A Novel Resilient Control of Grid-Integrated Solar PV-Hybrid Energy Storage Microgrid for Power Smoothing and Pulse Power Load Accommodation

Behera, Manoja Kumar; Saikia, Lalit Chandra

doi:10.1109/tpel.2022.3217144

Cited by 26 publications

(6 citation statements)

References 41 publications

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“…The power of a single PV module ( ) is given in Eq. ( 2 ) 2 . The output power of the PV array given in Eq.…”

Section: Modeling Of System Componentsmentioning

confidence: 99%

“… 1 . However, its high response time and output fluctuations due to ecological factors such as solar irradiance, temperature, clouds, dust, and partial shading conditions (PSCs) make it difficult to run instantaneous pulsed loads (PL) such as high-power radars, electromagnetic launch and recovery systems, ships, and electric vehicles (EVs) 2 . Integrating photovoltaic (PV) energy with high-energy-density batteries and high-power-density ultracapacitors (UCs) addresses the issue of high response times and output fluctuations.…”

Section: Introductionmentioning

confidence: 99%

“…In summary, EMS can be classified into three main categories: classical techniques 7 – 10 , intelligent control methods 11 – 16 , and metaheuristic optimization approaches 2 , 18 , 24 – 26 . Classical techniques such as deadbeat control, droop control, sliding control, and filtration-based control require a precise system model to function efficiently 20 .…”

Section: Introductionmentioning

confidence: 99%

“…MPC can minimize the effects of variation in model parameters while maintaining performance 17 , 22 , 25 , 29 , 30 . However, its effectiveness depends on its precise modeling and sophisticated computational setup 2 , 23 . This setup requires a lot of effort in design and constraint-sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

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An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system

Wasim,

Amjad,

Abbasi

et al. 2024

Sci Rep

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This work presents an energy management scheme (EMS) based on a rule-based grasshopper optimization algorithm (RB-GOA) for a solar-powered battery-ultracapacitor hybrid system. The main objective is to efficiently meet pulsed load (PL) demands and extract maximum energy from the photovoltaic (PV) array. The proposed approach establishes a simple IF-THEN set of rules to define the search space, including PV, battery bank (BB), and ultracapacitor (UC) constraints. GOA then dynamically allocates power shares among PV, BB, and UC to meet PL demand based on these rules and search space. A comprehensive study is conducted to evaluate and compare the performance of the proposed technique with other well-known swarm intelligence techniques (SITs) such as the cuckoo search algorithm (CSA), gray wolf optimization (GWO), and salp swarm algorithm (SSA). Evaluation is carried out for various cases, including PV alone without any energy storage device, variable PV with a constant load, variable PV with PL cases, and PV with maximum power point tracking (MPPT). Comparative analysis shows that the proposed technique outperforms the other SITs in terms of reducing power surges caused by PV power or load transition, oscillation mitigation, and MPP tracking. Specifically, for the variable PV with constant load case, it reduces the power surge by 26%, 22%, and 8% compared to CSA, GWO, and SSA, respectively. It also mitigates oscillations twice as fast as CSA and GWO and more than three times as fast as SSA. Moreover, it reduces the power surge by 9 times compared to CSA and GWO and by 6 times compared to SSA in variable PV with the PL case. Furthermore, its MPP tracking speed is approximately 29% to 61% faster than its counterparts, regardless of weather conditions. The results demonstrate that the proposed EMS is superior to other SITs in keeping a stable output across PL demand, reducing power surges, and minimizing oscillations while maximizing the usage of PV energy.

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“…The power of a single PV module ( ) is given in Eq. ( 2 ) 2 . The output power of the PV array given in Eq.…”

Section: Modeling Of System Componentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system

Wasim,

Amjad,

Abbasi

et al. 2024

Sci Rep

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show abstract

“…Hybrid Energy Storage System (HESS) with strong point and shortcoming can be explored to regulate the high surge currents affordably. Few researchers (Behera and Saikia 2023) have proposed HESS in LFC modelling for improved system performance.…”

Section: Literature Surveymentioning

confidence: 99%

QOAOA based optimal controller for frequency regulation in smart grid system incorporating renewable sources and hybrid energy storage system

Ranjan,

Shankar

2023

Preprint

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The demand for a sustainable and environmentally friendly power source is increasing in the modern era, and an interconnected power system that can integrate electric vehicles and renewable energy sources is seen as a solution. However, this technology has some drawbacks, such as its lower system inertia, which limits its ability to respond to load capabilities. To overcome this issue, a Hybrid Energy Storage System (HESS) can be integrated with new techniques to enhance performance. This paper proposes a new Quasi Opposition Arithmetic Optimization Algorithm (QOAOA) optimized cascade FOPIDN-(1+TD) controller with HESS of super-capacitor and Redox Flow Battery (RFB) to mitigate frequency and tie-line power variations in a multi-area restructured smart-grid system. The proposed controller's performance is evaluated under various conditions, such as load fluctuations, wind speed variations, solar irradiation, Governor Dead Band (GDB), and generation rate limitation. The system performance is also analyzed when HESS devices are integrated into the three-area system, taking into account the varying nature of wind speed and solar irradiation. The proposed controller's outcomes are validated using real-time Hardware-In-the-Loop (HIL) simulation with OPAL-RT.

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Double stage PV-BES weak grid connected system

et al. 2023

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A Novel Resilient Control of Grid-Integrated Solar PV-Hybrid Energy Storage Microgrid for Power Smoothing and Pulse Power Load Accommodation

Cited by 26 publications

References 41 publications

An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system

An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system

QOAOA based optimal controller for frequency regulation in smart grid system incorporating renewable sources and hybrid energy storage system

Double stage PV-BES weak grid connected system

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