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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sharma, D. Srinivasan, D. Trivedi, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical and Computer Engineering National University of Singapore (NUS), Singapore-117576 (Sharma, D.; Srinivasan, D.; Trivedi, A.) |
| Abstract | Deregulation in the electricity market offers freedom to the generator companies (GENCOs) to schedule their generators in order to maximize their profit without actually satisfying the load and the reserve requirements. Various techniques have been developed for solving the profit based unit commitment (PBUC) problem. Among them, the multi-agent approach is different where each generator unit is referred to as an intelligent agent. In this paper, we develop a new multi-agent approach for PBUC problem in which the rule based intelligence is provided to the independent system operator (ISO) agent. Intelligence of generator agents (GenAgents) is limited to maximize their profit for the given demand and reserve using real-parametric genetic algorithm (GA) and share the results with ISO agent. In this approach, ISO agent commits the maximum profit generating GenAgents for every hour while satisfying the up/down time constraints. ISO agent also asks other GenAgents to calculate their profit for the remaining demand and reserve. The simulation results of 10 units problem for two payment methods are shown and compared with other techniques. |
| Starting Page | 2527 |
| Ending Page | 2533 |
| File Size | 222313 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949932 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | ISO Generators ISO standards Time factors Equations Genetic algorithms Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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