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Distributed receding-horizon optimal operation in multi-microgrids considering both grid-connected and autonomous modes

机译:考虑并网和自主模式的多微电网分布式水平后退优化运行

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With the large-scale development of microgrids-(MGs), adjacent area could formulate multi-microgrids (MMGs) due to the mutual connection and supply, stimulating the problem about efficient and economic operation in multi-microgrids and becoming one of the pivotal technologies. This paper presents distributed predict optimal operation algorithm and control strategies considering the situation of grid integration and stand alone for the multi-microgrids with series structure. As for the operation when the multi-micgrids is connected, we take time-sharing price into consideration for maximum benefit while we comprehensively premeditate the rate and time of load power supply to satisfy the users' demands in autonomous situation. Based on sources and loads prediction, we build economy optimal objective function in every layer of multi-microgrids, uniting the central controller of every sub-microgrid to realize the receding-horizon optimal operation. Case study results verify the feasibility and better economy of the proposed method.
机译:随着微电网的大规模发展,相邻区域由于相互连接和供应,可以形成多微电网,刺激了多微电网高效经济运行的问题,成为关键技术之一。 。本文提出了考虑电网集成情况的分布式预测最优运行算法和控制策略,并针对具有串联结构的多微电网独立运行。对于连接多台微电网的操作,我们考虑分时共享价格以实现最大收益,同时全面预判负载供电的速率和时间,以满足用户在自治情况下的需求。基于源和负荷预测,我们在多微电网的每一层中建立经济最优目标函数,联合每个亚微电网的中央控制器,以实现水平后退优化运行。案例研究结果验证了该方法的可行性和更好的经济性。

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