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Mitigating substation demand fluctuations using decoupled price schemes for demand response

机译:使用解耦价格方案缓解变电站需求波动,以响应需求

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In this paper, we propose a decoupled substation price model with separate charges for base energy production, up/down reserve usages and reserve usage variations. Using the decoupled price scheme, the flexible loads in the distribution system are scheduled to closely follow variations in renewable generation in order to mitigate demand fluctuations in substation. This reduces the need for reserve unit power production, thereby allowing transmission systems to operate at lower cost and higher efficiency. We formulate an optimization problem to determine the optimal scheduling of flexible loads subject to power balance, power flow and demand response constraints. The optimization problem is solvable by computationally efficient linear programming methods. Real-time and day-ahead models are considered. Numerical examples on a modified 13-node test feeder demonstrate the effectiveness of the proposed method.
机译:在本文中,我们提出了一种分离的变电站价格模型,该模型具有针对基础能源生产,上/下储备使用量和储备使用量变化的单独费用。使用解耦价格方案,配电系统中的灵活负载被安排为紧跟可再生发电量的变化,以缓解变电站的需求波动。这减少了对备用电源生产的需求,从而使传输系统能够以较低的成本和更高的效率运行。我们制定了一个优化问题,以确定受功率平衡,潮流和需求响应约束的柔性负载的最佳调度。通过计算有效的线性规划方法可以解决优化问题。考虑实时模型和超前模型。修改后的13节点测试馈线上的数值示例证明了该方法的有效性。

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