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首页> 外文期刊>Applied Energy >Design of structured control policy for shared energy storage in residential community: A stochastic optimization approach
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Design of structured control policy for shared energy storage in residential community: A stochastic optimization approach

机译：住宅群落共享能源储存结构控制政策的设计：随机优化方法

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摘要

For energy storage shared by multiple residential consumers who are using electricity based on time-varying price and equipped with solar photovoltaic panels, this study is motivated to design an efficient control policy that allows individual consumers to determine operational decisions to realize economic and feasible energy sharing. Although shared energy storage has been considered a promising and practical solution for sharing energy, a proper control policy is required for realizing the expected benefits and advantages of energy sharing via shared energy storage because of the stochastic nature of fluctuated electricity demand load, intermittent solar power generation, and time-varying electricity price in addition to the complex dynamics existing in consumers' behavior. This study intends to design a structured control policy that is uniquely designed to allow consumers to share energy with energy cost-saving and less solar power spillage. We develop a mathematical optimization model that can be formulated to efficiently find the designed control policy. Numerical experiments are conducted by simulating the derived control policy using real historical data comprising 14 residential houses in New York and 11 residential houses in Texas. Through the numerical experiments, we validate the feasibility and evaluate the performance of the proposed control policy to demonstrate the practicality. The results of the numerical experiments show that the proposed control policy enables consumers to cost-efficiently share energy while efficiently utilizing solar power generation to meet their electricity demand load without the excessive use of electricity from the grid to save energy costs.
机译：对于利用基于时变价格的多个住宅消费者共享的能量存储，这项研究有动力设计有效的控制政策，使个人消费者能够确定经济和可行能源共享的运营决策。虽然共享的能量存储被认为是共享能源的有希望和实用的解决方案，但由于波动电力需求负荷的随机性，间歇性太阳能，所以通过共用储能来实现能量共享的预期利益和优势所需的适当控制政策。除了消费者行为中存在的复杂动态之外，代表和时变电价。本研究打算设计一种结构化控制政策，旨在允许消费者与能源节省节省和太阳能溢出的消费者共享能源。我们开发了一种数学优化模型，可以配制以有效地找到设计的控制策略。通过在德克萨斯州德克萨斯州纽约和11家住宅的14家住宅的真正历史数据模拟衍生的控制政策进行数值实验。通过数值实验，我们验证了可行性和评估拟议控制政策的性能，以证明实用性。数值实验的结果表明，该拟议的控制政策使消费者能够在有效利用太阳能发电的同时能够高效地共享能源，以满足其电力需求负载，而不会过度使用来自电网的电力以节省能源成本。

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