基于改进GA含蓄电池充电次数约束的微电网动态调度

Dynamic dispatching for microgrid with storage battery charging-discharging times constraint based on improved GA

针对独立微电网的动态优化调度问题,以微电网系统运行约束、可控微源出力特性约束及蓄电池运行约束作为微电网优化模型的约束条件,考虑蓄电池充放电转换次数约束,建立以独立微电网运行经济成本与环境成本为综合优化目标的动态优化调度模型;然后,采用一种基于Tent混沌映射技术与NDX交叉策略的改进遗传算法求解该模型;最后,通过仿真算例验证模型的合理性。结果表明,优化调度模型中供热/电可靠性水平与综合成本间呈近似线性关系,合理限制蓄电池充放电转换次数有利于降低综合成本。与其他算法的对比结果表明,改进遗传算法在求解该类复杂的多约束优化问题时收敛效果良好。

For the problem optimal dispatching of stand-alone microgrid, a dynamic optimal dispatching model is constructed to minimize the comprehensive cost involving economic cost and environmental cost with considering microgrid optimal model conditions including the system operating constraints,output characteristic constraints of controlled micro sources and operating constraints of storage batteries. Then,an improved genetic algorithm（ GA） based on a Tend maps chaos population initialization technique and NDX crossover strategy is proposed. Finally the rationality of mentioned model is verified by the simulation examples. The results showed that approximate linear relationship is shown between the comprehensive cost and the heating/electric reliability level in the research model,as well that the reasonable limitations of storage batteries charging-discharging transforming times helps reducing the comprehensive cost. Meanwhile,the improved GA algorithm has a good performance on convergence speed and precision compared withothers algorithms including conventional GA,self-adaptive PSO and DE.