Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Management | en_US |
| dc.creator | Lee, Man-shun | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/4019 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Decision support system for operation scheduling of a diesel power plant | en_US |
| dcterms.abstract | It is a worldwide trend that Electricity Utility market is opened for competition. Independent Power Producer's (IPP's) projects become very common. In order to be a profitable IPP operator, the Operation and Maintenance planning of a power plant will become an issue that is even more critical. However, the traditional methods used in solving "unit commitment problem" can not employed, it is because the constraints and considerations are completely changed when comparing with Public Electricity Producer. In a contract, Wartsila NSD Power Development Asia Ltd was granted the right to develop a 300MW Diesel Power Plant in Vietnam. The project was divided into three phases. Phase one built a power plant with generating facilities of total 120MW output, that included eight Diesel engines (Wartsila 18V46). Phase two was another 120MW and phase three was 60 MW. In order to secure maximum generated revenue, IPP needed to maintain availability of the plant. Thus, the Operation / Maintenance schedule was the issue to be addressed in this Dissertation. This report described the structure and development a Decision Support System (DSS), which helped the plant managers in making the decision of individual engine's "Start & Stop". The DSS took into consideration of major facts to formulate a feasible solution plan for the next 6 months' operation. Due to the working principle of Diesel engine, maintenance of the engines needed to be done according to engine running hour. However, the tariff was structured that if there was more than one engine maintenance at the same time, liquidated damage had to pay by IPP to the national grid. Thus power plant operator could only ensure his highest revenue generated by maximising the availability of all his engines and at the same time prolong the period between overhauls. So Diesel engine maintenance task had to spread evenly over the time horizon to prevent liquidated damage payable. The DSS was build to formulate the decision making procedures, which could output results within a reasonable time. The calculation was based on the following dynamic criteria of engines running hour, dispatch load pattern, maintenance history of engines. Because the complex and dynamic nature of this problem, it was inappropriate to calculate by global optimization solution. Two priority-list methods were proposed in the report to formulate the decision making procedures for engines' Start /Stop /Maintenance. In the DSS, the two proposed methods employed the same logic flow for most part of the program. Their only difference was the way they calculated the priority lists, which made them propose different solutions. When the two methods were done, test running procedures and results of the two approaches were recorded in the report. The DSS demonstrated that it was a useful tool for power plant personnel to plan the resources for the next 6 months up-coming maintenance tasks. | en_US |
| dcterms.extent | x, 99 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2000 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Diesel electric power-plants | en_US |
| dcterms.LCSH | Production scheduling | en_US |
| dcterms.LCSH | Decision support systems | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15531132.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.18 MB | Adobe PDF | View/Open |
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