Electrical Power Generating to Economic Dispatch Ratio Enhancement by using Modified PSO
Main Article Content
Abstract
This paper presents the optimization of electrical power generating to economic dispatch ratio enhancement with optimal power flow by using modified particle swarm optimization (PSO). By making modification by adjusting the weight value to adjust the speed of particle motion. There are 2 types of used weight values which are 1. General PSO inertia weight 2. Simulated annealing inertia weight (SAIW). The used system in the test is the IEEE 30 bus. The result of the improvement shows that the PSO with SAIW provides better electrical power generating to economic dispatch ratio than the use of PSO with general weights.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
I/we certify that I/we have participated sufficiently in the intellectual content, conception and design of this work or the analysis and interpretation of the data (when applicable), as well as the writing of the manuscript, to take public responsibility for it and have agreed to have my/our name listed as a contributor. I/we believe the manuscript represents valid work. Neither this manuscript nor one with substantially similar content under my/our authorship has been published or is being considered for publication elsewhere, except as described in the covering letter. I/we certify that all the data collected during the study is presented in this manuscript and no data from the study has been or will be published separately. I/we attest that, if requested by the editors, I/we will provide the data/information or will cooperate fully in obtaining and providing the data/information on which the manuscript is based, for examination by the editors or their assignees. Financial interests, direct or indirect, that exist or may be perceived to exist for individual contributors in connection with the content of this paper have been disclosed in the cover letter. Sources of outside support of the project are named in the cover letter.
I/We hereby transfer(s), assign(s), or otherwise convey(s) all copyright ownership, including any and all rights incidental thereto, exclusively to the Journal, in the event that such work is published by the Journal. The Journal shall own the work, including 1) copyright; 2) the right to grant permission to republish the article in whole or in part, with or without fee; 3) the right to produce preprints or reprints and translate into languages other than English for sale or free distribution; and 4) the right to republish the work in a collection of articles in any other mechanical or electronic format.
We give the rights to the corresponding author to make necessary changes as per the request of the journal, do the rest of the correspondence on our behalf and he/she will act as the guarantor for the manuscript on our behalf.
All persons who have made substantial contributions to the work reported in the manuscript, but who are not contributors, are named in the Acknowledgment and have given me/us their written permission to be named. If I/we do not include an Acknowledgment that means I/we have not received substantial contributions from non-contributors and no contributor has been omitted.
References
T. Phongkidakarn and D. Rerkpreeapong, “Economic Dispatch using Cuckoo Search Algorithm,” Kasetsart Engineering Journal. 27, 90 (Oct.-Dec. 2014), pp. 57-66, 2014.
S. Chansareewittaya, K. Soponronnarit and P. Boonyanant," Modified DE/Sin for economic dispatch and environmental dispatch," 2018 5th International Conference on Business and Industrial Research (ICBIR), Bangkok, 2018, pp. 297-302.
S. Chansareewittaya, "Hybrid BA/ATS for Economic Dispatch Problem," 2018 22nd International Computer ค่าที่เหมาะสมด้วยการเคลื่อนที่ของกลุ่มอนุภาคที่เปลี่ยนแปลงแล้วแสดงดังตารางที่ 4 Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, pp. 1-4, 2018.
S. Chansareewittaya, "Hybrid Differential Evolutionary/Tabu Search for Economic Dispatch and Environmental Dispatch," 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Rai, Thailand, pp. 9-12, 2018.
Arthit Srikaew. Computational Intelligence. Suranaree University of Technology, 2558.
S. Chansareewittaya, “Hybrid MODE/TS for Environmental Dispatch and Economic Dispatch,” ECTI-EEC, vol. 17, no. 1, pp. 78-86, Sep. 2019.
S. Chansareewittaya, “Economic Dispatch Using Modified Hybrid BA/ATS,” ECTI-CIT, vol. 14, no. 1, pp. 30-36, Mar., 2020.
S. Chansareewittaya, ”Modified EP/sin for Optimal Power Flow with Economic Dispatch,” Srinakharinwirot Engineering Journal, vol. 14, issue 1, pp.56-66, 2019.
J. Kennedy and R. Eberhart, “Particle swarm optimization,” IEEE International Conference of Neural Networks, vol.4, pp. 1942–1948, 1995.
S. Chansareewittaya and P. Jirapong, "Power transfer capability enhancement with multitype FACTS controllers using particle swarm optimization," TENCON 2010 - 2010 IEEE Region 10 Conference, Fukuoka, pp. 42-47, 2010.
S. Chansareewittaya and P. Jirapong, "Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA," 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Phetchaburi, pp. 1-4, 2012.
S. Chansareewittaya and P. Jirapong, "Total transfer capability enhancement with optimal number of FACTS controllers using hybrid TSSA," 2012 Proceedings of IEEE Southeastcon, Orlando, FL, pp. 1-7, doi: 10.1109/SECon.2012.6197079, 2012.
T. Jatturongkapolkul and B. Panomruttanarug, "Frequency domain system identification for servo system in HGA testing system using Particle Swarm Optimization," IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, VIC, pp. 587-591, 2011.
RMS Danaraj, Optimal Power Flow by Vector PSO (https://www.mathworks.com/matlabcentral/fileexchange/46002-optimal-power-flow-by-vector-pso), MATLAB Central File Exchange. Retrieved August 5, 2020.