Optimal Allocation of FACTS Devices by Using Multi-Objective Optimal Power Flow and Genetic Algorithms
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Lucio Ippolito
The increases in power flows and environmental constraints are forcing electricity utilities to install new equipment to enhance network operation. Some application of Flexible AC Transmission System (FACTS) technologies to existing high-voltage power systems has proved the use of FACTS technology may be a cost-effective option for power delivery system enhancements. Amongst various power electronic devices, the unified power flow controller (UPFC) device has captured the interest of researchers for its capability of regulating the power flow and minimizing the power losses simultaneously. Since for a cost-effective application of FACTS technology a proper selection of the number and placement of these devices is required, the scope of this paper is to propose a methodology, based on a genetic algorithm, able to identify the optimal number and location of UPFC devices in an assigned power system network for maximizing system capabilities, social welfare and to satisfy contractual requirements in an open market power.In order to validate the usefulness of the approach suggested herein, a case study using a IEEE 30-bus power system is presented and discussed.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Optimal Allocation of FACTS Devices by Using Multi-Objective Optimal Power Flow and Genetic Algorithms
- Analysis of Ferroresonance in a Power Transformer with Multiple Nonlinearities
- A Three Gate Neural Network Based Approach for Automatic Control of Small Hydro Power Plants
- A Rule Based Expert System for Identification of Harmonics Originating from Single Phase Nonlinear Loads
- Analysis of a Saturated Multi-Phase (Six-Phase) Self-Excited Induction Generator
- Impacts of Multiple Distributed Generations on a Weak Distribution Network - A Case Study
- An Experimental Study on the Electrical Properties of Fly Ash in the Grounding System
