基于改进多目标狼群算法的微电网调度优化

发布时间：2018-01-20 09:17

本文关键词： 多目标微电网狼群算法调度非支配排序　出处：《电子技术应用》2017年11期 　论文类型：期刊论文

【摘要】：为获得微电网系统建设成本、环境成本和运行成本的多重目标优化,以构建系统独立运行模块和仿真模块为核心,设计了微电网系统的多目标调度模型。使用能量模块对微电网调度模型的建设成本、环境成本和运行成本指标进行评价,优化调度算法模块则使用基于个体密度多目标狼群算法(Multi-objective wolf colony algorithm,MOWCA)。在MOWCA算法中引入了非支配排序和个体密度多样性保持操作,有效提高了多目标优化的前沿分布多样性和收敛精度。将所提优化调度算法基于Docker容器技术,对风柴蓄光微电网系统进行调度优化模拟,验证了所提调度算法在多重目标优化上的有效性。
[Abstract]:In order to obtain the multi-objective optimization of the construction cost, environmental cost and operation cost of the micro-grid system, the core of this paper is to construct the independent operation module and simulation module. The multi-objective dispatching model of microgrid system is designed, and the energy module is used to evaluate the construction cost, environmental cost and operation cost index of the micro-grid dispatching model. The optimal scheduling algorithm module uses multi-objective wolf colony algorithm based on individual density. In the MOWCA algorithm, non-dominated sorting and individual density diversity preservation operations are introduced. The diversity of forward distribution and convergence accuracy of multi-objective optimization are improved effectively. Based on Docker container technology, the optimal scheduling simulation of wind-chai light storage microgrid system is carried out. The effectiveness of the proposed scheduling algorithm in multi-objective optimization is verified.
【作者单位】：云南电网有限责任公司信息中心应用技术部;昆明理工大学冶金与能源工程学院;
【基金】：国家自然科学基金(11462010,51469011,51466005)
【分类号】：TM73;TP18
【正文快照】： 0引言微电网在现代电力中得到不断应用推广,如何获得微电网构建和运行成本经济性、环境效益最大化是非常有价值的研究方向[1-2]。而传统针对大型发电机的调度优化策略无法适应微电网复杂多目标属性。进化计算方法具有优秀全局优化性能,但初始点对算法收敛效果影响很大。文献[3

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