摘要
针对高比例新能源渗透到配电网中如何进行灵活调度的问题,研究含有常规电源与间歇性新能源配电网的日前协同优化调度,使电网在满足约束条件的同时可以保证成本最低化、电网的碳排放最小化并使得光伏消纳能力最大化。利用多目标粒子群算法进行模拟调度,采用分层调度模型,考虑各种约束,并以改进IEEE30节点系统为例,进行不同场景下的仿真,从而验证调度模型的合理性。
In order to solve the problem of flexible scheduling with a high proportion of new energy penetrating into the distribution network,this paper studies the day-ahead cooperative optimal scheduling of the distribution network containing conventional power supply and intermittent new energy,which can ensure the minimum cost,minimize the carbon emission of the grid and maximize the photovoltaic absorption capacity while meeting the constraint conditions.Multi-objective particle swarm optimization(PSO)is used to simulate scheduling,hierarchical scheduling model is adopted,various constraints are considered,and the improved IEEE30-node system is taken as an example to simulate different scenarios,so as to verify the rationality of the scheduling model.
作者
李成龙
田有文
苗洁
LI Chengong;TIAN Youwen;MIAO Jie(College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang 110866,China;State Grid Jinzhou Electric Power Supply Company,Jinzhou Liaoning 121000,China)
出处
《农业科技与装备》
2023年第6期63-66,共4页
Agricultural Science & Technology and Equipment
关键词
农村电气化
新能源消纳
优化调度
粒子群
rural electrification
new energy consumption
optimized scheduling
particle swarm
