A Decoupling Rolling Multi-Period Power and Voltage Optimization Strategy in Active Distribution Networks

Xiaohui Ge, Lu Shen, Chaoming Zheng, Peng Li and Xiaobo Dou
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Xiaohui Ge: Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310014, China
Lu Shen: Department of Electrical Engineering, Southeast University, Nanjing 210096, China
Chaoming Zheng: State Grid Zhejiang Electric Power Corporation, Hangzhou 310007, China
Peng Li: Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310014, China
Xiaobo Dou: Department of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2020, vol. 13, issue 21, 1-36

Abstract: With the increasing penetration of distributed photovoltaics (PVs) in active distribution networks (ADNs), the risk of voltage violations caused by PV uncertainties is significantly exacerbated. Since the conventional voltage regulation strategy is limited by its discrete devices and delay, ADN operators allow PVs to participate in voltage optimization by controlling their power outputs and cooperating with traditional regulation devices. This paper proposes a decoupling rolling multi-period reactive power and voltage optimization strategy considering the strong time coupling between different devices. The mixed-integer voltage optimization model is first decomposed into a long-period master problem for on-load tap changer (OLTC) and multiple short-period subproblems for PV power by Benders decomposition algorithm. Then, based on the high-precision PV and load forecasts, the model predictive control (MPC) method is utilized to modify the independent subproblems into a series of subproblems that roll with the time window, achieving a smooth transition from the current state to the ideal state. The estimated voltage variation in the prediction horizon of MPC is calculated by a simplified discrete equation for OLTC tap and a linearized sensitivity matrix between power and voltage for fast computation. The feasibility of the proposed optimization strategy is demonstrated by performing simulations on a distribution test system.

Keywords: active distribution network; reactive power and voltage optimization; decoupled multiple periods; benders decomposition; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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