摘要
如何妥善管理微电网内部可再生能源和储能的运行,实现微电网经济、环境效益的最大化是微电网重要的研究课题。本文以最小化微电网运行成本为目标,综合考虑功率平衡、储能寿命等约束条件。首先分析实时电价制定了基于贪心算法的经济调度策略。然后针对多种约束条件,提出了基于粒子群算法的经济调度策略,采用对目标函数添加惩罚项和对粒子速度、位置更新方式进行限制,迫使模型在迭代计算的过程中始终在可行域内寻优。算例结果表明,本文所提方法具有较好的可行性和有效性。
How to properly manage the operation of renewable energy and energy storage within the microgrid and maximize the economic and environmental benefits of the microgrid is an important research topic of the microgrid.In this paper,constraints such as power balance and energy storage life are taken into consideration to minimize the operation cost of microgrid.Firstly,an economic dispatching strategy based on greedy algorithm is developed based on real-time electricity price analysis.Then,an economic scheduling strategy based on Particle Swarm Optimization(PSO)is proposed for various constraints.By adding penalty terms to the objective function and limiting the updating methods of particle velocity and position,the model is forced to search for optimization within the feasible region in the iterative calculation process.The results of numerical examples show that the method proposed in this paper is feasible and effective.
作者
陈名扬
刘敏
余登武
CHEN Mingyang;LIU Min;YU Dengwu(The Electrical Engineering College,Guizhou University,Guiyang 550025,China;State Grid Chongqing Electric Power Company Wanzhou Power Supply Branch,Chongqing 404100,China)
出处
《智能计算机与应用》
2021年第10期101-106,共6页
Intelligent Computer and Applications
基金
国家自然科学基金(51967004)
贵州省科技计划项目(黔科合支撑[2021]一般409)
关键词
微电网
储能寿命
贪心算法
粒子群算法
经济调度
惩罚项
micro power grid
energy storage life
greedy algorithm
Particle Swarm Optimization
economic dispatching
penalty term
作者简介
陈名扬(1995-),男,硕士研究生,主要研究方向:电力市场、新能源消纳;余登武(1997-),男,硕士研究生,主要研究方向:非侵入式负荷分解、智能用电研究、深度学习。通讯作者:刘敏(1972-),女,博士,教授,硕士生导师,主要研究方向:电力系统分析、电力系统优化、电力市场,Email:ee.mliu@gzu.edu.cn
