HybridGA‐MCSbased optimization for distributed generation with dynamic voltage restorer planning in distribution networks

Abstract

The distributed generations (DGs) and dynamic voltage restorer (DVR) play an important role in the context of environmental problems and sustainable development throughout the world. The traditional DG and DVR locating and sizing method is based on a fixed network structure, which is assumed to be unchangeable during the planning period. The research presented here discusses a hybrid approach working on Monte Carlo simulation (MCS) and genetic algorithm (GA), which can be used for enhancement of system power factor (SPF) and voltage profile (VP) by the integration of DGs with DVR planning in distribution networks with ZIP load models from the minimization of total real power loss of the system viewpoint. The proposed methodology was applied to a 75-bus distribution network. This article is useful for researchers as well as practitioners who are working in the fields of integration of DG with DVR for improvement of system performances such as power factors and voltage profile from minimizing the losses.

Enhancing voltage regulation using 5‐level TCHB based DVR in radial secondary distribution feeder system

“…Many research articles [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] proposed different solutions for mitigation of voltage quality issues in the distribution system. Graph theory-based voltage sag mitigation is carried out in Majumder et al, 1 utilizing DVR in the radial distribution network.…”

“…Paper 20 presents T‐type MLI based transformer less DVR with reduced switch count for medium voltage distribution system. Paper 2 presented GA‐MCS based optimization for integration of DG's with DVR in the distribution network.…”