风光火储多源系统参与调峰的分层优化调度研究  

Hierarchical Optimized Scheduling of Multi-source Systems with Wind-Solar-Thermal-Energy Storage Considering Peak Regulation

作　　者：袁浩锋 柯杨 向昆 范李平[2] 马辉[1] 王灿 席磊 YUAN Haofeng;KE Yang;XIANG Kun;FAN Liping;MA Hui;WANG Can;XI Lei(College of Electrical Engineering and New Energy,China Three Gorges University(Intelligent Energy Technology Hubei Engineering Research Center),Yichang 443002,Hubei,China;State Grid Yichang Power Supply Company,Yichang 443002,Hubei,China)

机构地区：[1]三峡大学电气与新能源学院(智慧能源技术湖北省工程研究中心),湖北宜昌443002 [2]国网宜昌供电公司,湖北宜昌443002

出　　处：《水力发电》2025年第5期98-103,共6页Water Power

基　　金：国家自然科学基金资助项目(52377191)。

摘　　要：针对大规模风电、光伏等可再生能源并网造成火电机组调峰困难以及弃风弃光严重的问题,提出利用风光火储多源联合系统参与调峰的分层优化调度策略。首先考虑储能荷电状态与负荷区间,划分调峰工作区域;其次提出在上层模型中引入调峰功率控制策略,在不同负荷区间与不同储能荷电状态组合时构建6种模式下储能参与调峰的充放电功率控制数学模型,协调储能以不同的充放电功率进行出力;然后构建以系统净负荷方差最小为上层目标,并在上层模型中加入调峰功率控制策略以控制储能的出力,系统运行成本最小为下层目标,优化火电机组出力的分层优化调度模型;最后通过IEEE-30节点对比分析所提模型和策略的有效性。仿真结果表明,相比于单层优化模型,采用调峰功率控制策略的分层模型可有效减少弃风弃光量,提高系统的稳定性。In response to the difficulties of regulating the output of coal-fired power plants caused by the large-scale integration of wind power and photovoltaic power,as well as the serious problem of wind and solar power curtailment,a hierarchical optimized scheduling strategy is proposed for the combined system of wind power,photovoltaic power,and thermal power with energy storage.Firstly,the energy storage state of charge(SOC)and load interval is considered,and the working area of peak regulation is divided.Secondly,a peak regulation power control strategy is introduced into the upper-level model,and the charging and discharging power control models in which the energy storage participates in peak regulation are constructed under six modes which are established by different load intervals and energy storage SOC combinations,so as to coordinate the energy storage to perform output with different charge and discharge power.Then,the hierarchical optimization scheduling models for optimizing the output of coal-fired power plants are established,with the upper-level objective of minimizing the net load variance and the lower-level objective of minimizing the system operating cost,and adding the peak regulation power control strategy into upper-level model to control the output of energy storage.Finally,the effectiveness of the proposed models and strategy is analyzed through a comparative analysis of the IEEE-30 node system.The simulation results show that,compared with the single-layer optimization model,the hierarchical models with peak regulation power control strategy can effectively reduce the curtailment of wind and solar power and improve system stability.

关 键 词：风光火储系统 储能荷电状态 调峰功率控制 可再生能源消纳 优化调度 分层优化 

分 类 号：TM61[电气工程—电力系统及自动化]