Combined Environmental and Economic Dispatch in the Presence of Sustainable Sources Using Particle Swarm Optimization with Adaptive Weighted Delay Velocity
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9033-4_27
Reference16 articles.
1. Manojkumar T, Singh NA (2018) Solution of environmental /economic (EED) power dispatch problem using particle swarm optimization technique. In: International conference on control, power, communication and computing technologies (ICCPCCT), Kannur, pp 347–351. https://doi.org/10.1109/ICCPCCT.2018.8574256
2. Soni S (2020) Using hybrid PSO for solving EELD problem. In 2020 ınternational conference on power electronics and IoT applications in renewable energy and its control (PARC), Mathura, Uttar Pradesh, India, pp 153–158. https://doi.org/10.1109/PARC49193.2020.236578.
3. Rezaie H, Abedi M, Rastegar S, Rastegar H (2019) Economic emission dispatch using an advanced particle swarm optimization technique.World J Eng https://doi.org/10.1108/WJE-04-2018-0126
4. Khan NA, Awan AB, Mahmood A, Razzaq S, Zafar A, Sidhu GA (2015) Combined emission economic dispatch of power system including solar photovoltaic generation. Energy Convers Manageme 92:82–91
5. Ghasemi A, Gheydi M, Javad M, Eslami M (2016) Modeling of wind/environment/ economic dispatch in power system and solving via an online learning meta-heuristic method. Appl Soft Comput J 43:454–468
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