التفاصيل البيبلوغرافية
العنوان: |
Optimal Energy Management of Parking Lots in Microgrid to Reduce Operation Cost by Dynamic Parameters Lightening Search Algorithm. |
المؤلفون: |
Lamouki, Hamid Ghobadi, Shokouhandeh, Hassan, Kamarposhti, Mehrdad Ahmadi, Matankolaei, Fariba Asghari, Padmanaban, Sanjeevikumar, Kang, Sun-Kyoung, Colak, Ilhami |
المصدر: |
Journal of Circuits, Systems & Computers; 5/30/2024, Vol. 33 Issue 8, p1-21, 21p |
مصطلحات موضوعية: |
SEARCH algorithms, DIESEL electric power-plants, MICROGRIDS, PARKING lots, FOSSIL fuel power plants, ENERGY management, PARK management, HYBRID electric vehicles |
مستخلص: |
In this paper, a dynamic parameters lightning search algorithm (DP-LSA) is proposed for optimal operation management of electric vehicle (EV) parking lots (PLs) and distributed generations (DGs) in a microgrid (MG). The MG comprises distributed generation sources such as diesel generators and fuel cells. The batteries of electric vehicles parked in the PL are also used for energy storage. A proposed objective function combines operating, maintenance, and replacement costs, considering inflation, motivation, and annual growth. Simulations are done in two scenarios, and the proposed algorithm results are compared with particle swarm optimization (PSO) algorithm results. Simulation results prove the better performance of the proposed LSA algorithm than the PSO algorithm in reducing the microgrid operation cost. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |