Abstract
Economic emission dispatch, which is of great importance on the operation of electrical power systems, aims to minimize the total fuel cost and the emission of the system. Also, demand load and any other constraints such as generation capacity constraints and ramp rate limits should be met. This paper proposes two heuristic methods, Genetic Algorithm and Particle Swarm Optimization to solve economic emission dispatch problem considering transmission losses, valve point effect and ramp rate limits. The proposed algorithms were implemented to two test systems of 5-unit and 10-unit and obtained results were compared with the other algorithms in literature. As a result, implementation of the proposed algorithms on economic emission dispatch problems in power systems of various sizes is successful, reliable and flexible.
Original language | English |
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Title of host publication | IEEE Global Energy Conference, GEC 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 7-12 |
Number of pages | 6 |
ISBN (Electronic) | 9781665497510 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Global Energy Conference, GEC 2022 - Batman, Turkey Duration: 26 Oct 2022 → 29 Oct 2022 |
Publication series
Name | IEEE Global Energy Conference, GEC 2022 |
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Conference
Conference | 2022 IEEE Global Energy Conference, GEC 2022 |
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Country/Territory | Turkey |
City | Batman |
Period | 26/10/22 → 29/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- economic emission dispatch
- heuristic methods
- ramp rate limits
- valve point effect