P. Renuga

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This paper proposes an application of Evolutionary Algorithms (EAs) such as Differential Evolution (DE), Evolutionary Programming (EP), Real coded Genetic Algorithm (RGA), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Particle Swarm Optimization (PSO) to Reactive Power Planning (RPP) problem. RPP is a non-smooth and non-differentiable(More)
In this paper, an approach using Hybrid Genetic Algorithm and Particle Swarm Optimization Search (HGAPSO) is presented for placing Distributed Generators (DGs) in distorted distribution system. The objective is to minimize the loss and average voltage total harmonic distortion (THD v) of the distorted distribution system. A detailed performance analysis is(More)
This paper proposes an application of Fast Voltage Stability Index (FVSI) to Reactive Power Planning (RPP) using Evolutionary Programming (EP). FVSI is used to identify the weak buses for the RPP problem which involves experimental process of voltage stability analysis based on the load variation. The point at which FVSI close to unity indicates the maximum(More)
In this paper, an approach using Hybrid Genetic Algorithm and Particle Swarm Optimization Search (HGAPSO) is proposed for placing Distributed Generators (DGs) in distorted distribution system. The objective is to reduce the real power loss and average voltage total harmonic distortion (THD<sub>v</sub>) of the distorted distribution system. A detailed(More)
Paper proposes design and simulation of single phase cascaded five level inverter. The inverter can produce five different output voltage levels across the load. The multilevel sinusoidal pulse width modulation switching strategy was used and THD value for every scheme was analyzed. The main advantage of this technique is the ability to reduce harmonics.(More)
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