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Combined Monte Carlo simulation and OPF for wind turbines integration into distribution networks

机译:结合了蒙特卡洛模拟和OPF,将风力涡轮机集成到配电网络中

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In this paper, a probabilistic method to evaluate the impact of wind turbines (WTs) integration into distribution systems within a market environment is proposed. Combined Monte Carlo simulation (MCS) technique and market-based optimal power flow (OPF) are used to maximize the social welfare considering different combinations of wind generation and load demand over a year. MCS is used to model the uncertainties related to the stochastic nature of wind and the volatility of WTs' offers. The market-based OPF is solved by using step-controlled primal dual interior point method considering network constraints. The method is conceived for distribution network operators (DNOs) in order to evaluate the effect of WTs integration into the grid. The effectiveness of the proposed method is demonstrated with an 84-bus 11.4kV radial distribution system.
机译:在本文中,提出了一种概率方法来评估风力涡轮机(WTs)集成到市场环境中的配电系统中的影响。考虑到一年中风力发电和负荷需求的不同组合,结合使用了蒙特卡洛模拟(MCS)技术和基于市场的最佳潮流(OPF)以最大化社会福利。 MCS用于对与风的随机性和WTs报价的波动性相关的不确定性进行建模。基于市场的OPF通过考虑网络约束的分步控制原始双内点法解决。该方法是为配电网络运营商(DNO)设计的,目的是评估WT集成到网格中的效果。 84线11.4kV径向配电系统证明了该方法的有效性。

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