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Stochastic locational marginal price calculation in distribution systems using game theory and point estimate method

机译:基于博弈论和点估计法的配电系统随机位置边际价格计算

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This study presents a new stochastic method to estimate the locational marginal price (LMP) in the distribution networks containing distributed generation (DG). In the proposed method, LMP at each bus is calculated according to the contribution of the DG to the reduced amount of loss and emission. An iterative algorithm which is based on the game theory is proposed to allocate the loss and emission reduction among DG units. Also, a stochastic framework based on the point estimate method is considered to capture uncertainty in the market price and load demand. The proposed policy will provide a robust state estimation tool for distribution companies in the next step of operation. The state estimation tool provides the decision maker with the ability to exert its control over private DG units when loss and emission are minimised. The performance of the proposed algorithm is tested on a realistic distribution network in the deterministic and stochastic frameworks. The obtained results are encouraging.
机译:这项研究提出了一种新的随机方法来估计包含分布式发电(DG)的配电网络中的边际价格(LMP)。在提出的方法中,根据DG对减少的损耗和排放量的贡献来计算每条母线的LMP。提出了一种基于博弈论的迭代算法,在DG单元之间分配损耗和减排量。此外,考虑了基于点估计方法的随机框架来捕获市场价格和负荷需求的不确定性。拟议的政策将为下一步运营中的配电公司提供强大的状态估计工具。状态估计工具为决策者提供了在损失和排放量最小化时对私有DG单位施加控制的能力。该算法的性能在确定性和随机性框架下的实际分布网络上进行了测试。获得的结果令人鼓舞。

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