基于遗传算法的热电联产型微网经济运行优化  

Genetic algorithm based economic operation optimization of a combined heat and power microgrid

作　　者：陈洁[1] 杨秀[1] 朱兰[1] 张美霞[1] 

机构地区：[1]上海电力学院,上海200090

出　　处：《电力系统保护与控制》2013年第8期7-15,共9页Power System Protection and Control

基　　金：国家863高技术基金项目(2011AA05A106);国家自然科学基金(50977055);上海市科委重点科技攻关计划(10dz1203100;11dz1210405);曙光计划(10SG51);上海高等教育"085"工程建设项目资助~~

摘　　要：为了准确分析无功对经济调度的影响,在考虑微源同时提供有功和无功功率的基础上,建立了计及制热收益的热电联产型微网系统经济运行优化模型。以一个包含风、光、储、微型燃气轮机、燃料电池以及热电负荷的具体微网为例,提出了并网和孤网运行方式下的调度策略。在保证敏感负荷供电可靠性的基础上,运用改进遗传算法优化了各微源的有功和无功出力,并对比分析了两种运行方式下一天内蓄电池的充放电次数、系统综合运行成本以及节点电压波动。通过算例验证了所提模型、策略和算法的有效性。To accurately analyze the impact of reactive power on economic dispatch, an optimization model of economic operated CHP microgrid system considering heating income is established. The microsources can provide both active and reactive power in the model. A typical microgrid consisting of wind turbine, photovoltaic, storage battery, micro turbine, fuel cell, heating and electric loads is selected, and economic dispatch strategies of microgird for both islanded and grid-connected modes are presented. Based on power supply reliability of sensitive loads being ensured, the improved genetic algorithm is chosen to optimize active and reactive output of microsources. The storage battery charge and discharge times, microgrid comprehensive operation costs and node voltage fluctuations in one day are comparatively analyzed for the two operation modes. The validity of the proposed model, dispatch strategy and algorithm is proved by the examples.

关 键 词：微网 经济运行 改进遗传算法 热电联产 调度策略 网架结构 

分 类 号：TM611[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]