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Distributed Risk-Limiting Load Restoration for Wind Power Penetrated Bulk System

机译:风电穿透散装系统的分布式风险限制负荷恢复

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This article proposes a new distributed risk-limiting load restoration scheme for wind power penetrated interconnected bulk systems. The conditional value-at-risk (CVaR) is used as the risk-limiting index. The projection function based alternating direction method of multipliers algorithm (P-ADMM) is used to decouple the CVaR integrated load restoration model into a distributed form. With the proposed algorithm, the risk-limiting constraints are decomposed and the complex non-convex load restoration model with the CVaR is transformed into small-scale scenario-based QP problems. The distributed risk-limiting load restoration scheme respects the individual decision-making of regional grids and reduces the security violation risk of the interconnected bulk system under uncertain conditions. The CVaR integrated P-ADMM method can efficiently reduce the computation complexity of the load restoration optimization for the uncertain bulk system without loss of optimality. The effectiveness of the proposed method was validated using the IEEE-118 bus system connected with thirty IEEE-33 bus systems.
机译:本文提出了一种用于风电穿透互连散装系统的新的分布式风险限制负荷恢复方案。条件值 - 风险(CVAR)用作风险限制指标。基于乘法机算法(P-ADMM)的投影功能的交流方向方法用于将CVAR集成负载恢复模型解析为分布式形式。利用所提出的算法,风险限制约束是分解的,并且将复杂的非凸载恢复模型与CVAR转换为基于小型场景的QP问题。分布式风险限制负荷恢复方案尊重区域网格的各个决策,并降低了不确定条件下互连散装系统的安全违规风险。 CVAR集成P-ADMM方法可以有效地降低不确定散装系统的负载恢复优化的计算复杂性,而不会损失最优性。使用与30个IEEE-33总线系统连接的IEEE-118总线系统验证了所提出的方法的有效性。

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