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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin-Ho Kim Jong-Bae Park |
| Copyright Year | 2006 |
| Description | Author affiliation: Pusan Nat. Univ. (Jin-Ho Kim) |
| Abstract | In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are newly defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on |
| File Size | 303062 |
| File Format | |
| ISBN | 1424404932 |
| DOI | 10.1109/PES.2006.1709070 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-18 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power generation Power system modeling Job shop scheduling Character generation Electricity supply industry Power system analysis computing Load flow analysis Economic forecasting Power systems Uncertainty Effective outage rate Probabilistic generation model Maintenance outage rate Demand clustering |
| Content Type | Text |
| Resource Type | Article |
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