摘要
为解决高比例新能源接入电网所带来的弃风弃光问题,针对高渗透率新能源电力系统,提出一种考虑火力发电深度调峰与新能源消纳的优化调度模型。该模型优化目标是系统调度总成本最小,包括火力发电机组运行成本、深度调峰补偿、风光储运行成本以及弃风弃光惩罚成本。通过调用CPLEX求解器对5台火力发电机组、1个风电场、1个光伏电站和1个储能电站组成的电力系统进行优化调度求解,并针对储能调峰与火力发电深度调峰进行分析。结果表明,高比例新能源接入电网,会导致明显的弃风弃光问题,但接入储能电站,可以降低弃风弃光率,降低系统综合运行成本;仅靠储能调峰容易增加储能电站的建设费用,而加入火力发电深度调峰可降低储能配置容量,有效提高新能源消纳能力,且调峰深度越大,弃风弃光率越小,系统综合运行成本越小。
In order to solve the problem of abandoning wind and photovoltaic power under a high proportion of new energy integration,an optimal model of a power system with new energy consumption and deep peak regulation is established.The optimization objective of this model is the smallest system operating cost,including the operation cost of thermal power units,compensation of deep peak regulation of thermal power unit,operation cost of wind-photovoltaic-energy storage,and penalty cost of abandoned wind and photovoltaic power.CPLEX solver is utilized to obtain the optimal scheduling model of a power system with five thermal power units,one wind farm,one photovoltaic plant,and one energy storage power station.The peak regulation of energy storage and thermal power units is analyzed.The results show that the high proportion of new energy integration easily leads to the phenomenon of abandoned wind and photovoltaic power,but the energy storage power station can decrease the ratio of abandoned wind and photovoltaic power and reduce the system operating cost.However,relying solely on energy storage for peak shaving can easily increase the construction cost of energy storage power stations.Deep peak regulation of thermal power units can reduce the capacity of energy storage configuration and improve new energy consumption.Greater depth of peak shaving leads to a lower ratio of abandoned wind and photovoltaic power and the system operating cost.
作者
刘科
张利孟
孟令彤
刘恩生
王太
宋文浩
LIU Ke;ZHANG Limeng;MENG Lingtong;LIU Ensheng;WANG Tai;SONG Wenhao(State Grid Shandong Electric Power Research Institute,Jinan 250003,China;College of New Energy,China University of Petroleum(East China),Qingdao 266580,China;Huadian Power International Technical Service Center,Jinan 250014,China;School of Energy Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,China)
出处
《山东电力技术》
2025年第1期62-71,共10页
Shandong Electric Power
基金
国网山东省电力公司电力科学研究院自主研发项目“储能运行对电网碳减排作用量化分析研究”(ZY-2023-05)。
关键词
弃风弃光
优化调度
储能电站
深度调峰
abandon wind and photovoltaic power
optimal scheduling
energy storage power station
deep peak regulation
