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微电网多微源能量优化协调控制

DOI: 10.13334/j.0258-8013.pcsee.2015.S.005, PP. 36-43

Keywords: 预测策略,微电网,滚动时域,经济运行优化

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Abstract:

该文在风储荷互补微电网拓扑结构的基础上,提出一种基于预测框架的微电网能量协调优化方法,以完成能量分配的协调控制并提高微电网运行的经济利益。首先,对风储荷微电网模型中的风力发电机和蓄电池微源建立能满足实际约束的外特性数学模型。然后,通过考虑实时电价、风功率值以及负荷状态,构建微电网运行费用最小目标函数,基于预测的滚动时域优化控制框架,根据预测结果利用复杂过程全局优化进化算法对微网系统预测时域内每个时刻的控制量进行滚动最优求解。通过对蓄电池充放电状态和与电网间的电能交易值进行预估,实现基于预测的滚动时域控制框架下的微网经济最优协调控制方案。仿真结果表明,该方案能够充分发挥滚动时域优化与复杂过程全局优化进化算法的优势,有效保证微网中各子系统之间动态交互,实现微网各组成部分之间能量协调控制和经济优化,合理降低微网运行成本,从而验证所提方法的正确性和可行性。

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