Genetic algorithm based economic operation optimization of a combined heat and power microgrid
Genetic algorithm based economic operation optimization of a combined heat and power microgrid
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发表时间：
2013
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通讯作者：
Zhang Meixia
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作者：
Zhang Meixia
为了准确分析无功功率对经济调度的影响，建立了考虑供热收入的经济运行热电联产微网系统优化模型。微源可以同时提供有功和无功功率。选取了典型的由风力发电机组、光伏发电机组、蓄电池、微发电机组、燃料电池机组、供热负荷和电力负荷组成的微电网，提出了孤岛模式和并网模式下的微电网经济调度策略。在保证敏感负荷供电可靠性的前提下，采用改进的遗传算法对微源的有功输出和无功输出进行优化。对比分析了两种运行模式下蓄电池充放电次数、微网综合运行成本和节点一天电压波动情况。通过算例验证了该模型、调度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.