A Fuzzy-Based Genetic Algorithm for Social Welfare Maximization by Placement and Sizing of Static Synchronous Series Compensator
This article presents a fuzzy-based genetic algorithm to maximize total social welfare and alleviate congestion by placement and sizing of one static synchronous series compensator device, considering its investment cost in a double-sided auction market. The generating units cost curves are consider...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Taylor & Francis
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/35022 |