scholarly journals Defining and Evaluating Use Cases for Battery Energy Storage Investments: Case Study in Croatia

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 376 ◽  
Author(s):  
Ivan Pavić ◽  
Zora Luburić ◽  
Hrvoje Pandžić ◽  
Tomislav Capuder ◽  
Ivan Andročec
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power System ◽  
Renewable Energy Sources ◽  
Developed Countries ◽  
Energy Sources ◽  
Battery Energy Storage ◽  
Market Opportunities ◽  
Battery Energy ◽  
Storage Technologies

Battery energy storage systems (BESS) and renewable energy sources are complementary technologies from the power system viewpoint, where renewable energy sources behave as flexibility sinks and create business opportunities for BESS as flexibility sources. Various stakeholders can use BESS to balance, stabilize and flatten demand/generation patterns. These applications depend on the stakeholder role, flexibility service needed from the battery, market opportunities and obstacles, as well as regulatory aspects encouraging or hindering integration of storage technologies. While developed countries are quickly removing barriers and increasing the integration share of BESS, this is seldom the case in developing countries. The paper identifies multiple case opportunities for different power system stakeholders in Croatia, models potential BESS applications using real-world case studies, analyzes feasibility of these investments, and discusses financial returns and barriers to overcome.

scholarly journals Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2412 ◽  
Author(s):  
Mohammed Atta Abdulgalil ◽  
Muhammad Khalid ◽  
Fahad Alismail
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Stochastic Programming ◽  
Power System ◽  
Optimization Problem ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Sources ◽  
Battery Energy Storage ◽  
Battery Energy

In this paper, based on stochastic optimization methods, a technique for optimal sizing of battery energy storage systems (BESSs) under wind uncertainties is provided. Due to considerably greater penetration of renewable energy sources, BESSs are becoming vital elements in microgrids. Integrating renewable energy sources in a power system together with a BESS enhances the efficiency of the power system by enhancing its accessibility and decreasing its operating and maintenance costs. Furthermore, the microgrid-connected BESS should be optimally sized to provide the required energy and minimize total investment and operation expenses. A constrained optimization problem is solved using an optimization technique to optimize a storage system. This problem of optimization may be deterministic or probabilistic. In case of optimizing the size of a BESS connected to a system containing renewable energy sources, solving a probabilistic optimization problem is more effective because it is not possible to accurately determine the forecast of their output power. In this paper, using the stochastic programming technique to discover the optimum size of a BESS to connect to a grid-connected microgrid comprising wind power generation, a probabilistic optimization problem is solved. A comparison is then produced to demonstrate that solving the problem using stochastic programming provides better outcomes and to demonstrate that the reliability of the microgrid improves after it is connected to a storage system. The simulation findings demonstrate the efficacy of the optimum sizing methodology proposed.

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

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 317 ◽  
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.

scholarly journals Investigation on Sizing of Voltage Source for a Battery Energy Storage System in Microgrid With Renewable Energy Sources

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 188861-188874 ◽  
Author(s):  
Swaminathan Ganesan ◽  
Umashankar Subramaniam ◽  
Ajit A. Ghodke ◽  
Rajvikram Madurai Elavarasan ◽  
Kannadasan Raju ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Voltage Source ◽  
Energy Sources ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

An Operating Control Strategy of Zinc Bromine Flow Battery Energy Storage Systems in Microgrid

2014 ◽  
Vol 1070-1072 ◽  
pp. 449-455 ◽  
Author(s):  
Xin Zhen Feng ◽  
Yi Bin Tao ◽  
Jin Hang Hu ◽  
Qiang Li
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Sources ◽  
Flow Battery ◽  
Battery Energy Storage ◽  
Battery Energy

With the continuous development of distributed solar, wind power and other renewable energy sources, renewable energy sources which has its own features, such as intermittent and randomness volatility, brings great challenges to the stable operation of power grid. Aiming at meeting the requirement of balancing the fluctuating renewable energy sources of micro grid, this paper proposes the operating control strategies of the zinc bromine flow battery storage. Firstly, the equivalent mathematical model based on the working principle of the zinc bromine flow battery is established; Secondly, a dual closed-loop strategy for the DC/DC converter is proposed, of which the inner loop is peak current control on zinc bromine flow battery side inductance while the outer loop is a switch control by constant active power and trickle current. By resorting the DC/AC grid side converter, the stability of DC bus voltage is maintained; Then, this paper proposes the optimization power control strategies of zinc bromine battery energy storage system as a constraint of state of charge and DC bus voltage; Finally, a 50kW zinc bromine flow battery energy storage system test platform is built, and the charging and discharging characteristics of zinc bromine energy storage system (ZESS) is researched in grid-connected mode, the test results have shown that the proposed power optimization control strategies for zinc bromine energy storage system could smooth renewable energy sources power fluctuation.

scholarly journals Sizing of Energy Storage with Network Constraints Economic Dispatch of Fuel Cell Micro-Turbine and Renewable Energy Sources

2020 ◽  
Vol 9 (5) ◽  
pp. 881-891
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Fuel Cell ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Optimal Size ◽  
Battery Storage ◽  
Battery Energy Storage ◽  
Micro Turbine ◽  
Battery Energy

Micro-Grid is the appropriate solution to various problems in the power system. Different types of energy sources, likewise Fuel cell (FC), Micro-Turbine (MT) and renewable energy sources can be integrated with micro-grids (MG). The battery energy storage has played a crucial role to support the power mismatch of on-grid or off-grid MG. Therefore the optimal size of battery energy storage along with the optimal cost-based calculation has become an essential part for the micro-grid operator. The piecewise linear cost method is used for the cost based analysis. The main contribution of this paper is: (i) the optimal size of battery energy storage has been determined with a Fuel cell (FC) and Micro-Turbine (MT) based distribution generation (DG). (ii) The impact of battery storage with DG and renewable energy sources (RES) has been considered. (iii) The total benefit and market benefit has been maximised. (iv) The unit-commitment cost of FC and MT with spinning reserve, piecewise linear cost function, ramp rate, minimum up and downtime constraints has been considered for the sizing of battery storage. (v) The network constrained has been found to obtain minimum daily energy loss for the optimal size of battery storage. (vi) The state of charge (SOC) of battery, the power output of DG’s and RES, power loss, battery cost per day, operating cost of generation, etc. have been determined. The optimal sizing of battery energy storage determination is helpful for the both Microgrid operators as well as designers. The IEEE-33 bus test system with ZIP load has been carried out for analysis and result validation. The general algebraic modeling system (GAMS) is used to solve the deterministic optimisation problem.

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