A new method of decision making in multi-objective optimal placement and sizing of distributed generators in the smart grid

• Autorzy: Khoshayand Hossein Ali , Wattanapongsakorn Naruemon , Mahdavian Mehdi , Ganji Ehsan

Identyfikatory

DOI

10.24425/aee.2023.143701

• Języki publikacji: EN

Abstrakty

EN

One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a single DG significantly increases the degree of freedom in designing the power system. In this paper, the optimal placement and sizing of two DGs in the standard IEEE 33-bus network have been investigated with three objective functions which are the reduction of network losses, the improvement of voltage profiles, and cost reduction. In this way, by using the backward-forward load distribution, the load distribution is performed on the 33-bus network with the power summation method to obtain the total system losses and the average bus voltage. Then, using the iterative search algorithm and considering problem constraints, placement and sizing are done for two DGs to obtain all the possible answers and next, among these answers three answers are extracted as the best answers through three methods of fuzzy logic, the weighted sum, and the shortest distance from the origin. Also, using the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) and setting the algorithm parameters, thirty-six Pareto fronts are obtained and from each Pareto front, with the help of three methods of fuzzy logic, weighted sum, and the shortest distance from the origin, three answers are extracted as the best answers. Finally, the answer which shows the least difference among the responses of the iterative search algorithm is selected as the best answer. The simulation results verify the performance and efficiency of the proposed method.

Słowa kluczowe

EN

backward-forward load distribution; fuzzy logic; iterative search algorithm; multi-objective optimization; shortest distance from the origin; weighted sum

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2023
• Tom: Vol. 72, nr 1
• Strony: 253--271
• Opis fizyczny: Bibliogr. 25 poz., rys., tab., wz.

Twórcy

autor

Khoshayand Hossein Ali

• Department of Electrical Engineering, Naein Branch, Islamic Azad University Iran

• https://orcid.org/0000-0002-6645-6153

autor

Wattanapongsakorn Naruemon

• Department of Computer Engineering, King Mongkut’s University of Technology Thonburi, 126 Prachautid Road, Bangmod, Bangkok 10140, Thailand

• https://orcid.org/0000-0003-4030-5207

autor

Mahdavian Mehdi

• Department of Electrical Engineering, Naein Branch, Islamic Azad University Iran

• https://orcid.org/0000-0003-3464-3592

autor

Ganji Ehsan

• Department of Electrical Engineering, Naein Branch, Islamic Azad University Iran

• https://orcid.org/0000-0002-8189-4709

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).