Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX
نویسندگان
چکیده
This work presents an idea about to design, simulation, and analysis of operational control system in order supervise the operations a hybrid AC/DC microgrid (HMG) different operating modes (connected islanded). The main task this paper is concerned with development implementation global optimization method for solving problems energy crisis HMG adequate algorithm. supervision was developed such way that it coordinates when power should be generated by sources renewable (RES) as PV array or wind turbine produced grid on-grid operation diesel generator (DG) off-grid operation. intended maximize use RES while limiting other emergency (the utility DG). simulation proves management reduces total cost thereby reducing RES. From results, hours proposed algorithm respects real-time under constraints.
منابع مشابه
Optimal Rural Microgrid Energy Management Using HOMER
The microgrid concept is a natural evolution of distributed resources that may be used to serve energy to customers in areas where conventional power system approaches cannot satisfy the reliability needs. Microgrids[2] may also provide support to conventional power systems that are too constrained to meet the power demands of customers. This paper presents a case study of a remote village depe...
متن کاملGlobal Optimization Using Hybrid Approach
The paper deals with a global optimization algorithm using hybrid approach. To take the advantage of global search capability the evolution strategy(ES) with some modifications in recombination is used first to find the near-optimal solutions. The sequential quadratic programming(SQP) is then used to find the exact solution from the solutions found by ES. One merit of the algorithm is that the ...
متن کاملGlobal Optimization of Hybrid Systems
Systems that exhibit both discrete state and continuous state dynamics are called hybrid systems. In most nontrivial cases, these two aspects of system behavior interact to such a significant extent that they cannot be decoupled effectively by any kind of abstraction and must be analyzed simultaneously. Hybrid system models are important in many areas of science and engineering, including flip-...
متن کاملGlobal Learning of Neural Networks by Using Hybrid Optimization Algorithm
This paper proposes a global learning of neural networks by hybrid optimization algorithm. The hybrid algorithm combines a stochastic approximation with a gradient descent. The stochastic approximation is first applied for estimating an approximation point inclined toward a global escaping from a local minimum, and then the backpropagation(BP) algorithm is applied for high-speed convergence as ...
متن کاملHybrid Seeker Optimization Algorithm for Global Optimization
Swarm intelligence algorithms have been succesfully applied to hard optimization problems. Seeker optimization algorithm is one of the latest members of that class of metaheuristics and it has not yet been thorougly researched. Since the early versions of this algorithm were less succesful with multimodal functions, we propose in this paper hybridization of the seeker optimization algorithm wit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2022
ISSN: ['2502-4752', '2502-4760']
DOI: https://doi.org/10.11591/ijeecs.v28.i1.pp12-20