风光储联合系统输出功率滚动优化与实时控制

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Abstract In order to improve the characteristic of wind-photovoltaic-storage hybrid system and reduce the compensation pressure of battery energy station, a coordinated optimal control strategy is presented, which consists of online rolling optimization and active power real-time control. The aim of online rolling optimization module is to minimize the average power deviation and charge-discharge times of battery energy station and maximize the residual capacity of battery energy station in the end of optimization through non-dominated sorting genetic algorithm(NSGA)-Ⅱ algorithm. A minute level of scheduling plan is given by this module. Active power real-time control part consists of wind/photovoltaic trimming scheduling power module and battery energy station real-time control module. The aim of wind/photovoltaic trimming scheduling power module is to balance the excess scheduling plan based on real-time wind speed and illumination intensity. Dynamic power output limit is given in battery energy station real-time control module to improve its ability to deal with wind/photovoltaic ramping. Simulation shows the proposed strategy can effectively reduce the average power deviation of hybrid system and improve the hybrid system’s ability to track scheduling plan under the minimum charge-discharge times of battery station.

Key words： Wind-photovoltaic-storage hybrid system online rolling optimization non-dominated sorting genetic algorithm-Ⅱ wind/photovoltaic trimming scheduling power ramping

Received: 03 January 2014 Published: 05 November 2014

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	Qi Yongzhi
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Qi Yongzhi,Liu Yutian. Output Power Rolling Optimization and Real-Time Control in Wind-Photovoltaic-Storage Hybrid System[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 265-273.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I8/265

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