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A mixed integer SDP approach for the optimal placement of energy storage devices in power grids with renewable penetration

机译:混合整数SDP方法可在可再生能源渗透中优化储能设备在电网中的位置

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In power networks, Energy Storage Systems (ESS) can help to cope with intermittent availability of renewable sources. However, fixed, maintenance, and operating costs are a critical aspect that must be considered in the positioning and sizing of these devices. This paper addresses the problem of placing storage devices in order to achieve an Optimal Power Flow (OPF) in presence of renewable sources. The problem is addressed formulating a Mixed Integer Semidefinite Program (MI-SDP) that takes into account energy production and ESS costs. While this approach provides a solution that does not guarantee a physical meaning, this latter is recoverable from the dual solution of the MI-SDP with fixed storage devices locations. The approach is demonstrated on the IEEE 14 and 30 bus benchmark systems where power demand, renewable generation profiles and costs have been taken from real data.
机译:在电力网络中,储能系统(ESS)可以帮助应对可再生能源的间歇性供应。但是,固定,维护和运行成本是这些设备的定位和尺寸确定中必须考虑的关键方面。本文解决了在存在可再生资源的情况下放置存储设备以实现最佳潮流(OPF)的问题。解决了制定混合整数半定程序(MI-SDP)的问题,该程序考虑了能源生产和ESS成本。尽管此方法提供的解决方案不能保证物理意义,但可以从具有固定存储设备位置的MI-SDP的双重解决方案中恢复后者。该方法已在IEEE 14和30总线基准测试系统上进行了演示,该系统的功耗,可再生能源发电量和成本均来自真实数据。

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