MULTIPLE CONTINGENCY ANALYSIS FOR OPTIMAL PLACEMENT AND ESTIMATE THE VALUE OF SVC FOR POWER LOSS REDUCTION EMPLOYING GENETIC ALGORITHM
Journal: International Journal of Electrical Engineering and Technology (IJEET) (Vol.10, No. 4)Publication Date: 2019-07-05
Authors : Mohammed Shuaib Iqbal Sujatha B.C;
Page : 60-69
Keywords : Static VAR Compensator (SVC); Genetic Algorithm (GA); Contingency Analysis;
Abstract
The development of FACTs technology has been a great help in enhancing the function of power systems as it minimizes the power system instability problem, minimize losses and voltage profile. Due to high capitals involved with Flexible AC transmission systems (FACTs) devices, proper planning in the early phase of commissioning is essential so as to achieve maximum feasible use of them. Positioning FACTs devices in proper place can assist the objective of enhancing voltage levels and minimizing losses in the structure. In this paper, Genetic Algorithm (GA) is used to discover the ideal place of Static VAR Compensator (SVC) for the increase in load condition and loss of generation. An appreciable reduction in active power loss and improvement in voltage profile are observed. The MATLAB program with MATPOWER is used to demonstrate the procedure on IEEE 30 bus test system.
Other Latest Articles
- LIGHTING OPTIMISATION CONTROL OF FLUO/LED SYSTEMS USING NEURAL NETWORK AND MATHEMATICAL MODEL
- CALCULATION OF INVERTER POWER CLIPPING LOSS DUE TO PV ARRAY OVERSIZING
- PERFORMANCE ANALYSIS OF AXIAL FIELD PERMANENT MAGNET GENERATOR
- REVIEW ON MPPT TECHNIQUES USED IN PV SYSTEM
- DC TO DC CONVERTERS AND ITS APPLICATION FOR RAILWAY SYSTEM- A REVIEW
Last modified: 2020-01-18 14:05:25