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Optimal pricing algorithm to suppress voltage rise caused by reverse load flow in power distribution grid

机译:功率分布电网反向负载流导致抑制电压升高的最佳定价算法

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This paper deals with an optimal pricing problem in a day-ahead electricity market to suppress voltage rise caused by reverse load flow in power distribution grid. Each consumer who has a PV system determines the amount of power consumption and selling electricity to maximize their own profit, and generator acts the same to determine the amount of power generation. However, much selling electricity causes voltage rise in distribution power grid. Therefore, this paper proposes reactive power market to give consumers an incentive to supply reactive power by Power Conditioning System. Reactive power market is modeled players, consumer, grid operator, and market. In this paper, the dual decomposition is applied to each market problem to maximize the social welfare based on selfish behavior of consumer and generator. Next, we propose an algorithm using Steepest Decent Method in order to solve each distributed problem, in addition, we show the convergence of the algorithm using Lyapunov stability theorem. Finally, simulation results show that the proposed algorithm levels power load keeping system voltage within proper value.
机译:本文对一天的电力市场进行了最佳定价问题,以抑制电力分布电网中反向负载流引起的电压上升。拥有光伏系统的每个消费者决定了功耗和销售电力的量,以最大限度地提高自己的利润,并且发电机采用相同的发电量来确定发电量。然而,大量销售电力导致分配电网的电压上升。因此,本文提出了无效的电力市场,使消费者通过功率调节系统提供电动功率的动力。无功电力市场是建模的播放器,消费者,电网运营商和市场。在本文中,将双重分解应用于每个市场问题,以基于消费者和发电机的自私行为来最大化社会福利。接下来,我们提出了一种使用速度体积方法的算法,以解决每个分布式问题,此外,我们使用Lyapunov稳定性定理显示算法的收敛性。最后,仿真结果表明,所提出的算法电源负载在适当的值内保持系统电压。

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