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Community Energy Storage-based Energy Trading Management for Cost Benefits and Network Support

机译:社区能源存储的能源交易管理成本效益和网络支持

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In this paper, the extent to which the integration of rooftop photovoltaic (PV) power with a community energy storage (CES) system can reduce energy cost and distribution network (DN) loss is explored. To this end, three energy trading systems (ETSs) are compared; first, an ETS where PV users exchange energy with the CES system in addition to the grid, second, an ETS where PV users merely exchange energy with the CES system, and third, an ETS where PV users only exchange energy with the grid. A multi-objective optimization framework, combined with a linear distribution network power flow model, is developed to study the trade-off between the energy cost and network power loss reductions while satisfying the DN voltage and current flow limits. Simulations, with real energy demand and PV power data, highlight that enabling the energy exchange between the users and the CES system can give a better trade-off between the DN power loss and energy cost reductions. Further, simulations demonstrate that all three ETSs deliver nearly 85% DN energy loss reduction with significantly increased revenues compared to an ETS without a CES system.
机译:在本文中,屋顶光伏(PV)功率与社区能量存储(CES)系统的程度可以降低能源成本和分配网络(DN)损失。为此,比较了三种能量交易系统(ETS);首先,除了电网外,PV用户与CES系统交换能量的ETS,第二,PV用户仅利用CES系统交换能量,第三,PV用户仅与网格交换能量的ETS的ETS,其中PV用户的ETS交换。多目标优化框架与线性分配网络电流模型组合,开发了在满足DN电压和电流流量限制的同时研究能量成本和网络功率损耗的折衷。仿真,具有实际能量需求和光伏电量数据,突出显示用户和CES系统之间的能量交换可以在DN功率损耗和能源降低之间提供更好的权衡。此外,模拟表明,与没有CES系统的ETS相比,所有三个ETS都能提供近85%的DN能量损失减少,并且与ETS相比,收入显着增加。

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