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Power utilization strategy in smart residential community using non-cooperative game considering customer satisfaction and interaction

机译:考虑客户满意度和互动的非合作博弈的智能住宅社区用电策略

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The development of smart grids and photovoltaic (PV) generation has led to the popularization and access of distributed PV energy among residential communities. However, the interactions among residential customers significantly affect the power utilization strategy of PV consumption. To encourage customers to participate in PV consumption, this study proposes an optimal smart power utilization model by using a non-cooperative game for a residential community with distributed PV energy. First, a benefit maximization model for distributed PV energy is established to determine an optimal PV output. Second, according to the consumption habits and load curves of residential customers, a power utilization model of community customers is built considering electricity consumption satisfaction by performing clustering analysis. Finally, a non-cooperative game model is built for the PV power supplier and customers in the community. A Nash equilibrium point is also obtained based on the balance between the maximum benefit of PV power and the minimum electricity bills for customers. This approach is useful to encourage customers to consume PV energy in local areas. The case studies indicate that the proposed model can be applied to achieve the maximum benefit of PV power; furthermore, it allows customers to meet their own needs while reducing their electricity payments.
机译:智能电网和光伏(PV)发电的发展已导致分布式光伏能源在居民社区中的普及和使用。但是,居民用户之间的相互作用会极大地影响光伏消费的电力利用策略。为了鼓励客户参与光伏消费,本研究通过为分布式光伏能源的居民社区使用非合作游戏,提出了一种最佳的智能电力利用模型。首先,建立分布式光伏能源的利益最大化模型,以确定最佳的光伏输出。其次,根据居民用户的消费习惯和负荷曲线,通过聚类分析建立了考虑用电满意度的社区用户用电模型。最后,为社区中的光伏发电供应商和客户建立了一个非合作博弈模型。根据光伏发电的最大收益与客户的最低电费之间的平衡,还可以获得纳什均衡点。这种方法对于鼓励客户在当地消耗光伏能源很有用。案例研究表明,所提出的模型可用于实现光伏发电的最大收益。此外,它还可以使客户满足自己的需求,同时减少电费支出。

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