Integration of energy storage in distribution grids

Geth, Frederik; Tant, Jeroen; Haesen, Edwin; Driesen, Johan; Belmans, Ronnie

doi:10.1109/pes.2010.5590082

Cited by 40 publications

(45 citation statements)

References 8 publications

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“…PV-BESS [42] Multi-use [192] PV-BESS [193,194] (e.g., LP, NLP, MILP, DP) PS [143] Industry/PS [195] Stochastic/Meta-heuristic Opt. Grid support [196] Grid support [196] PV-BESS [197,198] …”

Section: Computational Approachmentioning

confidence: 99%

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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Battery energy storage systems have gained increasing interest for serving grid support in various application tasks. In particular, systems based on lithium-ion batteries have evolved rapidly with a wide range of cell technologies and system architectures available on the market. On the application side, different tasks for storage deployment demand distinct properties of the storage system. This review aims to serve as a guideline for best choice of battery technology, system design and operation for lithium-ion based storage systems to match a specific system application. Starting with an overview to lithium-ion battery technologies and their characteristics with respect to performance and aging, the storage system design is analyzed in detail based on an evaluation of real-world projects. Typical storage system applications are grouped and classified with respect to the challenges posed to the battery system. Publicly available modeling tools for technical and economic analysis are presented. A brief analysis of optimization approaches aims to point out challenges and potential solution techniques for system sizing, positioning and dispatch operation. For all areas reviewed herein, expected improvements and possible future developments are highlighted. In order to extract the full potential of stationary battery storage systems and to enable increased profitability of systems, future research should aim to a holistic system level approach combining not only performance tuning on a battery cell level and careful analysis of the application requirements, but also consider a proper selection of storage sub-components as well as an optimized system operation strategy.

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“…PV-BESS [42] Multi-use [192] PV-BESS [193,194] (e.g., LP, NLP, MILP, DP) PS [143] Industry/PS [195] Stochastic/Meta-heuristic Opt. Grid support [196] Grid support [196] PV-BESS [197,198] …”

Section: Computational Approachmentioning

confidence: 99%

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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“…In [12], the siting and sizing of electricity storage is optimized stochastically using an multi-objective genetic algorithm. The optimal integration of battery energy storage units is analysed with respect to several objectives including minimization of total installed power and energy capacity, minimization of large voltage deviation probabilities and maximization of total revenue on a power exchange market.…”

Section: Related Workmentioning

confidence: 99%

Assessment and mitigation of voltage violations by solar panels in a residential distribution grid

Verschueren

Mets

Meersman

et al. 2011

2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Abstract-Distributed renewable electricity generators, such as solar cells and wind turbines introduce bidirectional energy flows in the low-voltage power grid, possibly causing voltage violations and grid instabilities. The current solution to this problem comprises automatically switching off some of the local generators, resulting in a loss of green energy. In this paper we study the impact of different solar panel penetration levels in an residential area and the corresponding effects on the distribution feeder line. To mitigate these problems, we assess how effective it is to locally store excess energy in batteries. A case study on a residential feeder serving 63 houses shows that if 80% of them have photo-voltaic (PV) panels, 45% of them would be switched off, resulting in 482 kWh of PV-generated energy being lost. We show that providing a 9 kWh battery at each house can mitigate some voltage violations, and therefor allowing for more renewable energy to be used.

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“…In Geth et al (2010) a multi-objective approach is presented considering grid objectives as well as arbitrage purposes and an optimal sizing and siting of storage assets is derived.…”

Section: Related Workmentioning

confidence: 99%

“…The former mentioned optimization approaches in Nieuwenhout et al (2006) and Geth et al (2010) derive the theoretical reachable maximum profits. These theoretical profits imply perfect forecast of future prices and (as in our case) of feed-in and consumption data.…”

Section: Related Workmentioning

confidence: 99%

“…The use and integration of storage technologies in the electricity supply chain including storage characteristics is modeled and discussed in Barton and Infield (2004), Geth et al (2010) and Lödl et al (2010)), whereas the latter study focusses on the dimensioning of these assets. In this study, the need for storage as an alternative to conventional reinforcements is described with a focus on the PV technology and the low voltage grid.…”

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confidence: 99%

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Integrating Renewables in Distribution Grids : Storage, regulation and the interaction of different stakeholders in future grids

Nykamp

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Integration of energy storage in distribution grids

Cited by 40 publications

References 8 publications

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Assessment and mitigation of voltage violations by solar panels in a residential distribution grid

Integrating Renewables in Distribution Grids : Storage, regulation and the interaction of different stakeholders in future grids

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