A solution to multi‐objective optimal accommodation of distributed generation problem of power distribution networks: An analytical approach

Babu, B. Kiran; Sydulu, M.

doi:10.1002/2050-7038.12093

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…In this optimization method, the optimum location and the size of the SPV array are observed, and then the BSS size with location is determined for accomplishing further reduction in electrical losses and voltage deviation. The authors in [20] have proposed an index to obtain the optimal siting of DGs in EDS. This index is implemented to resolve the multiple problems, including total ELM, ENS, and voltage deviation.…”

Section: Literature Surveymentioning

confidence: 99%

“…To fulfill the RA in EDS [15], has introduced a restoration strategy for ENS calculation. The optimization of reliability indices has been considered in [20,23], and the improvement in the system's reliability is observed.…”

Section: Literature Surveymentioning

confidence: 99%

“…Several reliability indices exist to observe the system's reliability such as EENS, AENS, SAIDI, SAIFI, and ASAI which are also used in this study to analyze the reliability improvement. The indices of the network reliability are dependent function of failure rate (λ p ) and repair time (RT) as given in Equation ( 24) [20,23,52].…”

Section: Reliability Indicesmentioning

confidence: 99%

“…It refers as thermal capacity of the EDS lines. The current in the distribution lines must be within limits and should exceed the maximum current as given in Equation ( 33) [20].…”

Section: Branch Currentmentioning

confidence: 99%

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

Kumar

Sarita

Vardhan³

et al. 2020

Energies

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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.

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Reliability Indicesmentioning

confidence: 99%

“…It refers as thermal capacity of the EDS lines. The current in the distribution lines must be within limits and should exceed the maximum current as given in Equation ( 33) [20].…”

Section: Branch Currentmentioning

confidence: 99%

See 2 more Smart Citations

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

Kumar

Sarita

Vardhan³

et al. 2020

Energies

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“…12,13 DGs can support system voltage, reduce system losses, improve the reliability and security of the system, and relieve the distribution and upgrade of the system. 14 The impact of distributed DG generation on voltage regulation and power loss in distribution systems is discussed in Reference 15. In Reference 16 a technique is presented to evaluate the effect of DG size and layout on losses, reliability, and voltage profiles of distribution grids.…”

Section: Introductionmentioning

confidence: 99%

Impact of replacing overhead lines with aerial bundled cable, and installation of new transformers to reduce losses and improve distribution network voltage profiles, technical and economic analysis

Abdollahi

Moradi

Alizadeh

et al. 2020

Engineering Reports

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Today, reducing distribution system losses is a top priority in the design and operation of electricity grids. In an electricity grid, a significant percentage of the power and energy generated in power stations is wasted on the way to the transmission system. Losses can occur at all levels of the system's power, namely, production, transmission, and distribution system. The low voltage level, high current level, and radial distribution system structure leads to an increase in the percentage of losses in the distribution sector. For example, in 2018, about 80% of power system losses occurred in distribution systems in Iran. Several methods have been proposed to reduce the losses such as placing capacitors at medium and low voltage levels, reconfiguring the grids, increasing the cross-section in conductors, and so on in recent years. In this article, two practical and effective solutions to reduce losses in the distribution system are studied and analyzed. The first solution is to install transformers in overload points of the network to reduce technical losses and increase the reliability and stability of the grid and improve voltage profiles, and the second solution is the plan to replace the overhead lines with the aerial bundled cable to reduce nontechnical losses. Sheet 13 of Qom distribution system is considered as a study network in order to investigate and analyze the impact of implementing these two proposed solutions in reducing losses and it also uses the data of data logger device installed in the distribution system as well as the simulation data obtained in the CYMDIST software. In order to more accurately and comprehensively analyze the impact of the proposed solutions on loss reduction, based on the annual load growth in the Qom distribution system, studies are presented for 5 years. Finally, based on two suggested solutions, three scenarios are presented and the effective scenario is identified and This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks

Eid

Kamel

Abualigah

2021

Neural Comput & Applic

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A solution to multi‐objective optimal accommodation of distributed generation problem of power distribution networks: An analytical approach

Cited by 9 publications

References 45 publications

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

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

Impact of replacing overhead lines with aerial bundled cable, and installation of new transformers to reduce losses and improve distribution network voltage profiles, technical and economic analysis

Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks

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