Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF
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Gareth P Harrison
A range of techniques has been proposed to define the optimal locations and capacities of distributed generation (DG) as a means of ensuring that the maximum amount of DG can be connected to existing and future networks. However, there are limitations inherent in these methods, not least in finding the best combination of sites for connecting a predefined number of DGs. Here, a method combining optimal power flow and genetic algorithms aims to meet this requirement. Its use would be in enabling Distribution Network Operators to search a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations. Some applications of the proposed methodology confirmed its effectiveness in sitting and sizing an assigned number of DG units.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Transient Behavior Analysis of Induction Generator at Three-Phase Fault Condition
- A Test on Probabilistic Reliability Evaluation of the Korea Power System
- Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer
- Multi-Agent Models for Consumer Choice and Retailer Strategies in the Competitive Electricity Market
- Neuro-Wavelet Approach to Time-Series Signals Prediction: An Example of Electricity Load and Pool-Price Data
- DSP Based Implementation of Hybrid Fuzzy PI Speed Controller for Direct Torque Controlled Permanent Magnet Synchronous Motor Drive
- Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF
