The coordinated approach for voltage security constrained reactive power management of deregulated electricity market

Abstract

Reactive power provision is one of the important ancillary services newlinewhich is not dealt properly compared to all other ancillary services. newlineThis work is divided mainly three part. First part is mainly deals with newlineReactive Power Procurement (RPP) problem by considering existing newlineactive power market. The RPP problem is treated as Optimum Power newlineFlow (OPF) problem in which total market cost minimization is consider newlineas main objective function. Proposed Total Market Price (TMP) newlineminimization problem consist various cost likes Reactive Power Cost newlineby various providers (Synchronous generator, Synchronous newlinecondenser, capacitor), transmission line loss cost and reactive power newlinetransmission cost. Proposed method is applied on IEEE 24 bus system newlineand detailed analysis is performed using Genetic algorithm. newlineReactive Power Dispatch plays paramount role for secure and reliable newlineoperation and also enhances the economic efficiency of power system newlineoperation. An Optimal Reactive Power Dispatch (ORPD) is a mixed newlineinteger nonlinear optimization problem which includes both continuous newlineand discrete control variables hence second and third part of this work newlinedeals with Reactive power dispatch problem as Single Objective newlineOptimization Problem and Multi Objective Optimization Problem. In newlineCase 2, The Reactive Power Dispatch (RPD) problem is solved by newlineusing various objective functions as minimization of active power loss, newlinevoltage stability maximization, Lindex minimization and voltage newlinedeviation minimization by applying Genetic Algorithm (GA) on IEEE 24 newlinebus system and results are compared. newlineWhile in Case 3, RPD problem is solved as MOOP using SPEA and newlineresults are compared with NSGA II. The proposed methods are newlinechecked on various standard IEEE 14, IEEE 30 bus system and IEEE newline57 bus system. The best optimal solution is decided by applying most newlineaccepted Multi-Attribute Decision Making (MADM) method - Technique newlinefor Order of Preference by Similarity to Ideal Solution (TOPSIS) by newlineviii newlineconsidering equal weightage of both objective functio