摘要
为了在计及电能替代的情况下进行配电系统规划,首先,考虑电油替代、电煤替代、电气替代等各类潜力用户的技术情况,构建多主体自驱优决策的配电网扩展规划博弈模型,形成“扩展规划-市场交易-替代决策”的闭环决策链条;然后,分别介绍考虑运行控制的配电系统运营商规划模型和多元电能替代潜力用户经济用能模型,形成计及综合电能替代的配电网扩展规划双层模型,并提出模型的求解方法;最后,选取改进的IEEE 33节点配电系统进行分析,该方法能减少约30%的总成本,兼顾了应对负荷增长的灵活性以及多主体的互动性。结果表明该方法有效提高了应对负荷增长的运行裕度,避免了二次规划造成的用电可靠性降低,是面向双碳目标的配电网规划新方法。
In order to plan distribution system under the background of electric energy substitution,firstly considering the technical situation of various potential users such as electric oil substitution,electric coal substitution,electric gas substitution,a game model of distribution network expansion planning with multi-agent self-drive optimal decision-making is constructed,and a closed-loop decision-making chain of“expansion planning-market transaction-substitution decision”is formed.Then,the distribution system operator planning model considering operation control and the economic energy consumption model of users with multiple electric energy substitution potential are introduced respectively.A two-layer model of distribution network expansion planning including comprehensive electric energy substitution is formed,and the solution method of the model is proposed.Finally,an improved IEEE 33-node distribution system is selected for analysis.This method can reduce the total cost by about 30%,taking into account the flexibility to cope with load growth and multi-agent interaction.The results show that this method can effectively improve the operating margin to cope with the load growth and avoid the reduction of power reliability caused by the secondary programming.It is a new method of distribution network planning for the two-carbon target.
作者
周章斌
曹涛
戚振彪
陈曦
荣建
阮祥勇
ZHOU Zhangbin;CAO Tao;QI Zhenbiao;CHEN Xi;RONG Jian;RUAN Xiangyong(Hefei Power Supply Company,State Grid Anhui Electric Power Co.,Ltd.,Hefei 230022,China)
出处
《电力需求侧管理》
2024年第5期70-75,共6页
Power Demand Side Management
基金
国网安徽省电力有限公司科技项目(5212A0220002)。
关键词
电能替代
配电网
扩展规划
市场交易
驱优决策
electric energy substitution
distribution network
expansion planning
market transactions
driving decision