Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/2604| Title: | Application of Music Based Harmony Search Algorithm for Transmission Loss Allocation in Electricity Markets |
| Authors: | Lalitha, S.V.N.L. Sydulu, M. |
| Keywords: | Bilateral Transactions Music based harmony search Transmission pricing Transmission loss allocation |
| Issue Date: | Feb-2012 |
| Publisher: | 2012 Third International Conference on Intelligent Systems Modelling and Simulation |
| Citation: | 10.1109/ISMS.2012.104 |
| Abstract: | Application of meta-heuristic techniques to engineering optimization problems has proved to be an efficient tool. In transaction based electricity markets transmission losses must be allocated among transactions rather than the individual buses as in case of pool based markets. In this paper an attempt is made to apply Music Based Harmonic Search Algorithm (MBHSA) for the allocation of transmission losses among transactions in electricity markets. Transmission loss can be easily allocated among transactions using the values of transaction coefficients. In the proposed method optimal values of transaction co-efficients are found as an optimization problem using MBHSA. Proposed method is tested with IEEE 24 bus reliability test system with multiple transaction sets and the test results are compared with the existing technique in the literature. The method can also be extended for reactive power loss allocation if reactive power transactions are generated according to the real power transaction amounts. |
| Description: | NITW |
| URI: | http://localhost:8080/xmlui/handle/123456789/2604 |
| Appears in Collections: | Electrical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Application_of_Music_Based_Harmony_Search_Algorithm_for_Transmission_Loss_Allocation_in_Electricity_Markets.pdf | 382 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.