Optimization Model for Electricity Distribution System Control using Communication System by Lagrangian Relaxation Technique

This paper mainly deals with the analysis of communication network for electricity distribution using Distribution Dispatch Centre (DDC) which is monitored and controlled by Supervising Control And Data Acquisition / Distribution Management System (SCADA / DMS). DDC controls the computer based substation control systems. Access of the control channel can be formulated as a Non-Linear Integer Programming (NLIP) which can be decomposed by Lagrangian Relaxation (LR) technique. The objective of the model is to maximize the inputs of the control parameters for the feeders and to obtain the optimal scheduling decision for each power flow. The optimal scheduling decision is obtained from the Lagrangian dual optimization problem. A duality gap exists between the lower bound and the objective function value provided by the Non-Linear Integer Programming feasibility heuristic. The optimum value is obtained by the scheduling algorithm. Based on numerical calculations and graphical representations, the feeder route losses are minimized with respect to control parameters.