Co-generation is an efficient energy system that generates steam and electricity simultaneously. In ordinary operation, fuel cost accounts for more than 60% of the operational cost. As a result, the boiler efficiency and optimization level of co-generation are both high. To achieve further energy conservation, objectives of this thesis are to find the Profit-maximizing dispatch and efficiency enhancing strategy of the co-generation systems under deregulation.
In a coexistent environment of both Bilateral and Poolco-based power market, there are bid-based spot dispatch, and purchases and sales agreement-based contract dispatch. For profit-maximizing dispatch, the steam of boilers, fuels and generation output will be obtained by using the SQP(Sequential Quadratic Programming ) method. In order to improve the boiler efficiency, this thesis utilizes artificial neural networks(ANN) and evolutionary programming(EP) methods to search for the optimal operating conditions of boilers.
A co-generation system (back-pressure type and extraction type) is used to illustrate the effectiveness of the proposed method.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0803105-205459 |
| Date | 03 August 2005 |
| Creators | Chou, Yu-ching |
| Contributors | Whei-Min Lin, Fu-Sheng Cheng, Ta-Peng Tsao, Shi-Jaw Chen |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-205459 |
| Rights | not_available, Copyright information available at source archive |
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