考虑经济成本的微电网调度运行

Dispatching Operation of Micro-grids Considering Economic Cost

为提高微电网经济运行水平,首先以微电网发电成本最小为目标,考虑微电网运行实际约束条件,将蜂群算法运用到并网状态下的微电网经济调度模型中;其次,将对立学习策略初始化种群,改善初始种群质量,同时将Metropolis准则引入蜂群算法,提高跳出局部最优解的概率;最后,以并网状态下的微电网为例,比较未改进蜂群算法与改进蜂群算法优化结果。结果表明,改进蜂群算法的调度方案降低了微电网的日调度综合成本,同时验证了所改进算法在求解微电网调度优化问题上的有效性与优越性。

In order to improve economic operation level of the micro-grid, firstly, with the aim of minimizing its generation cost, under consideration of its actual operation constraints, the bee colony algorithm was applied to the economic dispatch model of the micro-grid under the condition of grid connection. Secondly, the opposite learning strategy was used to initialize the population and improve the quality of initial population. In the meantime, the Metropolis criterion was introduced into the bee colony algorithm so as to raise the probability of jumping out of local optimal solution. Finally, taking the micro-grid in grid connected status as example, optimization results of the unimproved bee colony algorithm and the improved bee colony algorithm were compared. The results indicated that the dispatch scheme of the improved bee colony algorithm reduced the comprehensive cost of daily dispatch of the micro-grid, and verified the effectiveness and superiority of the improved algorithm in solving micro-grid dispatch optimization.