摘要
针对现有电网多目标调度模型未对智能化电网电源的能耗和出力情况进行分析而导致调度成本较高等问题,提出一种基于反馈控制的智能化电网多目标协同调度模型。优先分析智能化电网中电源的能源消耗和出力使用情况,利用反馈控制策略制定电网运行约束条件;同时,将最低经济成本和最小环境污染度作为目标函数,构建智能化电网多目标协同调度模型。采用改进粒子群算法对调度模型进行求解,最终获得最佳的协同调度方案。经实验测试,所提模型不仅能够有效降低调度成本,而且提升了环境污染系数,降低了对环境的影响程度。
The existing multi-objective dispatching model of power grids fails to analyze the energy consumption and output of intelligent power grid,resulting in a higher dispatching cost.Therefore,a multi-objective cooperative dispatching model of the intelligent power grid based on feedback control is proposed in this paper.Priority is given to analyzing the energy consumption and output utilization of the power supply in the intelligent power grid,and the grid operation constraints are formulated by using the feedback control strategy.At the same time,taking the minimum economic cost and minimum environmental pollution as the objective function,a multi-objective collaborative dispatching model of intelligent power grid is constructed.The improved particle swarm optimization algorithm is used to solve the scheduling model,and finally the best cooperative scheduling scheme is obtained.The experimental results show that the proposed model can effectively reduce the scheduling cost,improve the environmental pollution coefficient and reduce the impact on the environment.
作者
薛国清
XUE Guoqing(Department of Equipment Engineering Shanxi Vocational University of Engineering Science and Technology,Jinzhong 030619,Shanxi,China;Harbin Institute of Technology,Harbin 150006,Heilongjiang,China)
出处
《电网与清洁能源》
北大核心
2022年第2期42-47,共6页
Power System and Clean Energy
基金
山西省自然科学基金项目(2006021107)。
关键词
反馈控制
智能化电网
多目标协同调度模型
改进粒子群算法
feedback control
intelligent power grid
multiobjective coordinated dispatching model
improved particle swarm algorithm