An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

Chen, Wan; Liu, Baolian; Nazir, Muhammad Shahzad; Abdalla, Ahmed N.; Mohamed, Mohamed A.; Ding, Zujun; Bhutta, Muhammad Shoaib; Gul, Mehr

doi:10.3390/su14148510

Cited by 18 publications

(13 citation statements)

References 30 publications

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“…It is assumed that N buildings with several houses make up the user layer. All residences are equipped with an RER and an energy storage system (ESS) for meeting energy demands [ 24 , 25 ]. It is environmentally friendly and does not emit pollutants due to the fact that the energy is derived from natural resources.…”

Section: System Schemementioning

confidence: 99%

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization

Alsokhiry

Annuk

Mohamed

et al. 2023

Sensors

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Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient operation of electrical networks. Nonetheless, SGs suffer from big data transactions which limit their capabilities and can cause delays in the optimal operation and management tasks. Therefore, it is clear that a fast and reliable architecture is needed to make big data management in SGs more efficient. This paper assesses the optimal operation of the SGs using cloud computing (CC), fog computing, and resource allocation to enhance the management problem. Technically, big data management makes SG more efficient if cloud and fog computing (CFC) are integrated. The integration of fog computing (FC) with CC minimizes cloud burden and maximizes resource allocation. There are three key features for the proposed fog layer: awareness of position, short latency, and mobility. Moreover, a CFC-driven framework is proposed to manage data among different agents. In order to make the system more efficient, FC allocates virtual machines (VMs) according to load-balancing techniques. In addition, the present study proposes a hybrid gray wolf differential evolution optimization algorithm (HGWDE) that brings gray wolf optimization (GWO) and improved differential evolution (IDE) together. Simulation results conducted in MATLAB verify the efficiency of the suggested algorithm according to the high data transaction and computational time. According to the results, the response time of HGWDE is 54 ms, 82.1 ms, and 81.6 ms faster than particle swarm optimization (PSO), differential evolution (DE), and GWO. HGWDE’s processing time is 53 ms, 81.2 ms, and 80.6 ms faster than PSO, DE, and GWO. Although GWO is a bit more efficient than HGWDE, the difference is not very significant.

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Section: System Schemementioning

confidence: 99%

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization

Alsokhiry

Annuk

Mohamed

et al. 2023

Sensors

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“…It is anticipated that the generation of wind energy using OWFs can be nearly 54 GW in the United States [5]. The technical complexities associated with the implementation of offshore platforms and the process of transferring power from OWF to onshore power grids needs significant attention [6][7][8]. Previous studies have shown that the HVDC transmission is superior to HVAC transmission in terms of improved technical and economic feasibility, sustainability, and flexibility of integration with larger wind farms located at greater distances [9,10].…”

Section: Introductionmentioning

confidence: 99%

Neuro-Fuzzy Based High-Voltage DC Model to Optimize Frequency Stability of an Offshore Wind Farm

et al. 2023

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Lack of synchronization between high voltage DC systems linking offshore wind farms and the onshore grid is a natural consequence owing to the stochastic nature of wind energy. The poor synchronization results in increased system disturbances, grid contingencies, power loss, and frequency instability. Emphasizing frequency stability analysis, this research investigates a dynamic coordination control technique for a Double Fed Induction Generator (DFIG) consisting of OWFs integrated with a hybrid multi-terminal HVDC (MTDC) system. Line commutated converters (LCC) and voltage source converters (VSC) are used in the suggested control method in order to ensure frequency stability. The adaptive neuro-fuzzy inference approach is used to accurately predict wind speed in order to further improve frequency stability. The proposed HVDC system can integrate multiple distributed OWFs with the onshore grid system, and the control strategy is designed based on this concept. In order to ensure the transient stability of the HVDC system, the DFIG-based OWF is regulated by a rotor side controller (RSC) and a grid side controller (GSC) at the grid side using a STATCOM. The devised HVDC (MTDC) is simulated in MATLAB/SIMULINK, and the performance is evaluated in terms of different parameters, such as frequency, wind power, rotor and stator side current, torque, speed, and power. Experimental results are compared to a conventional optimal power flow (OPF) model to validate the performance.

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“…Ref. [7] proposed a wind‐storage coordination optimization strategy to enhance the economic benefits. In order to conquer the uncertainty of renewable sources, ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing and operation of hybrid energy storage systems in co‐phase traction power supply system considering battery degradation

Gao

Huang

et al. 2023

IET Generation Trans & Dist

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To recycle regenerative braking energy (RBE) while reducing demand charge in electrified railway, a co-phase power supply system with hybrid energy storage system (HESS) is implemented. However, the dynamical degradation characteristic of battery is necessary to be considered in optimal operation of HESS. A bi-level model considering battery degradation is proposed to obtain optimal sizing and operation of HESS. The proposed model includes a novel real-time energy management strategy (EMS) using average power as thresholds, to effectively reduce the demand charge and energy consumption charge. Thresholds are dynamically adjusted with the consideration of battery capacity degradation. A real measured load profile from Beijing-Shanghai high speed railway is studied. The results demonstrate that the proposed EMS performs better than previous EMS in cost saving. The dynamically adjusted thresholds of EMS are proved to be essential under the consideration of battery degradation. With the optimal sizing of the HESS, the traction substation can achieve 8.69% annual saving of demand charge and recycle 52.33% of the RBE. The results also show that a traction substation equipped with the HESS yields higher economic benefit than the energy storage systems equipped with only a battery or a supercapacitor.

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An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

Cited by 18 publications

References 30 publications

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization

Neuro-Fuzzy Based High-Voltage DC Model to Optimize Frequency Stability of an Offshore Wind Farm

Optimal sizing and operation of hybrid energy storage systems in co‐phase traction power supply system considering battery degradation

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