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基于多目标决策分析的智能微电网日前调度模型 被引量:3

A Day-Ahead Dispatching Model of Smart Micro-Grid Based on Multi-Criteria Decision Analysis
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摘要 微电网可通过降低配电网的峰值负荷为关键负荷供电,提高系统供电的可靠性。然而,微电网中除了可再生能源以外还有柴油发电机,柴油发电机会产生废弃物排放污染环境。因此在考虑微电网发电成本和对配电网峰值负荷降低的优点时,还需要考虑到其碳排放的情况,因而研究提出了基于多目标决策分析的智能微电网日前调度模型。在对光伏、柴油发电机、储能电池建立数学模型的基础上,以运营成本最低、峰值时段从配电网购电最少、碳排放最少建立多优化目标,并提出实现因子,利用目标达成规划法建立多目标优化模型。算例仿真验证了所提方法具有通用性,可以在微电网中推广。 Micro-grid can reduce the peak load of distribution network,supply power for key loads and improve the reliability of power supply system.However,in addition to renewable energy,there are diesel generators in the micro-grid.Diesel generators can produce emissions that pollute the environment.Therefore,when considering the advantages of micro-grid power generation cost and peak load reduction of distribution network,it is also necessary to take into account its carbon emissions.This paper presents a dayahead scheduling model for smart micro-grid based on multi-objective decision analysis.Based on the mathematical models of photovoltaic,diesel generators and energy storage batteries,a multi-objective optimization model is established with the lowest operating cost,the smallest power purchase from the distribution network at peak period and the least carbon emissions.The realization factors are put forward,and the multi-objective optimization model is established with the goal-achieving programming method.The method proposed in this paper is universal enough to be implemented in any micro-grid.
作者 李珍珍 周红艳 周冬 LI Zhen-zhen;ZHOU Hong-yan;ZHOU Dong(College of Electrical and New Energy,Three Gorges University,Yichang443000,China;State Grid Hubei Zhongxiang Power Supply Company,Jingmen448000,China)
出处 《电力学报》 2020年第1期46-52,共7页 Journal of Electric Power
基金 国家自然科学基金(61876097).
关键词 微电网 多目标优化 目标达成规划 日前调度 micro-grid multi-objective optimization goal achievement planning day-ahead dispatching
作者简介 李珍珍(1996-),女,硕士研究生,主要研究方向电力系统控制与分析,1206119779@qq.com;周红艳(1972-),女,主要研究方向为电力系统运行与控制,785860675@qq.com;周冬(1993-),男,硕士研究生,主要研究方向为电力系统优化调度,975253010@qq.com。
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