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首页> 外文期刊>IEEE Transactions on Power Systems >Network-Aware Demand-Side Management Framework With A Community Energy Storage System Considering Voltage Constraints
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Network-Aware Demand-Side Management Framework With A Community Energy Storage System Considering Voltage Constraints

机译:具有考虑电压约束的社区能量存储系统的网络感知需求侧管理框架

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This paper studies the feasibility of integrating a community energy storage (CES) system with rooftop photovoltaic (PV) power generation for demand-side management of a neighbourhood while maintaining the distribution network voltages within allowed limits. To this end, we develop a decentralized energy trading system between a CES provider and users with rooftop PV systems. By leveraging a linearized branch flow model for radial distribution networks, a voltage-constrained leader-follower Stackelberg game is developed wherein the CES provider maximizes revenue and the users minimize their personal energy costs by trading energy with the CES system and the grid. The Stackelberg game has a unique equilibrium at which the CES provider maximizes revenue and the users minimize energy costs at a unique Nash equilibrium. A case study, with realistic PV power generation and demand data, confirms that the energy trading system can reduce peak energy demand and prevent network voltage excursions, while delivering financial benefits to the users and the CES provider. Further, simulations highlight that, in comparison with a centralized system, the decentralized energy trading system provides greater economic benefits to the users with less energy storage capacity.
机译:本文研究了将社区能量存储(CES)系统与屋顶光伏(PV)发电集成的可行性,以便在允许的限制范围内保持分配网络电压的同时进行邻域的需求侧管理。为此,我们在CES提供商和具有屋顶PV系统的用户之间开发分散的能源交易系统。通过利用用于径向分配网络的线性化分支流模型,开发了一种电压约束的领导者 - 跟随器堆栈比赛,其中CES提供商最大化收入,并且用户通过与CES系统和电网进行能量来最小化其个人能源成本。 Stackelberg游戏具有独特的均衡,CES提供商最大化收入,并且用户在独特的纳什平衡下最小化能源成本。一个案例研究,具有现实的PV发电和需求数据,确认能源交易系统可以降低峰值能源需求并防止网络电压偏移,同时为用户和CES提供商提供经济利益。此外,仿真突出显示,与集中式系统相比,分散的能源交易系统对具有较少能量存储容量的用户提供了更大的经济效益。

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