Power Research

N. Ashwin ¹, J. Sreedevi ², Pradip Kumar Dixit ³

Affiliations
1 Senior Research Fellow Power Systems Division Central Power research Institute Bengaluru, IN
2 Joint Director Power Systems Division Central Power Research Institute Bengaluru, IN
3 Professor Dept. of Electrical and Electronics Engineering M S Ramaiah Institute of Technology Bengaluru, IN

Abstract

Modern power systems are complicated and heavily interconnected systems. Hence critical analysis of the network for power system planning is very important. Challenges in analyzing large interconnected networks have given rise to the need to find small, equivalent networks in order to improve computational efficiency. There are many methods for determining an equivalent network which accurately represents the original network. In this paper Thevenin’s method is used to calculate the equivalent of a system. The PSS/E software is used to demonstrate the method for separation of a particular area network from all-India network by placing dynamic equivalents at the boundary buses.

Keywords

boundary buses, dynamic equivalent, internal and external systems, transient stability

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J. Sreedevi ¹, P. Noorcheshma ², N. Ashwin ², K. S. Meera ³

Affiliations
1 Joint Director, PSD, Central Power Research Institute, Bengaluru, Karnataka, 560080, IN
2 Senior Research Fellow, PSD, Central Power Research Institute, Bengaluru, Karnataka, 560080, IN
3 Additional Director, PSD, Central Power Research Institute, Bengaluru, Karnataka, 560080, IN

Abstract

Various sophisticated technologies have been deployed in the modern power system to facilitate the notion of smart grid, integrating the power system, associated IT infrastructure and the communication network into a Cyber-Physical System (CPS). The increasing coupling between a physical power system and its communication network necessitates a Cyber-Physical test environment to investigate and guarantee the grid’s stability and reliability. A Cyber-Physical Testbed consists of four components – a Physical power systems layer, a power systems monitoring layer, a Communication Network layer and an Energy Management Systems layer. In this paper, the need of a Cyber Security testbed is detailed along with an architecture of a typical Cyber Security Testbed and the role of a Real Time Simulator in the Testbed.

Keywords

Cyber-Physical System (CPS), Cyber-Physical Testbed, Phasor Measurement Units (PMU), Real Time Digital Simulator

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N. Ashwin ¹, H. S. Veena ²

Affiliations
1 Department of Electrical Engineering, University Visvesvaraya College of Engineering, K.R. Circle, Bangalore – 560 001, IN
2 Department of Electrical Engineering, University Visvesvaraya College of Engineering, K.R. Circle, Bangalore – 560001, IN

Abstract

Many areas in power systems require solving one or more nonlinear optimization problems. Optimal allocation of distributed generators (DGs) is one of them. This paper proposes two optimization methods to determine the optimal allocation of distributed generators in radial distribution systems (RDS), for the purpose of maximizing power loss reduction and improving voltage profile. The proposed methodology uses Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to optimize the objective function and is used to compare it with the analytical method of optimization. The Genetic Algorithm and Particle Swarm Optimization methods are tested on a standard radial distribution test systems, which is, IEEE 33 bus RDS using MATLAB R2008b. The results indicate that the optimal location of the DG is at bus number 6, with a power loss reduction of 83.3 kW.

Keywords

Radial Distribution system/network (RDS/RDN), Distributed Generator (DG), Genetic Algorithm (GA), Particle Swarm Optimization (PSO).

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