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Unbalance Mitigation via Phase-Switching Device and Static Var Compensator in Low-Voltage Distribution Network

Bin Liu, Ke Meng, Zhao Yang Dong, Peter K.C. Wong, Ting Tian

2020IEEE Transactions on Power Systems59 citationsDOIOpen Access PDF

Abstract

As rooftop solar PVs installed by residential customers penetrate in low voltage distribution network (LVDN), some issues, e.g. over/under voltage and unbalances, which may undermine the network's operational performance, need to be adequately addressed. To mitigate unbalances in LVDN, phase-switching devices (PSDs) and static var compensator (SVC) are two equipment that is cost-effective and efficient. However, most existing research on operating PSDs is based on inflexible heuristic algorithms or without considering the network formulation, which may lead to strategies that violate operational requirements. Moreover, few pieces of literature have been reported on mitigating unbalances in LVDN via SVC and PSDs together. This paper formulates the decision-making process as a mixed-integer non-convex programming (MINCP) problem after developing an SVC model for dispatch purpose. Compared with existing work, the proposed method aims at minimizing current unbalance based on their phasor values and takes the network's operational requirements into account. To efficiently solve the challenging problem, the MINCP is reformulated as a mixed-integer second order-cone programming (MISOCP) problem based on either exact reformulations or accurate approximations, making it possible to employ efficient off-the-shelf solvers. Simulations based on two modified IEEE systems and a practical Australian LVDN demonstrates the efficiency of the proposed method in mitigating unbalances in LVDN.

Topics & Concepts

PhasorMathematical optimizationInteger programmingStatic VAR compensatorComputer scienceVoltageLinear programmingControl theory (sociology)Process (computing)HeuristicElectric power systemEngineeringAC powerPower (physics)Control (management)Electrical engineeringMathematicsOperating systemQuantum mechanicsPhysicsArtificial intelligenceOptimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid Energy Management
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