Supervisory Adaptive Predictive Control Scheme for Supercapacitor Energy Storage System

Mufti, Mairaj-ud-Din; Iqbal, Sheikh Javed; Lone, Shameem Ahmad; Ain, Qurat-ul

doi:10.1109/jsyst.2013.2289251

Cited by 49 publications

(62 citation statements)

References 14 publications

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“…An Adaptive General Predictive Control (AGPC) Scheme has been used as supervisory control for a Super Capacitor Energy Storage System (SCESS) in a multi area power network [41]. The energy storage system is designed to be modular such that it can be added to any part of the power network that needs voltage and frequency support.…”

Section: Energy Storage Control Systemsmentioning

confidence: 99%

“…When the power demand is higher than the power supply from the generator, the batteries charge the supercapacitors to supply power from the APHESS to the loads and when the power demand is lesser than the supply, the supercapacitors in the APHESS absorbs power and charge the batteries [40]. An Adaptive General Predictive Control (AGPC) Scheme has been used as supervisory control for a Super Capacitor Energy Storage System (SCESS) in a multi area power network [41]. The energy storage system is designed to be modular such that it can be added to any part of the power network that needs voltage and frequency support.…”

Section: Energy Storage Control Systemsmentioning

confidence: 99%

“…The AGPC is able to do these tasks by estimating the plant parameters using a Recursive Least Square Identification algorithm and then computing the controller parameters by means of the normal state space representation of the process developed based on the estimated plant model. The functional block diagram of the AGPC [41] is shown in Figure 10. The control problem can then be expressed as a minimal cost function for the SCESS energy and voltage prediction with constraints of the converter capacity and capacitor charging and discharging characteristics being imposed on it.…”

Section: Energy Storage Control Systemsmentioning

confidence: 99%

“…The functional block diagram of the AGPC [41] is shown in Figure 10. The control problem can then be expressed as a minimal cost function for the SCESS energy and voltage prediction with constraints of the converter capacity and capacitor charging and discharging characteristics being imposed on it.…”

Section: Energy Storage Control Systemsmentioning

confidence: 99%

“…Battery and supercapacitor hybrid energy storage system with integrated energy management system for torque and power fluctuation reduction [38] Optimization method minimizes DC bus variation, power tracking error and high battery current operation simultaneously -Generator found to provide almost constant power leading to high fuel consumption efficiency -Applied to ship grid Adaptive general predictive control used for supercapacitor energy storage system in multi-area network [41] Frequency and tie power deviations reduced significantly by more than 80% and 60% using adaptive predictive control -Power handled by the supercapacitor energy storage system was 0.01 pu or lesser, thus, reducing heating effect and minimizing detrimental effects to lifespan of the system -Shipboard power systems might not be large enough to be multi-area networks -Load changes cases considered a maximum of 0.02 pu load addition which may not be applicable for application to seaborne vessels where the load changes are expected to be much higher at sea…”

Section: Types Of Control Advantages Disadvantagesmentioning

confidence: 99%

See 4 more Smart Citations

Effect of Load Changes on Hybrid Shipboard Power Systems and Energy Storage as a Potential Solution: A Review

2017

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More electric technologies (METs) play an important role in meeting ever-growing demands for energy efficiency and emission reduction in the maritime transportation sector. As a result, ships with electrical power transmission are becoming popular compared to traditional mechanical power transmission based ships. Hybrid electric propulsion is an intermediate step in this trend where both mechanical and electrical propulsion technologies are combined to get the benefits of both technologies. In this arrangement, not only the propulsion loads but also non-propulsion loads are connected to a common electrical power bus that could lead to serious power quality issues due to disturbances such as large load changes. This paper presents a comprehensive review on energy storage-based solutions that have been proposed to reduce their effects. The important aspects of existing as well as emerging energy storage control techniques and challenges in reducing transient effects in hybrid shipboard power systems with the use of energy storage are discussed in the paper.

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Section: Energy Storage Control Systemsmentioning

confidence: 99%

Section: Energy Storage Control Systemsmentioning

confidence: 99%

Section: Energy Storage Control Systemsmentioning

confidence: 99%

Section: Energy Storage Control Systemsmentioning

confidence: 99%

Section: Types Of Control Advantages Disadvantagesmentioning

confidence: 99%

See 3 more Smart Citations

Effect of Load Changes on Hybrid Shipboard Power Systems and Energy Storage as a Potential Solution: A Review

2017

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Intelligent Solar Grid Integration: Advancements in Control Strategies and Power Quality Enhancement

Shambhu Choudhary,

Nath Gupta,

Hussain

2024

Circuit Theory & Apps

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This study delves into the advancements, challenges, and opportunities in the solar grid technology, emphasizing its integration into the existing power infrastructure. The proposed ML‐FOGI (multilayer fourth‐order generalized integrator) algorithm presents a promising solution for modern grid synchronization requirements, addressing challenges posed by the integration of renewable energy into the distributed generation. This technology enhances system robustness and dynamic response, particularly in weak distribution grids characterized by voltage distortions and imbalances. This innovative approach enhances system stability and performance, particularly in polluted grid conditions. Through MATLAB/Simulink modelling and experimental validation, the effectiveness of the proposed control strategy is investigated across diverse testing conditions. Emphasizing the significant role of the control strategy in enhancing power quality and grid stability in the solar photovoltaic systems, this research underscores the importance of robust and adaptive control mechanisms for optimizing performance and ensuring grid reliability in modern microgrid. This study delves into this complex issue of working of the grid connected photovoltaic (GCPV) system, emphasizing the importance of balanced unit templates and a stable DC link voltage with unpredictable grid harmonics. This research aims to enhance the resilience of solar PV systems against grid disturbances by drawing inspiration from the adaptable nature of ADALINE filters and adhering to the IEEE519 requirements. This study employs OPAL‐RT's resilient experimental configuration.

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An intelligent two‐level control of Ultrabattery for improved automatic generation control of a multi‐source deregulated power system

Hajam

Mufti

2021

Int J Energy Res

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Summary This article studies automatic generation control (AGC) problem of a realistic, multi‐source deregulated power system with thyristor controlled phase shifter (TCPS) in the tie‐line for damping the inter‐area power oscillations. In this direction, an intelligent integration of a commercially available, relatively low rating efficient energy storage system in the form of Ultrabattery for AGC enhancement is proposed. Herein, a two‐level supervisory cascade control scheme is designed. The supervisory controller comprises of a genetically tuned fuzzy logic controller which ensures the operation of Ultrabattery within its regime of operation while supervising a conventional main controller in the inner loop. The exchange of desired power between the power system and Ultrabattery is governed by the main controller whose parameters are tuned offline using optimization toolbox in MATLAB. To make the power system model realistic, effects of generation rate constraint, governor dead band, boiler dynamics, and communication time delay have been incorporated. Extensive simulation studies conducted on a well‐known benchmark two‐area power system under various market scenarios demonstrate the effectiveness of the proposed scheme. The results obtained illustrate a substantial mitigation of low magnitude oscillations with TCPS in the tie‐line. Following the introduction of an Ultrabattery rated at just 1% of the area capacity in coordination with TCPS, an improvement of at least 87% in the system performance index is achieved. Finally, a sensitivity analysis validates the robustness of the proposed scheme under varying system parameters and market scenarios.

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Supervisory Adaptive Predictive Control Scheme for Supercapacitor Energy Storage System

Cited by 49 publications

References 14 publications

Effect of Load Changes on Hybrid Shipboard Power Systems and Energy Storage as a Potential Solution: A Review

Effect of Load Changes on Hybrid Shipboard Power Systems and Energy Storage as a Potential Solution: A Review

Intelligent Solar Grid Integration: Advancements in Control Strategies and Power Quality Enhancement

An intelligent two‐level control of Ultrabattery for improved automatic generation control of a multi‐source deregulated power system

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