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Article

Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique

1
Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India
2
Department of Electrical Engineering, Shri G.S. Institute of Technology and Science, Indore 452003, Madhya Pradesh, India
3
Electrical and Automotive Parts Manufacturing Unit, AA Industries, Chennai 600123, Tamilnadu, India
4
School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia
5
Centre for Intelligent Systems, School of Engineering and Technology, Central Queensland University, Brisbane, QLD 4000, Australia
*
Authors to whom correspondence should be addressed.
Energies 2020, 13(21), 5631; https://doi.org/10.3390/en13215631
Received: 31 August 2020 / Revised: 16 October 2020 / Accepted: 22 October 2020 / Published: 28 October 2020
This article presents the Reliability Assessment (RA) of renewable energy interfaced Electrical Distribution System (EDS) considering the electrical loss minimization (ELM). ELM aims at minimizing the detrimental effect of real power and reactive power losses in the EDS. Some techniques, including integration of Renewable Energy Source (RES), network reconfiguration, and expansion planning, have been suggested in the literature for achieving ELM. The optimal RES integration (also referred to as Distributed Generation (DG)) is one of the globally accepted techniques to achieve minimization of electrical losses. Therefore, first, the locations to accommodate these DGs are obtained by implementing two indexes, namely Index-1 for single DG and Index-2 for multiple DGs. Second, a Constriction Factor-based Particle Swarm Optimization (CF-PSO) technique is applied to obtain an optimal sizing(s) of the DGs for achieving the ELM. Third, the RA of the EDS is performed using the optimal location(s) and sizing(s) of the RESs (i.e., Solar photovoltaic (SPV) and Wind Turbine Generator (WTG)). Moreover, a Battery Storage System (BSS) is also incorporated optimally with the RESs to further achieve the ELM and to improve the system’s reliability. The result analysis is performed by considering the power output rating of WTG-GE’s V162-5.6MW (IECS), SPV-Sunpower’s SPR-P5-545-UPP, and BSS-Freqcon’s BESS-3000 (i.e., Battery Energy Storage System 3000), which are provided by the corresponding manufacturers. According to the outcomes of the study, the results are found to be coherent with those obtained using other techniques that are available in the literature. These results are considered for the RA of the EDS. RA is further analyzed considering the uncertainties in reliability data of WTG and SPV, including the failure rate and the repair time. The RA of optimally placed DGs is performed by considering the electrical loss minimization. It is inferred that the reliability of the EDS improves by contemplating suitable reliability data of optimally integrated DGs. View Full-Text
Keywords: battery storage system; distributed generation; electrical loss minimization; particle swarm optimization; reliability analysis; solar photovoltaic, wind turbine generator battery storage system; distributed generation; electrical loss minimization; particle swarm optimization; reliability analysis; solar photovoltaic, wind turbine generator
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MDPI and ACS Style

Kumar, S.; Sarita, K.; Vardhan, A.S.S.; Elavarasan, R.M.; Saket, R.K.; Das, N. Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique. Energies 2020, 13, 5631. https://doi.org/10.3390/en13215631

AMA Style

Kumar S, Sarita K, Vardhan ASS, Elavarasan RM, Saket RK, Das N. Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique. Energies. 2020; 13(21):5631. https://doi.org/10.3390/en13215631

Chicago/Turabian Style

Kumar, Sachin, Kumari Sarita, Akanksha S.S. Vardhan, Rajvikram M. Elavarasan, R. K. Saket, and Narottam Das. 2020. "Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique" Energies 13, no. 21: 5631. https://doi.org/10.3390/en13215631

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