ENHANCED LSHADESPACMA ALGORITHM FOR ENERGY HUB OPTIMIZATION INCORPORATING STOCHASTIC WIND AND SOLAR ENERGY

Authors : Burçin Özkaya, Uğur Güvenç, Okan Bingöl

Pages : 103-112

Doi:10.22531/muglajsci.1481327

View : 36 | Download : 47

Publication Date : 2024-06-30

Article Type : Research Paper

Abstract :Nowadays, with the use of various energy technologies, interest in integrated energy systems is increasing, where the energy hub(EH) is the most attractive in them. EH optimization problems are the complex and high-dimensional due to the combining the different energy sources and the generation of different demands at the output. For this reason, the meta-heuristic search algorithms needs to be used to solve the EH problems. In this study, a novel LSHADE with semi-parameter adaptation hybrid with CMA-ES including fitness-distance balance(FDB-LSHADESPACMA) was developed to solve EH optimization problems. Using the five input energy carriers and four output energy sources, different EH structures were created and three test systems were presented to the literature for the first time. Besides, two objective functions were used which are minimization of total cost and total loss. To validate the performance of FDB-LSHADESPACMA, it was applied on benchmark and EH optimization problems. In experimental study about EH optimization problems, six case studies were considered. Accordingly, the FDB-LSHADESPACMA was obtained 3292.2784mu, 1.6753pu, 5052.0203mu, 2.1126pu, 5217.2151mu, and 2.7051pu for Case-1, Case-2, Case-3, Case-4, Case-5, and Case-6, respectively. The simulation results demonstrated that FDB-LSHADESPACMA achieved successful performance for solving both EH optimization and benchmark problems.
Keywords : Enerji hub, Optimizasyon, Uygunluk Mesafe Dengesi, LSHADESPACMA algoritması