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Optimal scheduling of active distribution networks with energy storage systems considering environmental cost

机译:考虑环境成本的带有能量存储系统的主动配电网的优化调度

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Along with the increasingly serious environmental issues, besides economic efficiency, much attention is paid to the environmental aspects in the daily dispatch of active distribution networks (ADN). This paper presents a comprehensive optimal model to minimize the economic cost and environmental cost. The damage cost from gas emissions and the uncertainty of renewable generations are taken into consideration. The charging and discharging strategy of energy storage systems (ESS) is a focus of the model. The general algebraic modeling system (GAMS) is used to solve this mixed-integer nonlinear problem. A modified 33-bus distribution network including photovoltaic (PV) systems and ESSs is employed to illustrate the effectiveness of the proposed method. Simulation results under different scenarios, with and without PVs/ESSs, show that utilization of charging/discharging strategy of ESSs can decrease the economic cost through peak load shifting. Moreover, increasing the penetration of renewable generations leads to the decrease of total cost.
机译:随着日益严重的环境问题,除了经济效率外,在主动配电网(ADN)的日常调度中,对环境方面也给予了很多关注。本文提出了一种综合的优化模型,以最小化经济成本和环境成本。考虑了气体排放造成的损失成本和可再生能源发电的不确定性。储能系统(ESS)的充电和放电策略是该模型的重点。通用代数建模系统(GAMS)用于解决此混合整数非线性问题。修改后的33总线配电网络包括光伏(PV)系统和ESS被用来说明该方法的有效性。在有和没有PVs / ESS的情况下,不同情况下的仿真结果表明,利用ESS的充电/放电策略可以通过峰值负载转移降低经济成本。此外,增加可再生能源发电的普及率导致总成本的降低。

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