Reactive Power Optimization for Distribution Network Based on Distributed Random Gradient-Free Algorithm

Jun Xie, Chunxiang Liang and Yichen Xiao
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Jun Xie: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Chunxiang Liang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Yichen Xiao: College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Energies, 2018, vol. 11, issue 3, 1-13

Abstract: The increasing penetration of distributed energy resources in distribution systems has brought a number of network management and operational challenges; reactive power variation has been identified as one of the dominant effects. Enormous growth in a variety of controllable devices that have complex control requirements are integrated in distribution networks. The operation modes of traditional centralized control are difficult to tackle these problems with central controller. When considering the non-linear multi-objective functions with discrete and continuous optimization variables, the proposed random gradient-free algorithm is employed to the optimal operation of controllable devices for reactive power optimization. This paper presents a distributed reactive power optimization algorithm that can obtain the global optimum solution based on random gradient-free algorithm for distribution network without requiring a central coordinator. By utilizing local measurements and local communications among capacitor banks and distributed generators (DGs), the proposed reactive power control strategy can realize the overall network voltage optimization and power loss minimization simultaneously. Simulation studies on the modified IEEE-69 bus distribution systems demonstrate the effectiveness and superiority of the proposed reactive power optimization strategy.

Keywords: distribution networks; reactive power optimization; distributed optimization; random gradient-free algorithm (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: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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