Battery Energy Storage Contribution to System Adequacy

The objective of this paper is to evaluate the contribution of energy storage systems to resource adequacy of power systems experiencing increased levels of renewables penetration. To this end, a coherent methodology for the assessment of system capacity adequacy and the calculation of energy storage capacity value is presented, utilizing the Monte Carlo technique. The main focus is on short-duration storage, mainly battery energy storage systems (BESS), whose capacity values are determined for different power and energy configurations. Alternative operating policies (OPs) are implemented, prioritizing system cost or reliability, to demonstrate the significant effect storage management may have on its contribution to system adequacy. A medium-sized island system is used as a study case, applying a mixed integer linear programming (MILP) generation scheduling model to simulate BESS and system operation under each OP, in order to determine capacity contribution and overall performance in terms of renewable energy sources (RES) penetration, system operating cost and BESS lifetime expectancy. This study reveals that BESS contribution to system adequacy can be significant (capacity credit values up to ~85%), with energy capacity proving to be the most significant parameter. Energy storage may at the same time enhance system reliability, reduce generation cost and support RES integration, provided that it is appropriately managed; a combined reliability-oriented and cost-driven management approach is shown to yield optimal results.

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Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives

Energies ◽

10.3390/en14092503 ◽

2021 ◽

Vol 14 (9) ◽

pp. 2503

Author(s):

Paulo Rotella Junior ◽

Luiz Célio Souza Rocha ◽

Sandra Naomi Morioka ◽

Ivan Bolis ◽

Gianfranco Chicco ◽

...

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Economic Analysis ◽

Storage Systems ◽

Renewable Energy Sources ◽

Residential Areas ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Battery Energy Storage Systems ◽

Battery Energy

Sources such as solar and wind energy are intermittent, and this is seen as a barrier to their wide utilization. The increasing grid integration of intermittent renewable energy sources generation significantly changes the scenario of distribution grid operations. Such operational challenges are minimized by the incorporation of the energy storage system, which plays an important role in improving the stability and the reliability of the grid. This study provides the review of the state-of-the-art in the literature on the economic analysis of battery energy storage systems. The paper makes evident the growing interest of batteries as energy storage systems to improve techno-economic viability of renewable energy systems; provides a comprehensive overview of key methodological possibilities for researchers interested in economic analysis of battery energy storage systems; indicates the need to use adequate economic indicators for investment decisions; and identifies key research topics of the analyzed literature: (i) photovoltaic systems with battery energy storage systems for residential areas, (ii) comparison between energy storage technologies, (iii) power quality improvement. The last key contribution is the proposed research agenda.

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Sizing and Allocation of Battery Energy Storage Systems in Åland Islands for Large-Scale Integration of Renewables and Electric Ferry Charging Stations

Energies ◽

10.3390/en13020317 ◽

2020 ◽

Vol 13 (2) ◽

pp. 317 ◽

Cited By ~ 6

Author(s):

Jagdesh Kumar ◽

Chethan Parthasarathy ◽

Mikko Västi ◽

Hannu Laaksonen ◽

Miadreza Shafie-Khah ◽

...

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Storage Systems ◽

Renewable Energy Sources ◽

Energy Sources ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Battery Energy Storage Systems ◽

Battery Energy ◽

Charging Stations

The stringent emission rules set by international maritime organisation and European Directives force ships and harbours to constrain their environmental pollution within certain targets and enable them to employ renewable energy sources. To this end, harbour grids are shifting towards renewable energy sources to cope with the growing demand for an onshore power supply and battery-charging stations for modern ships. However, it is necessary to accurately size and locate battery energy storage systems for any operational harbour grid to compensate the fluctuating power supply from renewable energy sources as well as meet the predicted maximum load demand without expanding the power capacities of transmission lines. In this paper, the equivalent circuit battery model of nickel–cobalt–manganese-oxide chemistry has been utilised for the sizing of a lithium-ion battery energy storage system, considering all the parameters affecting its performance. A battery cell model has been developed in the Matlab/Simulink platform, and subsequently an algorithm has been developed for the design of an appropriate size of lithium-ion battery energy storage systems. The developed algorithm has been applied by considering real data of a harbour grid in the Åland Islands, and the simulation results validate that the sizes and locations of battery energy storage systems are accurate enough for the harbour grid in the Åland Islands to meet the predicted maximum load demand of multiple new electric ferry charging stations for the years 2022 and 2030. Moreover, integrating battery energy storage systems with renewables helps to increase the reliability and defer capital cost investments of upgrading the ratings of transmission lines and other electrical equipment in the Åland Islands grid.

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Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids

Energies ◽

10.3390/en13092289 ◽

2020 ◽

Vol 13 (9) ◽

pp. 2289 ◽

Cited By ~ 6

Author(s):

Oscar Danilo Montoya ◽

Walter Gil-González ◽

Edwin Rivas-Trujillo

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Optimal Location ◽

Mixed Integer ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Dc Microgrids ◽

General Algebraic Modeling System ◽

Battery Energy Storage Systems ◽

Battery Energy

This paper deals with the problem of optimal location and reallocation of battery energy storage systems (BESS) in direct current (dc) microgrids with constant power loads. The optimization model that represents this problem is formulated with two objective functions. The first model corresponds to the minimization of the total daily cost of buying energy in the spot market by conventional generators and the second to the minimization of the costs of the daily energy losses in all branches of the network. Both the models are constrained by classical nonlinear power flow equations, distributed generation capabilities, and voltage regulation, among others. These formulations generate a nonlinear mixed-integer programming (MINLP) model that requires special methods to be solved. A dc microgrid composed of 21-nodes with existing BESS is used for validating the proposed mathematical formula. This system allows to identify the optimal location or reallocation points for these batteries by improving the daily operative costs regarding the base cases. All the simulations are conducted via the general algebraic modeling system, widely known as the General Algebraic Modeling System (GAMS).

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Integrating STATCOM and Battery Energy Storage System for Power System Transient Stability: A Review and Application

Advances in Power Electronics ◽

10.1155/2012/676010 ◽

2012 ◽

Vol 2012 ◽

pp. 1-12 ◽

Cited By ~ 24

Author(s):

Arindam Chakraborty ◽

Shravana K. Musunuri ◽

Anurag K. Srivastava ◽

Anil K. Kondabathini

Keyword(s):

Energy Storage ◽

Power System ◽

Transient Stability ◽

Reactive Power ◽

Storage Systems ◽

Renewable Energy Sources ◽

System Stability ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Battery Energy

Integration of STATCOM with energy storage devices plays an imperative role in improving the power system operation and control. Significant research has been done in this area for practical realization of benefits of the integration. This paper, however, pays particular importance to the performance improvement for the transients as is achievable by STATCOM with battery-powered storage systems. Application of STATCOM with storage in regard to intermittent renewable energy sources such as wind power generation is also discussed in the paper. At the beginning of this paper, an overall review of the STATCOM and energy storage systems are elaborated. A brief overview of the advantages of using STATCOM in conjunction to energy storage systems in achieving power system stability is presented. In the second part of the paper, a typical transient stability model of a STATCOM is presented. The dynamics of real and reactive power responses of the integrated system to transients is studied. The study is aimed at showing that the combination of STATCOM and battery energy storage significantly improves the performance of the system. The final results show that the STATCOM reactive power/voltage control helps in transient stability enhancement.

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Quantification of Efficiency Improvements from Integration of Battery Energy Storage Systems and Renewable Energy Sources into Domestic Distribution Networks

Energies ◽

10.3390/en12244640 ◽

2019 ◽

Vol 12 (24) ◽

pp. 4640

Author(s):

Mohamed E. A. Farrag ◽

Donald M Hepburn ◽

Belen Garcia

Keyword(s):

Energy Storage ◽

Wind Energy ◽

Storage Systems ◽

Renewable Energy Sources ◽

Energy Generation ◽

Distribution Networks ◽

Distribution Transformer ◽

Energy Storage Systems ◽

Battery Energy Storage ◽

Battery Energy

Due to the increasing use of renewable, non-controllable energy generation systems energy storage systems (ESS) are seen as a necessary part of future power delivery systems. ESS have gained research interest and practical implementation over the past decade and this is expected to continue into the future. This is due to the economic and operational benefits for both network operators and customers, battery energy storage system (BESS) is used as the main focus of this research paper. This paper presents an analytical study of the benefits of deploying distributed BESS in an electrical distribution network (DN). The work explores the optimum location of installing BESS and its impact on the DN performance and possible future investment. This study provides a comparison between bulk energy storage installed at three different locations; medium voltage (MV) side and low voltage (LV) side of the distribution transformer (DT) and distributed energy storage at customers’ feeders. The performance of a typical UK DN is examined under different penetration levels of wind energy generation units and BESS. The results show that the minimum storage size is obtained when BESS is installed next to the DT. However, the power loss is reduced to its minimum when BESS and wind energy are both distributed at load busbars. The study demonstrates that BESS installation has improved the loss of life factor of the distribution transformer.

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Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS)

Energies ◽

10.3390/en13174386 ◽

2020 ◽

Vol 13 (17) ◽

pp. 4386

Author(s):

Camilo Andres Mora ◽

Oscar Danilo Montoya ◽

Edwin Rivas Trujillo

Keyword(s):

Energy Storage ◽

Programming Model ◽

Storage Systems ◽

Mixed Integer ◽

Transmission Network ◽

Energy Storage Systems ◽

Transmission Networks ◽

Battery Energy Storage ◽

Battery Energy Storage Systems ◽

Battery Energy

This article assesses the costs and benefits of incorporating battery energy storage systems (BESS) in transmission network expansion planning (TEP) over multiple time periods. We propose a mixed-integer programming model (MIP) for joint planning of the installation of battery energy storage systems (BESS) and construction of new transmission lines in multiple periods of time. The mathematical formulation of the presented model is based on the strategies of the agents of a transmission network to maximize their benefit, and on the operational restrictions of the power flows in transmission networks. This analysis is performed for the Garver 6 node test system takes into account the power losses in the lines and the restrictions for the energy stored in BESS. The power flows obtained with the MIP model are compared with AC power flows generated with specialized software for flows in power systems. This allows us to demonstrate the potential of models based on DC power flows to achieve approximate results applicable to the behavior and characteristics of real transmission networks. The results show that the BESS increase the net profit in the transmission networks and reduce their power losses.

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