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MILP model for volt-var optimization considering chronological operation of distribution systems containing DERs

机译:考虑含有DERS分配系统的时间顺序的Volt-VAR优化MILP模型

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This paper presents a mixed-integer linear programming model for volt-var optimization considering the chronological operation of distribution systems containing distributed energy resources (DERs). The proposed model describes the operation problem of capacitor banks (CBs) and voltage regulators (VRs), and it is further based on the steady-state operation during each time interval contained in typical scenarios of distribution systems. A procedure using a K-means clustering algorithm is used to select the scenarios, thus preserving the simultaneity and chronological combination of different loads and DERs. According to the formulation that we developed, the regulation devices become sensitive to downstream load variations, since we use explicit current variables to control automatic CBs, and since we include means to compensate voltage drops along distribution lines in the control of VRs. The model is validated by comparing the results obtained during several tests of two typical cases with those obtained through nonlinear power flow. The typical case studies presented in the paper highlight the good agreement between the results obtained with the linearized model and with power flow method; further, the practical results confirm that the use of typical scenarios allows representing different levels of loads and DERs, while keeping the validity and performance of the proposed model.
机译:本文介绍了考虑含有分布式能源(DERs)的分配系统的时间顺序的Vol-VAR优化的混合整数线性编程模型。所提出的模型描述了电容器组(CBS)和电压调节器(VRS)的操作问题,并且还基于在分配系统的典型场景中包含的每次间隔期间的稳态操作。使用K-means聚类算法的过程用于选择场景,从而保留不同负载和DER的同时性和时间顺序组合。根据我们开发的制定,调节装置对下游负载变化变得敏感,因为我们使用明确的电流变量来控制自动CBS,并且由于我们包括沿着控制VRS控制中的分配线来补偿电压降的装置。通过比较通过非线性功率流获的两种典型病例的几种测试期间获得的结果来验证该模型。本文中提出的典型案例研究突出了用线性化模型和功率流动方法获得的结果之间的良好一致性;此外,实际结果证实,使用典型方案允许代表不同级别的负载和DER,同时保持所提出的模型的有效性和性能。

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