Power Research

A. S. Telang ¹, P. P. Bedekar ²

Affiliations
1 Assistant Professor, Electrical Engineering Department, P. R. P. College of Engineering, Amravati
2 Associate Professor, Electrical Engineering Department, Govt. College of Engineering, Amravati

Abstract

Power system researchers have looked upon the problem of Voltage Stability Constrained Optimal Power Flow (VSC-OPF) making use of classical and advanced methods of optimization. Many efforts have been made to optimize the power system by optimizing control variables of VSC-OPF problem for improving voltage profile. This paper compiles the significant developments made in the area of VSCOPF using conventional and artificial intelligence based optimal power flow solution methodologies. After a thorough study of vast literature available on VSC-OPF, critical review with future scope has been presented to make the review study most focused and optimistic. Owing to poor speed and convergence characteristics of classical methods of optimization problem, intelligent computational methods have been emerged as one of the effective and efficient method. However, as an appropriate setting of control parameters involved in these meta-heuristic techniques is a key factor for success, the possibility of utilizing hybrid approaches should be considered for VSC-OPF problems. Another interesting feature of this study is that it is found that one algorithm cannot be superior to other algorithms in all kinds of cases; hence for the class of problem being studied, one has to find out which algorithm is better.

Keywords

Voltage Stability Constrained Optimal Power Flow, Voltage Stability Index, Optimal Power Flow, L-index, VCPI-index, MSV,, Classical Method, Artificial Intelligence

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A. S. Telang ¹, P. P. Bedekar ²

Affiliations
1 Assistant Professor, Electrical Engineering Department, P. R. P. College of Engg, Amravati, IN
2 Associate Professor, Electrical Engineering Department, Govt. College of Engg, Amravati, IN

Abstract

Voltage stability assessment and its enhancement have become the important aspects for modern power system operation and control. Static and dynamic are the two most important methods, to analyze the voltage stability. This paper presents a comprehensive study of almost all static voltage stability analysis methods such as PV-QV curve, Modal analysis, Load flow based voltage stability indices and continuation power flow method, for enhancement of voltage stability. Implementation of FACTS device like STATCOM, in the system, which is having fast and very flexible control, to achieve the maximum enhancement of loading margin in the power system is also presented. This enables one to identify the system’s critical area and to develop systematic approach for proper placement and sizing of STATCOM in the power system network.

The main contribution of this paper is identification of weak buses of power system using static voltage stability analysis methods and deciding proper location and size of STATCOM for voltage stability enhancement, under a novel load increase scenario i.e. active and reactive loads have been changed simultaneously at all the load buses under consideration. The study has been carried on various standard IEEE test systems using MATLAB programming as well user friendly Power System Analysis Toolbox (PSAT) of MATLAB. The results of standard IEEE14 and IEEE6 bus test systems have been presented in this paper.

Keywords

Static voltage stability, Loading margin, PV-QV curve method, Modal analysis, VSI, Power flow, CPF, STATCOM.

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P. P. Bedekar ¹, S. R. Bhide ²

Affiliations
1 Electrical Engineering Department, Government College of Engineering, Chandrapur, Chandrapur – 442403, Maharashtra, IN
2 Electrical Engineering Department, VNIT, Nagpur – 440010, Maharashtra, IN

Abstract

This paper presents a novel application of Genetic Algorithm (GA) in implementation of the Differential Equation Algorithm (DEA) for fault location on transmission lines. The approach consists in first formulating the problem as that of minimization of the error between measured and estimated instantaneous voltage at the relay location. GA is then used as a tool, for finding out the optimum solution. Inherent advantages of GA like good ability to reach global optimum, robustness etc. are thus exploited. Comparison with results obtained using other conventional methods like Simultaneous Differential Equation (SDE), Non-Linear Programming (NLP) and Multivariable Series Least Squares (MVS-LSQ) techniques reveals that the proposed approach using GA has a superior performance. Thus GA should find a place in the tool-bag of protection engineers.

Keywords

Differential Equation Based Algorithm, Fault Location, Genetic Algorithm, Lumped Series Model, Pi Section Model, Simultaneous Differential Equation Technique

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