Multi-objective Collaborative Optimization of VDAPFs and SVGs Allocation Considering MFGCIs Contribution for Voltage Partitioning Mitigation in Distribution Networks

Abstract

A novel strategy for collaborative optimization allocation of voltage-detecting active power filters (VDAPFs) and static var generators (SVGs) considering multi-functional grid-connected inverters (MFGCIs) contribution is proposed to mitigate voltage harmonic (VH) and voltage deviation (VD) in distribution networks. Based on the defined integrated voltage sensitivity, two partitioning schemes for the VDAPFs and SVGs to be installed and the MFGCIs already installed are studied. Two methods based on single and integrated sensitivity are adopted to coordinately determine dominant nodes as candidates of VDAPFs and SVGs in each region. The mitigation regions of the non-dominant nodes with MFGCIs are determined. With the limitation of MFGCI capacity, a comprehensive evaluation model of PQ level is established to get the compensation coefficients of harmonic and reactive power for MFGCIs. Multiple objectives model including the total cost and the annual average PQ level is presented to optimize the sites and sizes of VDAPFs and SVGs. Pareto optimal solutions with uniform distribution are obtained by the normalized normal constraint (NNC) algorithm. The proposed strategy is implemented on IEEE 33-bus system and PG&E 69-bus system. The results verify the effectiveness and applicability of the proposed strategy by comparing the two allocations with and without MFGCIs and the traditional allocation.