基于排序交叉优化算法的智能微电网调度研究

Smart Micro-grid Scheduling Based on Sequencing Cross-optimization Algorithm

分布式可再生能源具有出力不稳定等问题,导致智能微电网的经济效益与环保效益较差,为此研究基于排序交叉优化算法的智能微电网调度。根据分布式电源与储能装置的运行特性建立其数学模型,为智能微电网多目标调度提供理论基础,以智能微电网运行成本和排污、治污花费最小为目标,构建多目标调度模型,基于排序交叉优化算法求解模型,实现各机组出力的优化调度。以某地冬季典型日为例,获取智能微电网负荷数据展开算例分析,结果显示采用所设计方法调度后微电网的运行与排污、治污总成本节约了46.25%,说明该调度方法具有经济与环保效益优化的效果。

Instability of power output of distributed renewable energy sources leads to economic and environmental inferiorities of smart micro-grids.In view of this,the present study focused on the use of sequencing cross-optimization algorithm for the scheduling of smart micro-grid.The distributed sources and energy storage devices were first mathematically modeled,which provides a theoretical basis for multi-objective scheduling.Then the scheduling model was established with the objectives of minimizing operational cost and pollution emission/treatment costs,and was solved using the sequencing cross-optimization algorithm,thereby realizing optimal scheduling of all individual units.Finally a case analysis using micro-grid load data obtained on a typical day in winter showed that the proposed method can achieve a reduction of 46.25%in total cost of micro-grid operation and pollution emission/treatment,and facilitate optimization of economic and environmental benefits.