An effective design of hybrid renewable energy system using an improved Archimedes Optimization Algorithm: A case study of Farafra, Egypt

Optimizing Hybrid Renewable Energy Systems:Novel Models and Heuristic Algorithms

“…Throughout the most recent year, there has been a surge of diverse approaches dedicated to the optimization of HRES. These innovative methods and strategies have been documented in a range of references, including [39], [40], [41], [42], [43], [44], and [45]. This dynamic landscape of research reflects the ongoing efforts to enhance the efficiency and performance of HRES.…”

Jellyfish search algorithm for optimization operation of hybrid pumped storage-wind-thermal-solar photovoltaic systems

“…However, the most significant disadvantage of the RPPs is their power output, which is highly dependent on weather conditions and not controllable according to load demand [ 3 ]. To solve the big problem of the RPPs, the studies [ [4] , [5] , [6] ] proposed the integration of a battery energy storage system (BESS) into a hybrid system based on solar panels (SPs), diesel generators (DGs) and wind turbines (WTs) to reach the minimum net present cost, which is the sum of the capital cost, operation and maintenance cost, replacement cost, and diesel fuel cost. The study [ 4 ] designed one hybrid renewable energy system with BESS, SPs, DGs, and WTs for a microgrid in Dakhla, Morocco.…”

“…As a result, the first hybrid renewable energy system's cost was 286,874 $, equivalent to an energy cost of 0.2309 $/kWh, but the second system's cost was 322,674 $, equivalent to an energy cost of 0.2597 $/kWh. The study [ 6 ] designed three hybrid renewable energy systems for a microgrid in the Farafra region of Egypt. The study [ 6 ] considered all components, including BESS, SPs, DGs, and WTs for the first system; however, it neglected WTs for the second system and SPs for the third system.…”

“…The study [ 6 ] designed three hybrid renewable energy systems for a microgrid in the Farafra region of Egypt. The study [ 6 ] considered all components, including BESS, SPs, DGs, and WTs for the first system; however, it neglected WTs for the second system and SPs for the third system. As a result, the first system could reach the best results with the best net present cost of $187,181, corresponding to energy's levelized cost of 0.213 $/kWh.…”

“…The total cost and energy cost were $214,530 and 0.2452 $/kWh respectively for the second system and $603,026 and 1.81 $/kWh respectively for the third system. The three studies [ [4] , [5] , [6] ] indicated that photovoltaics and wind turbines are essential for microgrids with BESS; meanwhile, BESS has played a significant role in using renewable energies the most effectively. For large power systems with thermal power plants, the long start-up time of the fossil-burning process in generating units and the uncertainty of solar radiation and wind speeds become serious impacts on the stability of power systems.…”