Coordinated Voltage Control of Active Distribution Networks in presence of PV and Energy Storage System

Arunima Dutta, S. Ganguly, Chandan Kumar
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引用次数: 2

Abstract

This paper proposes a rule-based model predictive control (MPC) approach to coordinate the operation of distributed generation units (DGU), energy storage systems (ESS), and on-load tap changer (OLTC). The control approach manages the settings of the regulating devices optimally in order to regulate node voltages and minimizes power loss effectively with the aid of minimal control resources. Three rules are devised for MPC on the basis of magnitudes of voltages. The objectives for MPC are changed according to these pre-defined rules. The effectiveness of the proposed approach is tested in a 33-bus distribution network. It has been found that the proposed control scheme could mitigate voltage violations as well as energy loss in both normal and abnormal conditions. Moreover, the performance of the proposed control scheme with ESS is better than without ESS in terms of less usage of control resources, and reduced energy losses. Simulations are also carried out to test the robustness of the control scheme. The performance of the proposed control scheme is further investigated with distributed ESS.
光伏储能有功配电网电压协调控制研究
提出了一种基于规则的模型预测控制(MPC)方法来协调分布式发电机组(DGU)、储能系统(ESS)和有载分接开关(OLTC)的运行。该控制方法以最小的控制资源,对调节装置的设置进行最优管理,从而有效地调节节点电压,使功率损耗最小。根据电压的大小,为MPC设计了三条规则。MPC的目标根据这些预先定义的规则而改变。在一个33总线配电网中验证了该方法的有效性。结果表明,该控制方案在正常和异常情况下都能有效地减轻电压违和和能量损失。此外,采用ESS的控制方案在减少控制资源的使用和减少能量损失方面优于不采用ESS的控制方案。仿真结果验证了该控制方案的鲁棒性。利用分布式ESS进一步研究了所提控制方案的性能。
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