Enhanced multi-objective optimization algorithm for renewable energy sources: optimal spatial development of wind farms

2013 ◽  
Vol 28 (1) ◽  
pp. 83-103 ◽  
Author(s):  
Spiros Karakostas ◽  
Dimitrios Economou
Keyword(s):  
Renewable Energy ◽  
Optimization Algorithm ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Spatial Development ◽  
Energy Sources ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-Objective Optimization of Complex Measures on Supplying Energy to Rural Residential Buildings in Uzbekistan Using Renewable Energy Sources

2020 ◽  
Vol 56 (2) ◽  
pp. 137-148
Author(s):  
A. Halimov ◽  
M. Nürenberg ◽  
D. Müller ◽  
J. Akhatov ◽  
Z. Iskandarov
Keyword(s):  
Renewable Energy ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6962
Author(s):  
Mohamed A. M. Shaheen ◽  
Hany M. Hasanien ◽  
Rania A. Turky ◽  
Martin Ćalasan ◽  
Ahmed F. Zobaa ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Optimization Algorithm ◽  
Optimal Power Flow ◽  
Optimization Problem ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Energy Sources ◽  
Hunger Games ◽  
Generation Costs

This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games search (CHGS). It is applied to solve the optimal power flow (OPF) problem. The OPF is solved to minimize the generation costs while satisfying the systems’ constraints. Moreover, the article presents optimal siting for mixed renewable energy sources, photovoltaics, and wind farms. Furthermore, the effect of adding renewable energy sources on the overall generation costs value is investigated. The exploration field of the optimization problem is the active output power of each generator in each studied system. The CHGS also obtains the best candidate design variables, which corresponds to the minimum possible cost function value. The robustness of the introduced CHGS algorithm is verified by performing the simulation 20 independent times for two standard IEEE systems—IEEE 57-bus and 118-bus systems. The results obtained are presented and analyzed. The CHGS-based OPF was found to be competitive and superior to other optimization algorithms applied to solve the same optimization problem in the literature. The contribution of this article is to test the improvement done to the proposed method when applied to the OPF problem, as well as the study of the addition of renewable energy sources on the introduced objective function.

Multi Objective Optimization and Multi Criterion Decision Making in Expanding Existing Standalone Energy Systems Combining Renewable Energy Sources

2012 ◽  
Author(s):  
Amarasinghage T.D. Perera ◽  
M. Pubudu G. Sirimanna ◽  
Rahula A. Attalage ◽  
Kukulage K.C.K. Perera ◽  
Vishwanath P.C. Dassanayake
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy Sources ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals Multi-Objective Optimization of Hybrid Power System using Magnetotactic Bacteria Moment Migration Optimization Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 5133-5139
Keyword(s):  
Optimization Algorithm ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
Optimization Method ◽  
Energy Sources ◽  
Solar Pv ◽  
Multi Objective Optimization ◽  
System Cost ◽  
Multi Objective ◽  
Alternative Energy Sources

Alternative energy sources are more attractive now a day because of the vanishing of conventional sources in the next few decades, energy crisis and environmental effects. Solar PV and wind are the two emerging sources among the existing renewable energy sources. However intermittent nature and system cost are the two main limitations of renewable sources. Therefore hybridization of photovoltaic, wind with battery can overcome this drawback and improves the reliability as well as efficiency to some extent. The objectives considered in this work are to minimize the hybrid system cost and maximize the energy generation from PV and Wind with a new constraint of Grid Dependency Ratio (GDR). A new multi-objective optimization method is suggested in this work to achieve the aforementioned objectives. The proposed algorithm shows the quick convergence, improved accuracy and minimum processing time compared to the Particle Swarm Optimization algorithm.

scholarly journals Spatial planning and the development of renewable energy sources in Poland

2021 ◽  
pp. 5-14
Author(s):  
Marta Szyba
Keyword(s):  
Renewable Energy ◽  
Rural Areas ◽  
Power Plants ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Spatial Development ◽  
Energy Sources ◽  
Biogas Plants ◽  
Development Plans

Due to the damage to the environment and climate caused by the generation of electricity in power plants burning fossil fuels, installations generating it from renewable energy sources are constructed. Spatial development plans for communes should consider their location. In Poland, generation of electricity in photovoltaic cells, wind farms and agricultural biogas plants has the greatest development potential. Due to the nuisance to people and the environment, wind turbines and agricultural biogas plants must be located far from residential buildings. Such conditions exist in sparsely populated rural areas. The observed development of single-family housing in rural areas is the result of the search for cheap construction sites and no local spatial development plans in most areas of rural communes. Dispersed housing construction restricts the construction of wind farms and agricultural biogas plants and thus poses a threat to renewable sources of wind and biogas energy produced in agricultural biogas plants. The situation may be changed by the requirement to include in spatial development plans the needs related to the construction of installations generating electricity from renewable energy sources and the construction of micro and small biogas plants directly at the sites where waste is generated.

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