Sizing and Coordination Strategies of Battery Energy Storage System Co-Located with Wind Farm: The UK Perspective

Fan, Fulin; Zorzi, Giorgio; Campos‐Gaona, David; Burt, Graeme; Anaya‐Lara, Olimpo; Nwobu, Chigozie John; Madariaga, Ander

doi:10.3390/en14051439

Cited by 11 publications

(11 citation statements)

References 25 publications

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“…In ref. [35], sizing and coordination strategies of battery energy storage systems co-located with wind farms are presented in relation to the United Kingdom perspective. In ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Mitigating Generation Schedule Deviation of Wind Farm Using Battery Energy Storage System

et al. 2022

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Meeting the generation schedule in a wind farm is a major issue. This work utilized battery energy storage systems (BESS) integrated wind farms (WF) to supply energy to the power grid at a pre-determined generation schedule, which was set previously based on the meteorological forecast and BESS characteristics. This study proposed the integration of two independently controlled BESS into the WF to balance stochastic power deviations between actual wind power and scheduled power. By utilizing linear optimization and solving in MATLAB, simulation models of the operations of BESS-integrated WF have been developed. The technical performance of the BESS-integrated wind farm on meeting the generation schedule, along with the cost benefits and profit attributed to the BESS, is therefore measured by a series of indices. The simulation on a practical wind farm, i.e., Adama-I WF, Ethiopia shows that even though it depends on the type of state exchanging strategy adopted, the developed methodology of integrating BESS into the WF is effective and BESS profits can totally cover the cost. Technical and economic indices that resulted from the integration of two separate BESSs with independent control were compared with indices that resulted from integrating a single BESS. Simulation results show that operating the wind farm with two independently controlled batteries has better performance as compared to operating with a single battery. It also shows that the discharging and charging state exchanging approaches of the BESS (in the case of two battery integration), as well as the number of batteries integrated into the wind farm, have significant impacts on the performance of the WF integrated with BESS.

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“…In ref. [35], sizing and coordination strategies of battery energy storage systems co-located with wind farms are presented in relation to the United Kingdom perspective. In ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Mitigating Generation Schedule Deviation of Wind Farm Using Battery Energy Storage System

et al. 2022

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“…In the Australian National Energy Market, there is already a functional "grid-forming" battery that provides inertia and system strength, and some others are under construction [117]. In the UK, there is a rapid development and growth of BESS [118].…”

Section: Proposed Solutions With An Energy Storage Systemmentioning

confidence: 99%

Provision of Frequency Response from Wind Farms: A Review

et al. 2021

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Renewable sources of energy play a key role in the process of decarbonizing modern electric power systems. However, some renewable sources of energy operate in an intermittent, non-dispatchable way, which may affect the balance of the electrical grid. In this scenario, wind turbine generators must participate in the system frequency control to avoid jeopardizing the transmission and distribution systems. For that reason, additional control strategies are needed to ensure the frequency response of variable-speed wind turbines. This review article analyzes diverse control strategies at different levels which are aimed at contributing to power balancing and system frequency control, including energy storage systems.

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“…Given a particular current level, the terminal voltage remains the same when the SOC is between 20 and 80% where a battery ESS mostly operates in practice. The SOC is an important basis for charging and discharging control and requires to be updated in real time (Fan et al, 2021). Given the battery ESS with energy capacity of Ah nom starting to operate from a full SOC, its SOC at a particular time t is calculated from the integral of its discharge and charge currents I over time:…”

Section: Ess Modelmentioning

confidence: 99%

Optimized Energy Storage System Configuration for Voltage Regulation of Distribution Network With PV Access

Zhou

Guo

et al. 2021

Front. Energy Res.

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With the large-scale integration of renewable energy such as wind power and PV, it is necessary to maintain the voltage stability of power systems while increasing the use of intermittent renewable energy sources. The rapid development of energy storage technologies permits the deployment of energy storage systems (ESS) for voltage regulation support. This paper develops an ESS optimization method to estimate the optimal capacity and locations of distributed ESS supporting the voltage regulation of a distribution network. The electrical elements of the network integrated with PV and ESS are first modelled to simulate the voltage profile of the network. Then an improved multi-objective particle swarm optimization (PSO) algorithm is employed to minimise a weighted sum of the overall nodal voltage deviation from the nominal level across the network and across the time horizon and the energy capacity of ESS reflecting the associated investment. The improved PSO algorithm adaptively adjusts the inertia weight associated with each particle based on its distance from the best known particle of the population and introduces the cross-mutation operation for a small distance to avoid falling into local optimal solutions. Then the dynamic dense distance arrangement is taken to update the non-inferior solution set and indicate potential global optimal solutions so as to keep the scale and uniformity of the optimal Pareto solution set. To mitigate the impact of decision makers’ preference, the information entropy based technique for order of preference by similarity to ideal solution is used to select the optimal combination of the ESS access scheme and capacity from the Pareto solution set. The proposed ESS optimization method is tested based on the IEEE 24-bus system with additional imports from high-voltage power supply. The voltage profile of the network simulated without the ESS or with the random or optimized ESS placement is compared to illustrate the effectiveness of the optimized ESS in performing voltage regulation under normal operation and supporting emergency power supply during high-voltage transmission failures.

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Sizing and Coordination Strategies of Battery Energy Storage System Co-Located with Wind Farm: The UK Perspective

Cited by 11 publications

References 25 publications

Mitigating Generation Schedule Deviation of Wind Farm Using Battery Energy Storage System

Mitigating Generation Schedule Deviation of Wind Farm Using Battery Energy Storage System

Provision of Frequency Response from Wind Farms: A Review

Optimized Energy Storage System Configuration for Voltage Regulation of Distribution Network With PV Access

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