Decision Making using Pareto Optimality and Game Theory Strategy to Resolve the Conflict Between Techno-Economic Aspects for Optimal DG Deployment in RDS

Authors

  • Srinivas Nagaballi, Vijay S. Kale

Abstract

In this paper, the optimal deployment of Distributed Generation (DG) in the Radial Distribution System (RDS) is implemented using a meta-heuristic optimization method named Improved Ravens Roosting Optimization [IRRO] algorithm. Technical and economic aspects are considered as objective functions for the optimal DG deployment. The technical aspects include diminishing power losses, voltage deviation, line loading, and voltage stability enhancement. Maximization of cost-benefit with DG placement in RDS is considered as the economic objective. The Pareto optimality technique is utilized in finding a cluster of non-dominating solutions obtained from contrary objective functions. Game theory is applied to pick up the best from the bunch of non-dominating solutions found prior. The simulation study is performed on the IEEE 33-bus test system. The numerical results show the efficacy of this novel Pareto optimality and game theory strategy and are compared with similar existing paper using another technique.

Published

2021-03-30

Issue

Section

Articles