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Optimal planning and operation of energy storage systems in radial networks for wind power integration with reserve support

机译:径向网络中用于储能的风电集成的储能系统的最佳规划和运行

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Though energy storage system (ESS) is a promising approach to alleviate the variability of non-dispatchable wind power and other forms of renewable energy sources, its high investment cost has impeded its wide deployment. Aiming at exploiting the arbitrage benefit of ESS in reserve market and raising revenue of shareholders, this study explores the optimal planning and operation of ESS in radial networks. Besides load balancing, ESS is used to provide three kinds of operating reserve services in presence of high wind power penetration, including spinning reserve, upward and downward regulation reserves. In light of the capacity limitation of ESS, the time duration of reserve provision has been taken into account. In the proposed model, unit commitment and AC optimal power flow (AC-OPF) are combined together over sequential time series to find the optimal location and size of ESSs. In order to reduce the computational complexity, the extended model of AC-OPF is adopted to convert the problem into a mixed-integer second-order cone programming. Numerical studies on the IEEE 34-bus distribution test feeder are used to investigate the effects of ESS with respect to various penetration levels of wind power and load scales.
机译:尽管储能系统(ESS)是减轻不可分风力发电和其他形式的可再生能源的可变性的有前途的方法,但是其高昂的投资成本阻碍了其广泛应用。为了充分发挥ESS在储备市场的套利优势,提高股东收益,探索了ESS在径向网络中的最优规划和运行。除负载平衡外,ESS还用于在风电渗透率较高的情况下提供三种运行备用服务,包括旋转备用,上下调节备用。鉴于环境与社会标准的能力限制,已考虑到储备金的持续时间。在提出的模型中,单位承诺和交流最佳功率流(AC-OPF)在顺序时间序列上组合在一起,以找到ESS的最佳位置和大小。为了降低计算复杂度,采用AC-OPF扩展模型将问题转换为混合整数二阶锥规划。 IEEE 34总线配电测试馈线的数值研究用于研究ESS对风能和负荷规模的各种渗透水平的影响。

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