场机制及试运行分析[J]. 中国电力,2022,55(10):185-190.

姜欣,刘萌,王天梁,等. 电网侧储能电站参与现货联合市场的竞价策略[J]. 电网技术,2021,45(9):3398-3408.

王凯,延肖何,蒋凯,等. 考虑碳交易的风光储场站参与电力现货市场报价策略与调控方法[J]. 中国电机工程学报,2023,43(18):7091-7103.

许高秀,王旭,邓晖,等. 考虑调频需求及风光出力不确定性的储能系统参与能量-调频市场运行策略[J]. 电网技术,2023,47(6):2317-2330.

黄杨,胡伟,闵勇,等. 考虑日前计划的风储联合系统多目标协调调度[J]. 中国电机工程学报,2014,34(28):4743-4751.

DING H J,PINSON P,HU Z C,et al.Integrated bidding and operating strategies for wind-storage systems[J]. IEEE Transactions on Sustainable Energy,2016,7(1):163-172.

王浩浩,陈嘉俊,朱涛,等. 计及储能寿命与调频性能的风储联合投标模型及算法[J]. 电网技术,2021,45(1):208-217.

匡生. 电力市场环境下储能电站运营策略研究[D]. 南京:东南大学,2020.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Scheduling Method of Active Distribution Network Considering Source-Load Bilateral Uncertain Boundary

Optimal Scheduling of Distributed Generation System for Kitchen Waste Treatment Plant Based on Model Predictive Control

Photovoltaic Output Prediction Without Surface Irradiance Based on Weighted Similarity Meteorological Search

Ahead Optimal Dispatch of Multi Energy Power System Considering Power Flexibility and Complementarity

Related Author

RUI Shuling

AI Zishuo

WEN Yujie

XIA Tianyu

NIU Huan

LIU Hongyi

LUO Zhenzhen

ZUO Xiaoyun

Related Institution

State Grid Qingdao Power Company

School of Automation, Central South University

State Grid Ningxiang Power Supply Company, Ningxiang

Hunan Renhe Environment Company Limited

College of Electrical and Electronic Engineering, Chongqing University of Technology

AI问答

⁰