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A Model for Wind Turbines Placement Within a Distribution Network Acquisition Market

机译:风力涡轮机在配电网收购市场中的布局模型

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摘要

This paper proposes an innovative exhaustive search method for the optimal placement of wind turbines (WTs) in electrical distribution systems taking into account wind speed and load demand uncertainty, and the variability of electrical energy prices within a distribution network operator (DNO) acquisition market environment. The method combines Monte Carlo simulation (MCS) and market-based optimal power flow (OPF) to maximize the net present value (NPV) related to the investment made by WTs' developers over a planning horizon. In particular, the MCS data feed the market-based OPF problem with inter-temporal constraints in order to find the most convenient WTs allocation and priority on the network, based on distribution-locational marginal prices (D-LMPs) in a competitive electricity market. The effectiveness of the proposed method is demonstrated with an 84-bus 11.4-kV radial distribution system.
机译:本文提出了一种创新的穷举搜索方法,该方法考虑了风速和负载需求的不确定性以及配电网运营商(DNO)收购市场环境中电能价格的波动性,从而在配电系统中优化了风力涡轮机(WT)的位置。 。该方法结合了蒙特卡洛模拟(MCS)和基于市场的最优潮流(OPF),以最大化与WT开发商在计划范围内进行的投资有关的净现值(NPV)。尤其是,MCS数据基于具有时间跨度约束的基于市场的OPF问题,以便根据竞争性电力市场中的配电区边际电价(D-LMP)找到最方便的WT分配和网络上的优先级。 84总线的11.4kV径向配电系统证明了该方法的有效性。

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