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Content Provider | IEEE Xplore Digital Library |
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Author | Kumarappan, N. Suriya, P. |
Copyright Year | 2010 |
Description | Author affiliation: Department of Electrical Engineering, Dhanalakshmi Srinivasa Engineering college, Tamil Nadu, India (Suriya, P.) || Department of Electrical Engineering, Annamalai university, Tamil Nadu, India (Kumarappan, N.) |
Abstract | This paper presents a Hybrid GA/SA (Genetic Algorithm(GA) combined with Simulated Annealing (SA)) methodology for finding the optimum preventive maintenance schedule of generating units of GENCO with line flow constraints in restructured power system. In this environment, management of GENCOs and grid is separated, each maximizing its own benefit. Therefore , the principle to draw up the unit maintenance scheduling will be changed significantly. The profit of a GENCO is defined as the total profit, which is the sum of the individual units profits from the auctions over the horizon. So every GENCO hopes to put its maintenance on the weeks when the Market Clearing Price(MCP) is lowest , so that Maintenance Investment Loss (MIL) descends. Therefore objective function for the GENCO is to sell electricity as much as possible, according to the market clearing price forecast. The objective function of Independent System Operator (ISO) is to maximize the reserve capacity of the system at every time interval. ISO solves its maintenance scheduling according to its objective function. Each GENCO specifies optimum maintenance scheduling according to its objective function. Depending upon the fitness, profit and reliability index, select GENCO's maintenance scheduling (or) ISO's maintenance scheduling. Various technical constraints such as generation capacity, duration of maintenances, maintenance continuity and line flow are being taken in to account. |
Starting Page | 1 |
Ending Page | 8 |
File Size | 246879 |
Page Count | 8 |
File Format | |
ISBN | 9781424477821 |
e-ISBN | 9781424477814 |
DOI | 10.1109/PEDES.2010.5712430 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-12-20 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Maintenance engineering Gallium Biological cells Simulated annealing ISO Genetic algorithms power system restructure combined genetic algorithm and simulated annealing maintenance scheduling market clearing price maintenance investment loss |
Content Type | Text |
Resource Type | Article |
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