Optimal placement and sizing of photovoltaics and battery storage in distribution networks

Chedid, R.; Sawwas, Ahmad

doi:10.1002/est2.46

Cited by 56 publications

(15 citation statements)

References 29 publications

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“…Grid reinforcement may be another solution that can reduce feeder losses but it is a costlier solution 107 . BESS can be used to consume surplus PV energy during the peak generation and thus reducing the voltage rise impact of PV in grid 108 as shown in Figure 11. According to the network requirement, BESS can be designed to regulate grid voltage within the allowable limit by consuming surplus energy or regulating reactive power.…”

Section: Bess Application In Renewable Energy Systemmentioning

confidence: 99%

A review of key functionalities of battery energy storage system in renewable energy integrated power systems

2021

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Renewable energy sources (RES), such as photovoltaics (PV) and wind turbines have been widely applied as alternative energy solutions to address the global environmental concern and satisfy the energy demand. The large‐scale amalgamation of intermittent RES causes reliability and stability distress in the electric grid. To mitigate the nature of fluctuation from RES, a battery energy storage system (BESS) is considered one of the utmost effective and efficient arrangements which can enhance the operational flexibility of the power system. This article provides a comprehensive review to point out various applications of BESS technology in reducing the adverse impacts of PV and wind integrated systems. The key focus is given to battery connection techniques, power conversion system, individual PV/wind, and hybrid system configuration. The application of BESS is categorized into three areas, active, reactive, and active‐reactive power features. The key findings of the existing research of BESS application are summarized and discussed along with several simulation results. By taking a thorough review, this article identifies the key challenges of BESS application including battery charging/discharging strategy, battery connection, power conversion efficiency, power converter, RES forecast, and battery lifetime and suggests future research directions that could be explored during the design, operation, and implementation of BESS technology in the power system.

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Section: Bess Application In Renewable Energy Systemmentioning

confidence: 99%

A review of key functionalities of battery energy storage system in renewable energy integrated power systems

2021

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“…The DGs and BSSs are scheduled optimally to alleviate this transmission line congestion. A two-step optimization approach is used for solving the congestion problem [19]. 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.…”

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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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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“…[40] and Chedid et al. [41] have determined allocation of solar/wind based DGs and storage. However, impact of penetration level has not been analysed.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of distributed energy resource penetration and placement using probabilistic framework

Paliwal

2021

IET Renewable Power Gen

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Integration of distributed energy resources (DERs) affect system performance in multitude of ways such as reliability, losses and voltage profile. Thus, increasing distributed energy resource penetration necessitates impact assessment particularly when DERs comprise of stochastic RES based distributed generators (DGs) and storage system. This paper presents a formulation for the analysis of DER penetration and placement on system losses and voltage profile in probabilistic framework. Penetration level has been defined, giving due consideration to stochastic behaviour of RES based distributed generators. The work presented incorporates analysis and consideration of two important factors in placement problem, that is, intermittent nature of RES based distributed generators and dual nature of storage units. In order to account for uncertainties inherently present in RES, probabilistic load flow has been used in this work. Placement problem is solved for three different penetration levels, that is, 20%, 40% and 60% using utterfly particle swarm optimisation. The impact of seasonal effect on system losses and voltage profile in correlation with penetration levels has also been investigated. Results provide useful insights for identification of optimum penetration level.

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Optimal placement and sizing of photovoltaics and battery storage in distribution networks

Cited by 56 publications

References 29 publications

A review of key functionalities of battery energy storage system in renewable energy integrated power systems

A review of key functionalities of battery energy storage system in renewable energy integrated power systems

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

Comprehensive analysis of distributed energy resource penetration and placement using probabilistic framework

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