Control strategy to smooth wind power output using battery energy storage system: A review

Siqueira, Luanna Maria Silva de; Peng, Wei

doi:10.1016/j.est.2021.102252

Cited by 125 publications

(57 citation statements)

References 43 publications

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“…The ESSs, as dispatchable energy resources, are considered to store the surplus energy and provide the required energy during power shortages 64,65 . Ultra‐capacitors and batteries are mainly utilized by ERSs 66,67 .…”

Section: System Modelingmentioning

confidence: 99%

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Ehteshami

Hashemi‐Dezaki

Javadi

2022

Energy Science & Engineering

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Several studies have been reported for optimal operation of electrical railway systems (ERSs). However, the stochastic energy management of ERSs, including renewable energy resources (RERs), has received less attention. The RERs’ uncertainties might affect the ERSs. On the other hand, the calculation time of the Monte Carlo simulation (MCS)‐based approaches is an essential challenge, which should be solved, particularly in real‐time decisions and recursive optimization problems. Thus, it is crucial to study the ERSs' stochastic behaviors and uncertainties, including RERs. This paper tries to overcome the discussed concerns and challenges by proposing a novel ERS’s optimal stochastic energy management using clustering algorithms. In this paper, the backward scenario reduction algorithm has been used. In addition, regenerative braking energy (RBE) and energy management systems (ESSs) have been studied. Studying the impacts of changes in the number of passengers on the optimized operation of ERSs and investigating the interaction between the utility grid and the ERS are other contributions of this research. The proposed method is applied to an actual test system of Tehran Urban and Suburban Railway Operation Company (TUSROC). Test results are validated by comparing with available MCS‐based methods. Simulation results illustrate the accuracy and computation time advantages of the proposed method. Simulation results illustrate that <0.6% inaccuracy appears in the proposed method, while it would be 500 times faster than MCS‐based ones. The comparative test results show the advantages of the introduced method.

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Section: System Modelingmentioning

confidence: 99%

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Ehteshami

Hashemi‐Dezaki

Javadi

2022

Energy Science & Engineering

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“…Research in [104]- [106] shows that the maximum benefits of ESS can be obtained using appropriate coordinated control between conventional sources, RERs, and ESSs. The operational strategies of ESSs are deployed based on desired benefiting factors, such as renewable power output smoothing [107]- [110], energy cost minimization [111], load management, and system losses minimization [112], [113]. Deployment of ESS is used as a control measure in the corrective form of the unit-commitment problem [114], corrective security improvement [115], and emergency backup resources [116].…”

Section: Application Of Energy Storage To Improve Reliability Of Rer Integrated Systems Under Frequency Stability Constraintmentioning

confidence: 99%

Frequency Response in the Presence of Renewable Generation: Challenges and Opportunities

Nguyen

Pandit

Quigley

et al. 2021

IEEE Open J. Power Energy

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“…The ESS can also provide energy during the unavailability of solar energy during the nighttime or cloudy hours. Batteries, supercapacitors, superconducting magnetic, pumped hydro, and compressed air energy storages are the most popular for mitigating the uncontrollability of the RE resources, RE power output smoothing, frequency, and reactive power control, and peak shaving [156]- [160]. Thus, the ESS technology maximizes RE resources usage and eventually electricity generation from fossil fuel-based plants, hence, the GHG emissions.…”

Section: Observations and Recommendationsmentioning

confidence: 99%

Electricity Generation in Saudi Arabia: Tracing Opportunities and Challenges to Reducing Greenhouse Gas Emissions

et al. 2021

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The electrical energy demand of the Kingdom of Saudi Arabia (KSA) has been observing a surging growth due to high population growth and urbanization rate. The generation mostly comes from the burning of petroleum products. The electricity sector emits more than one-third of the national greenhouse gas (GHG) of the country. Thus, it is essential to reduce the GHG from the electricity generation sector to maintain sustainability. This article mainly concentrates on the existing electricity generation and focuses on the Kingdom's GHG emissions mitigation initiatives. Although the use of natural gas and the number of cogeneration plants have been increased in electricity generation, the country has also been focusing on other initiatives, including the adaptation of combined cycle power plants, carbon capture, utilization, and sequestration (CCUS), renewable and alternative energy sources, and various utility-scale energy efficiency measures. The ambitious and inspirational renewable energy (RE) targets of the Saudi Vision 2030 will significantly facilitate GHG emission avoidance, which will support the Kingdom to meet its Nationally Determined Contributions. This article recommends various mitigation measures, including the usage of the efficient internal combustion engine, poly-generation, combined heat and power (CHP) systems, deployment of renewable resources in the distribution and microgrid systems, bio-mass engine, and ocean thermal energy conversion plants. The decision-makers and the researchers will find the discussions and recommendations helpful in determining suitable and appropriate mitigation initiatives and technologies.INDEX TERMS Carbon capture, climate change mitigation, electricity generation, greenhouse gas emissions, Kingdom of Saudi Arabia, renewable energy, review.

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Control strategy to smooth wind power output using battery energy storage system: A review

Cited by 125 publications

References 43 publications

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Optimal stochastic energy management of electrical railway systems considering renewable energy resources' uncertainties and interactions with utility grid

Frequency Response in the Presence of Renewable Generation: Challenges and Opportunities

Electricity Generation in Saudi Arabia: Tracing Opportunities and Challenges to Reducing Greenhouse Gas Emissions

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