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Market Clearing and Settlement Using Participant Based Distributed Slack Optimal Power Flow Model for a Double Sided Electricity Auction Market - Part II

机译:双向电力拍卖市场中基于参与者的分布式松弛最优潮流模型的市场清理和结算-第二部分

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摘要

Even though non-linear Optimal Power Flow model proposed in part I of this paper provide accurate results there are difficulties in solving a full non-linear Optimal Power Flow model since it is a very time consuming. Due to speed and robustness, Linear Programming model is preferred by the system operators for nodal price calculations. It is a challenge to incorporate transmission losses into the losses linear DC power model. In this paper to model line flow operating limit inequality constraint a lossless Participant Based Distributed Slack DC Power Flow model is derived from Newton-Raphson state correction scheme used in part I of this work. An equivalent lumped linear model for the Participant Based Distributed Slack Lumped Nonlinear Optimal Power Flow model called Participant Based Distributed Slack Lumped Linear Optimal Power Flow model is developed in part II of this paper. The results for market clearing and settlement of double sided electricity market by the proposed lumped linear model are compared with the nonlinear model proposed in part I of this work using case studies on PJM system, IEEE 30 bus system and IEEE 118 bus system. The results obtained indicate the speed and robustness of the proposed linear model.
机译:尽管本文第一部分中提出的非线性最优潮流模型提供了准确的结果,但由于要花费大量时间,因此很难求解完整的非线性最优潮流模型。由于速度和鲁棒性,线性运算模型是系统运营商首选的节点价格计算。将传输损耗纳入损耗线性直流电源模型是一个挑战。在本文中,为了对线路流量运行极限不等式约束进行建模,从本文第一部分中使用的牛顿-拉夫森状态校正方案推导了基于无损参与者的分布式松弛直流潮流模型。在本文的第二部分中,开发了基于参与者的分布式松弛集总非线性最优潮流模型的等效集总线性模型。通过对PJM系统,IEEE 30总线系统和IEEE 118总线系统的案例研究,将所提出的集总线性模型用于双面电力市场的市场清算和结算结果与本工作的第一部分中提出的非线性模型进行了比较。获得的结果表明了所提出线性模型的速度和鲁棒性。

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