Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Electrical Engineering | en_US |
| dc.creator | Yim, Yin-kow | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/4558 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Modelling and formulation of cost-based reliability and outage cost of alocalized distribution power system | en_US |
| dcterms.abstract | In the dissertation, the total loss of continuity (TLOC) and partial loss of continuity (PLOC) events are considered for electrical system. A set of approximate equations to calculate the related reliability indices is generated. It provides the means to evaluate the failure rate, average outage time, average annual outage time, the load curtailed and energy not supplied in outage condition. The equations are developed by setting up of the state space diagrams and solving the stochastic transitional probability matrix. The effect of load transfer is also formulated. To balance the investment and the benefit to the customers, cost effect for system expansion should be considered. The current approach to the interruption cost of the customer is evaluated by indirect analytical method, customers survey method and the case study method. In the literature for the indirect analytical methods, the existing methods for residential and industrial sectors are used. For the commercial and other sectors, the equations are modified with respected to the customers' expectation. The case study method is mentioned but was found that it is not conclusive for future cases. The customer survey approach is briefly described. This method is the most popular method used by most power companies all over the world. It is not considered to use the survey method as the scale of survey that I can conduct can not be compared to the one done by power companies. The expected result obtained will not be representative. GDP method is proposed in the dissertation, it uses the Gross Domestic Product (GDP) data produced by government for the commercial and industrial sectors. It shows that there is a relation between the GDP and the energy consumed. Also for a unit of energy not supplied, there is a portion of GDP not contribute to the society. For the residential sector, the mean household income per month per average electrical energy consumed per month is used to evaluate the outage cost. The average unit cost (AUC) is then used to develop the composite customer damage function(CCDF) and the Interruption Energy Assessment Rate(IEAR). In formulating the IEAP, three methods are outlined. They are namely Contingency Enumeration Method(CEM), Basic Indices Method(BIM) and the System Indices Method (SIM). The cost model for the system expansion is the cost of the choice of the levels of the reliability. The system expansion is a result of the load growth. The main factors affecting the whole planning process is listed out in Chapter 5. In order to compare to the outage cost developed, the reforcement cost is annualized and subjected to an interest rate and the life of the reinforcement. The reliability criteria are selected for different operating condition. The cost of interruption and system expansion is optimized for -d(ECOST)/dL=d(SCr)/dL In chapter 6, the TLOC and PLOC events are used to illustrate the cost model and optimizing process of the system expansion. | en_US |
| dcterms.extent | iv, 124 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1995 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Electric power systems | en_US |
| dcterms.LCSH | Electric power distribution | 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 | |
|---|---|---|---|---|
| b15554284.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.43 MB | Adobe PDF | View/Open |
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