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Decentralized Power Curtailment Control Using Real-Time Pricing Strategy for PV Generation Plants with Storage and its Experimental Verification

机译:实时定价策略的带储能光伏电站分布式功率削减控制及实验验证

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In order to solve environmental issue and energy crisis, PV (photovoltaic) generation has experienced the most growth among the renewable energy sources in the last few years, and the interconnection capacity of PV generation may continue to increase. However, the more recently special problem in Japan, the capacity of qualified PV generation facilities exceeds the allowable interconnection capacity determined by each power grid company. This fact is recognized as a critical issue for reliable operations of power grids, and it will be enforced by law that the power grid company can announce the output power curtailment instruction signal to the PV generation plants. An output power curtailment essentially means wasting potential solar energy. Operating methodologies for the PV generation plant that can reduce the amount of wasted energy are needed to be developed. This paper considers the PV generation plant equipped with the battery storage and investigates decentralized control method of multiple PCSs (power conditioning systems) which are used to interconnect PV and storage system into the grid. The proposed decentralized management methodology consists of the real-time pricing strategy by the operator of the PV generation plant and distributed decision making by each PCS. We have developed an experimental environment which assumes the PV generation plant with battery storage having 2 MW total capacity. The effectiveness of the proposed methodology is evaluated through the real physical experiments.
机译:为了解决环境问题和能源危机,近几年来,光伏(光伏)发电经历了可再生能源增长最快的时期,并且光伏发电的互联能力可能会继续增加。但是,在日本最近出现的一个特殊问题是,合格的光伏发电设施的容量超过了每个电网公司确定的允许的互连容量。这个事实被认为是电网可靠运行的关键问题,并且将由法律强制执行,电网公司可以向光伏发电站宣布削减功率指令信号。减少输出功率实质上意味着浪费潜在的太阳能。需要开发可减少能源浪费量的光伏发电厂的运行方法。本文考虑了配备电池储能装置的光伏发电工厂,并研究了用于将光伏和储能系统互连到电网中的多个PCS(功率调节系统)的分散控制方法。拟议的分散管理方法包括光伏电站运营商的实时定价策略和每个PCS的分布式决策。我们已经开发了一个实验环境,该环境假设PV发电站的电池存储总容量为2 MW。通过实际的物理实验评估了所提出方法的有效性。

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