电气技术  2017, Vol. 18 Issue (9): 15-18    DOI:
研究与开发 |
基于粒子群算法的主动配电网经济优化调度
解玖霞
东营职业学院,山东 东营 257000
Economic Optimization Scheduling of Active Power Distribution Network based on Particle Swarm Optimization Algorithm
Xie Jiuxia
Dongying Vocational Institute, Dongying, Shangdong 257000
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摘要 针对分布式能源接入配电网的经济调度问题,本文在考虑光伏、风能、燃气轮机及蓄电池等分布式能源接入配电网的基础上,建立以配电网总成本最小为目标函数的主动配电网的经济优化调度模型,并将粒子群算法用于该调度问题的求解,最后通过算例仿真验证调度的优化性,大大提高了电网经济效益。
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解玖霞
关键词 主动配电网经济调度配电网成本粒子群算法    
Abstract:In allusion toeconomic dispatch problem of distributed energy access to power distribution network, considering the photovoltaic, wind energy, gas turbine and battery,this paperestablish aneconomic optimization scheduling model, which objective function is minimum total cost of the active power distribution network. Use Particle Swarm Optimizationalgorithm to solve the dispatch problem. Finally, by an example policy to validate the optimization of economic dispatch, and improve the economic benefit of power grid.
Key wordsactive power distribution network    economic dispatch    power cost    particle swarm optimization   
     出版日期: 2017-09-20
作者简介: 解玖霞(1968-),工程师,研究领域为数学及其教学研究。
引用本文:   
解玖霞. 基于粒子群算法的主动配电网经济优化调度[J]. 电气技术, 2017, 18(9): 15-18. Xie Jiuxia. Economic Optimization Scheduling of Active Power Distribution Network based on Particle Swarm Optimization Algorithm. Electrical Engineering, 2017, 18(9): 15-18.
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https://dqjs.cesmedia.cn/CN/Y2017/V18/I9/15