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Pregled bibliografske jedinice broj: 1260577

Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems


Dandotia, Ashish; Kumar Gupta, Mukesh; Kumar Banerjee, Malay; Kumar Singh, Suraj; Đurin, Bojan; Dogančić, Dragana; Kranjčić, Nikola
Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems // Energies, 16 (2023), 6; 2637, 20 doi:10.3390/en16062637 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1260577 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems

Autori
Dandotia, Ashish ; Kumar Gupta, Mukesh ; Kumar Banerjee, Malay ; Kumar Singh, Suraj ; Đurin, Bojan ; Dogančić, Dragana ; Kranjčić, Nikola

Izvornik
Energies (1996-1073) 16 (2023), 6; 2637, 20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
voltage profile ; SVC ; genetic algorithm ; TVDN ; total reduction cost ; cost function ; IEEE 14-bus systems ; solar generation

Sažetak
Given the concern for maintaining voltage stability in power systems integrated with renewable power systems due to a mismatch in generation and demand, there remains a need to invoke flexible alternating current transmission system (FACTS) devices in the distribution network. The present paper deals with identifying the locations of placement of a static var compensator in an experimental IEEE 14-bus system ; the voltage drop in different buses in an IEEE 14- bus system is calculated by the standard formula. The total voltage drop in the network (TVDN) is also calculated as a reference. The ranking of buses in order of decreasing voltage drop is made, and the weak buses are identified as those showing the maximum or near-maximum voltage drop for the installation of a Static Var Compensator (SVC). The optimum usable size is calculated using a Genetic Algorithm approach to optimize the installation cost. After size optimization, installing a 2 MW solar generator is considered for the weak and most potential bus, which suffers from voltage drops or power loss. Based on the generator at the weakest bus, the total power loss in the network is calculated and compared with a similar method to assess the efficiency of the proposed model. Thus, the voltage stability enhancement problem is solved by applying a Genetic algorithm (GA) to optimize SVC size and using the Total Voltage Drop in Network (TVDN) method to identify weak buses in the systems. It is found that the performance of the proposed system is comparable with another existing system. It is further observed that a gain in power loss to 6.56% is achievable by adopting the proposed strategy, and the gain is better than the other system.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Građevinarstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Ustanove:
Geotehnički fakultet, Varaždin,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Bojan Đurin (autor)

Avatar Url Nikola Kranjčić (autor)

Avatar Url Dragana Dogančić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Dandotia, Ashish; Kumar Gupta, Mukesh; Kumar Banerjee, Malay; Kumar Singh, Suraj; Đurin, Bojan; Dogančić, Dragana; Kranjčić, Nikola
Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems // Energies, 16 (2023), 6; 2637, 20 doi:10.3390/en16062637 (međunarodna recenzija, članak, znanstveni)
Dandotia, A., Kumar Gupta, M., Kumar Banerjee, M., Kumar Singh, S., Đurin, B., Dogančić, D. & Kranjčić, N. (2023) Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems. Energies, 16 (6), 2637, 20 doi:10.3390/en16062637.
@article{article, author = {Dandotia, Ashish and Kumar Gupta, Mukesh and Kumar Banerjee, Malay and Kumar Singh, Suraj and \DJurin, Bojan and Dogan\v{c}i\'{c}, Dragana and Kranj\v{c}i\'{c}, Nikola}, year = {2023}, pages = {20}, DOI = {10.3390/en16062637}, chapter = {2637}, keywords = {voltage profile, SVC, genetic algorithm, TVDN, total reduction cost, cost function, IEEE 14-bus systems, solar generation}, journal = {Energies}, doi = {10.3390/en16062637}, volume = {16}, number = {6}, issn = {1996-1073}, title = {Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems}, keyword = {voltage profile, SVC, genetic algorithm, TVDN, total reduction cost, cost function, IEEE 14-bus systems, solar generation}, chapternumber = {2637} }
@article{article, author = {Dandotia, Ashish and Kumar Gupta, Mukesh and Kumar Banerjee, Malay and Kumar Singh, Suraj and \DJurin, Bojan and Dogan\v{c}i\'{c}, Dragana and Kranj\v{c}i\'{c}, Nikola}, year = {2023}, pages = {20}, DOI = {10.3390/en16062637}, chapter = {2637}, keywords = {voltage profile, SVC, genetic algorithm, TVDN, total reduction cost, cost function, IEEE 14-bus systems, solar generation}, journal = {Energies}, doi = {10.3390/en16062637}, volume = {16}, number = {6}, issn = {1996-1073}, title = {Optimal Placement and Size of SVC with Cost- Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems}, keyword = {voltage profile, SVC, genetic algorithm, TVDN, total reduction cost, cost function, IEEE 14-bus systems, solar generation}, chapternumber = {2637} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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