Optimal location, selection, and operation of battery energy storage systems and renewable distributed generation in medium–low voltage distribution networks

Valencia, Alejandro; Isaza, Ricardo Alberto Hincapié; Gallego, Ramón Alfonso

doi:10.1016/j.est.2020.102158

Cited by 84 publications

(54 citation statements)

References 24 publications

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“…First, the siting and sizing decision, which affects its performance and it is subject to the characteristics of the network. As an optimisation problem, the siting and sizing problem has been proposed as a mathematical programming method (e.g., mixed integer linear programming problem [14]), as a heuristic method (e.g., genetic algorithms [11]) or other common methodologies such as analytical methods and exhaustive search [15]. These methods include multiple parameters and technical characteristics as input for these models to respond to the optimisation functions proposed.…”

Section: Introductionmentioning

confidence: 99%

“…These methods include multiple parameters and technical characteristics as input for these models to respond to the optimisation functions proposed. A review of the current literature indicates that studies on this topic focus mainly on optimising functions related to technical parameters of the network or storage system, at transmission or distribution level, and the economic considerations are often overlooked when addressing the sizing and siting of centralised BESS [4], [14]. A second consideration regards the applications or services that BESS can provide, which are typically classified into power or energy applications attending to the time span of application [16].…”

Section: Introductionmentioning

confidence: 99%

“…A second consideration regards the applications or services that BESS can provide, which are typically classified into power or energy applications attending to the time span of application [16]. For example, in [14], the authors analysed the optimal location of BESS considering both primary and secondary distribution networks and concluded that BESS can reduce the total purchase cost of energy from the distribution substation.…”

Section: Introductionmentioning

confidence: 99%

“…Overall, the majority of related previous studies have shown how, despite of the technical benefits, the economic viability of distributed BESS is marginal, limited or negative [19], [22], [23]. Yet, there are studies in the literature where the combined investment of BESS and distributed generation assets is positive (e.g., [14]), or where transmission-oriented services can bring a positive profitability to BESS (e.g., [21]) or marginal depending on the economic compensation (e.g., [24]). Nevertheless, a survey of the literature with a focus on centralised BESS illustrates a gap and urge for further development of distribution-oriented services provision.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Techno-Economic Assessment of Grid-Level Battery Energy Storage Supporting Distributed Photovoltaic Power

Lopez‐Lorente¹,

Liu

Best

et al. 2021

IEEE Access

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Centralised, front-of-the-meter battery energy storage systems are an option to support and add flexibility to distribution networks with increasing distributed photovoltaic systems, which generate renewable energy locally and help decarbonise the power sector. However, the provision of specific services at distribution level remains under development for real applications in industry. To this end, this paper presents an exhaustive techno-economic analysis of the role of front-of-the-meter battery energy storage systems in primary distribution networks with presence of distributed PV covering: (i) the siting decision for storage systems using multi-objective genetic algorithm optimisation; (ii) the response when smart capabilities for PV inverters (e.g., volt-var control) are present; and (iii) the quantification of revenue streams and compensation schemes that would bring positive profitability when providing distributionspecific services based on the supply of real and reactive power. The performance of grid-level battery energy storage technology is evaluated in the IEEE 34-bus system particularised to the distribution code of Northern Ireland, UK. The techno-economic assessment covers one year of simulations at 1-minute resolution performed with the simulation tool EPRI OpenDSS and its Python communication interface. The results show that, besides the technical benefits of centralised battery storage systems, the economic compensation based on traditional transmission-level services is not sufficient for the profitability of these projects. Several ideas are explored to improve the profitability of these systems considering the local value and decarbonisation they add. The findings presented can direct system operators and regulators towards developing schemes to incentivise centralised battery energy storage projects in distribution networks in the context of distribution-level services.INDEX TERMS battery energy storage systems, distribution network services, distributed solar energy, flexibility services, photovoltaic power.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Techno-Economic Assessment of Grid-Level Battery Energy Storage Supporting Distributed Photovoltaic Power

Lopez‐Lorente¹,

Liu

Best

et al. 2021

IEEE Access

View full text Add to dashboard Cite

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“…These features in the electrical distribution networks make these highly affected by energy losses inherent to the distribution tanks, since part of the purchase energy at the substation node is transformed into heat energy [3]. The problem of power losses in electrical distribution networks in the specialized literature has been proposed multiple compensation strategies that include: (i) installation of capacitor banks and distribution system compensators (D-STATCOM) [4]; (ii) installation of battery energy storage systems [5]; (iii) grid reconfiguration [6]; and optimal placement and sizing of DG [7]. All of these approaches have positive effects regarding the amount of power losses reduction, being the optimal location and sizing of the DG the approach that allow reductions higher that 50 % [8].…”

Section: Introductionmentioning

confidence: 99%

Black hole optimizer for the optimal power injection in distribution networks using DG

Montoya

Ramı́rez

Grisales-Noreña

2021

J. Phys.: Conf. Ser.

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The optimal sizing of Distributed Generators (DG) in electric power distribution networks is carried out through a metaheuristic optimization strategy. To size DG it is proposed an optimal power flow model is formulated by considering that the location of these sources has been previously defined by the distribution company. The solution of the optimal power flow is reached with the Black Hole Optimizer (BHO). A methodology is used master-slave optimization methodology, where the BHO (i.e., master stage) defines the sizes of the DG and the slave stage evaluates the objective function with a load flow algorithm, this work using the triangular-based power flow method. Numerical results in the 33-node and the 69-node test system demonstrates the effectiveness and robustness of the proposed approach when compared with literature results.

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Energy management strategies in distribution system integrating electric vehicle and battery energy storage system: A review

Vanlalchhuanawmi,

Deb,

Onen

et al. 2024

Energy Storage

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The electricity sector is witnessing a rise in renewable energy sources and the widespread adoption of electric vehicles, posing new challenges for distribution system. Additionally, the surge in carbon emissions resulting from industrialization and population growth continues to worsen global warming and climate change. In response, integrating electric vehicles (EVs) and battery energy storage systems (BESS) has emerged as a critical strategy, presenting both challenges and opportunities in effective energy management. BESSs offer potential solutions to mitigate these impacts. Furthermore, this review thoroughly explores issues related to lithium‐ion batteries, particularly in the context of EVs and energy management systems (EMS), identifies challenges, and provides recommendations for future research directions. The article concludes by outlining the current extent of investigation in the field of BESS and EV systems to provide researchers with a clear understanding. The escalation of carbon emissions stemming from industrialization and population expansion has worsened the effects of global warming and climate change. To address this challenge, the integration of Electric EVs and energy storage systems (ESS) has emerged as a pivotal strategy. This study examines optimization techniques, methodologies, and the evolving market landscape in distributed systems, with a focus on EVs and BESS. It also explores issues related to lithium‐ion batteries, particularly in the context of EVs and energy management systems. The article highlights the challenges and opportunities in the field of BESS and EV systems, emphasizing the need for ongoing research. BESSs offer potential solutions to mitigate these impacts. Moreover, it offers an extensive analysis of the existing BESS installations, outlining main areas of interest, pointing out difficulties, clarifying areas of unfinished study, and providing future directions.

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Optimal location, selection, and operation of battery energy storage systems and renewable distributed generation in medium–low voltage distribution networks

Cited by 84 publications

References 24 publications

Techno-Economic Assessment of Grid-Level Battery Energy Storage Supporting Distributed Photovoltaic Power

Techno-Economic Assessment of Grid-Level Battery Energy Storage Supporting Distributed Photovoltaic Power

Black hole optimizer for the optimal power injection in distribution networks using DG

Energy management strategies in distribution system integrating electric vehicle and battery energy storage system: A review

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