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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Singh, H.K. Srivastava, S.C. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India (Singh, H.K.; Srivastava, S.C.) |
| Abstract | Customers' response to change in electricity prices has been identified as one of the key requirements in the emerging restructured electricity markets. However, it becomes difficult to calculate prices, in real time, at all the nodes in the practical large size networks and further communicate them to the customers, while refreshing them at frequent intervals. To address this problem, a nodal price based network reduction technique has been proposed in this paper. Clusters of nodes in the network have been formed which have similar nodal prices and experience similar changes in nodal prices for different network conditions. Node clusters have then been reduced to equivalent nodes using REI network reduction technique. The reduced network has been shown to calculate nodal prices quite accurately in a considerably lesser time. The effectiveness of the proposed technique has been established on IEEE 118 bus test system. |
| Starting Page | 2070 |
| Ending Page | 2077 |
| File Size | 436697 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780391578 |
| DOI | 10.1109/PES.2005.1489092 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent networks Power markets Pricing Power system modeling Costs Power systems Electricity supply industry Load flow Load management Power system interconnection |
| Content Type | Text |
| Resource Type | Article |
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