Comprehensive approach for distribution system planning with uncertainties

Seta, Felipe da Silva; Oliveira, Leonardo W. de; Oliveira, Edimar J. de

doi:10.1049/iet-gtd.2019.0698

Cited by 15 publications

(13 citation statements)

References 32 publications

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“…The system reliability, stability, and power quality are thus, improved substantially. Therefore, to obtain improvements in system's attributes, the multi-objective optimization methods for problems including operational cost, siting and sizing of distributed energy resources (DERs), Carbon Dioxide (CO 2 ) emission, total power loss, voltage deviation, demand-side management, charging-discharging of BSS, total harmonic distortion, and system reliability are also established [13][14][15][16][17].…”

Section: Literature Surveymentioning

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%

“…Thus, the optimal siting and optimal sizing of RESs for further RA have also been considered. 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%

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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“…The DNP problem in [5][6][7][8] is solved deterministically and the uncertainties of load demand and DG are not considered. The single-stage method presented in [9] determines the reinforcement and expansion plan of distribution networks considering uncertainties over load demand and wind-based distributed generation. The uncertainties of load demand and renewable generation are also considered in the multistage DNP methods of [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…In [5][6][7][8], only DDG units are considered in the planning process ignoring the uncertainties of the DNP problem. The uncertainties of load demand and renewable generation are considered in the DNP methods presented in [9][10][11][12]. However, in [9][10][11][12], the penetration level of RES in the distribution network is relatively low, without addressing the technical challenges derived from the high penetration of RES in the distribution networks and without exploiting the capabilities of the active network management (ANM) for the solution of the DNP problem.…”

Section: Introductionmentioning

confidence: 99%

A multistage distribution network planning method considering distributed generation active management and demand response

Koutsoukis

Georgilakis

2021

IET Renewable Power Gen

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This paper proposes a multistage distribution network planning (DNP) method that considers multiple planning alternatives, the active management of distributed generation (DG) units and demand response in the context of active distribution networks (ADNs). Representative days are selected for the consideration of uncertainties related with load demand and renewable power generation, during the planning period. The proposed DNP method aims at minimising the net present value of the total investment and operational cost. The proposed DNP considers multiple planning alternatives, such as the reinforcement of existing substations and existing distribution lines, the installation of new distribution lines, and the installation of capacitors. Furthermore, the proposed DNP method incorporates the control capabilities of DG active and reactive power output and demand response schemes. A 24-bus distribution network and a 144-bus real world distribution network are used to validate the performance of the proposed method.

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“…However, all those works only focus on techno-economic aspects of single alternatives. Furthermore, they do not consider the multi-year nature of the planning problem of LV networks (similar to those in MV networks [24][25][26][27][28][29][30][31][32][33]).…”

Section: Introductionmentioning

confidence: 99%

Multi‐year planning of LV networks with EVs accounting for customers, emissions and techno‐economics aspects: A practical and scalable approach

Quirós-Tortós

Ochoa

2020

IET Generation Trans & Dist

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The uptake of electric vehicles (EVs) is expected to trigger investments to adapt existing distribution networks, particularly in the low voltage (LV). To make adequate, holistic planning decisions over multiple years, the assessment of alternatives-such as reinforcements or the adoption of EV management strategies-must not only capture when the investments are needed but also the effects on customers and carbon emissions, all while accounting for uncertainties. This paper proposes a stochastic, practical, and scalable progressive multi-year planning methodology that considers technical, customer, economic and environmental aspects to make holistic planning decisions for existing LV networks to accommodate EVs. The proposed rule-based methodology contrasts the net present value and benefits of four planning alternatives: network reinforcements, EV charging point management, and their combinations. Uncertainties are catered for by adopting a Monte Carlo approach. Using two real UK LV networks and realistic time-series data, results demonstrate the importance of a holistic decision-making approach. From an economic perspective, EV management is better for voltage issues, and reinforcements for thermal problems. However, when customer effects are considered, the management can lead to unacceptable charging delays. Combinations, on the other hand, provide trade-offs between cost and the effects on customers or carbon emissions. 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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Comprehensive approach for distribution system planning with uncertainties

Cited by 15 publications

References 32 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

A multistage distribution network planning method considering distributed generation active management and demand response

Multi‐year planning of LV networks with EVs accounting for customers, emissions and techno‐economics aspects: A practical and scalable approach

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