Cascade FOPI-FOPTID controller with energy storage devices for AGC performance advancement of electric power systems

Choudhary, Ravi; Rai, Jyotsana; Arya, Yogendra

doi:10.1016/j.seta.2022.102671

Cited by 48 publications

(39 citation statements)

References 42 publications

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“…Traditional SC strategies used for the control and coordination of MAPS and multi-MG systems, often rely on centralized topologies that require the measurements of all the DERs in the VPP to fulfill the control goals in (4), see [114], [202], [203]. For instance, [204] and [205] use cascades of fractional-order Proportional-Integral-Derivative (PID) controllers with parameters tuned through optimization-based techniques to obtain centralized controllers capable of reducing frequency deviations in multimicrogrid linear systems. Other existing approaches employ a centralized architecture and projected-gradient methods for energy distribution systems [206], [207], or consider Linear-Quadratic Regulator (LQR) controllers and energy storage devices [208] to satisfy the SC requirements.…”

Section: A: Centralized and Classical Control Schemes In Vppsmentioning

confidence: 99%

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants

et al. 2023

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Virtual Power Plants (VPPs) have emerged as a modern real-time energy management architecture that seeks to synergistically coordinate an aggregation of renewable and non-renewable generation systems to overcome some of the fundamental limitations of traditional power grids dominated by synchronous machines. In this survey paper, we review the different existing and emerging feedback control mechanisms and architectures used for the real-time operation of VPPs. In contrast to other works that have mostly focused on the optimal dispatch and economical aspects of VPPs in the hourly and daily time scales, in this paper we focus on the dynamic nature of the system during the faster sub-hourly time scales. The virtual (i.e., software-based) component of a VPP, combined with the power plant (i.e., physics-based) components of the power grid, make VPPs prominent examples of cyber-physical systems, where both continuous-time and discrete-time dynamics play critical roles in the stability and transient properties of the system. We elaborate on this interpretation of VPPs as hybrid dynamical systems, and we further discuss open research problems and potential research directions in feedback control systems that could contribute to the safe development and deployment of autonomous VPPs.INDEX TERMS Smart grids, renewable energy, virtual power plant, feedback control, multi-agent hybrid dynamical systems.

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Section: A: Centralized and Classical Control Schemes In Vppsmentioning

confidence: 99%

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants

et al. 2023

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“…Firstly, the population Y l is initialized, and the best population Y * l then the cost function of the population is calculated. The values of T and C 1 are updated using Equations ( 41) and (42) in the first iteration. After that, all populations are done, and places are updated using Equation (40).…”

Section: Figure 23mentioning

confidence: 99%

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Elsaied

Hameed

Hasanien

et al. 2023

IET Renewable Power Gen

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The constant changes in the load power lead permanently to a power mismatch between the power generation and the power consumption. So, the system frequency due to the power imbalance deviates from the nominal value. Consequently, a control loop should be implemented to stabilize the system frequency whenever a load change occurs. This paper presents a new super‐twisting sliding mode control methodology for obtaining an optimal frequency performance in a multi‐pool system. The paper presents a three‐pool system for frequency deviation problems using an optimal gain Super Twisting Sliding Mode Controller (STSMC), which regulates the frequency change and the line power change to zero in a minimal time. The extent of the excellence of the study proposed is evaluated by comparing it with three Benchmark classical controllers, which are the Tilt‐Integral‐Derivative (TID), Proportional‐Integral‐Derivative (PID), and Fractional‐Order PID (FOPID). The parameters of the four controllers are determined by a proposed physical meta‐heuristic optimization technique called Transient Search Optimizer (TSO), inspired by the dynamic behaviour in the electrical circuits comprising storage elements such as capacitors and inductors during the switching actions. The system simulation is performed, and the STSMC proved overwhelming superiority over other controllers, as it deals better with the transient interval of the system response. Renewable Energy sources (RESs) like photovoltaic and wind energy systems are established, and the STSMC is tested with industrial and residential load models. Finally, energy storage devices such as batteries and superconducting magnetic energy storage are implemented to suppress the rapid fluctuations in the system response, and it succeeded in doing that as the system oscillations are greatly damped with the energy storage devices.

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“…Aside from the influence of efficient controller structures in power systems, the introduction of an energy storage (ES) element has a noteworthy impression on AGC system performance. 5,6,8,9,[12][13][14]17,[27][28][29][30][31][32][33][34][35][36] In the literature, various articles have been published so far by incorporating various energy storage devices in various structured power system models like redox flow battery (RFB) in restructured multi-source thermal-hydro-diesel-gas system. 5 Comparative analysis between various energy storage devices by Tashnin et al 6 shows that RFB perform better than battery energy storage (BES), flywheel ES (FES), capacitive ES (CES), superconductive magnetic ES (SMES), and ultra-capacitor (UC) when used in similar environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To enhance the power system performance in dynamic conditions, various other uses of energy storage systems are visible via SMES/RFB, 8 RFB, 9 UC, 12 UC/RFB, 13 RFB, 14 RFB/CES, 17 RFB, [27][28][29][30][31]33 BES/FES/CES/SMES/RFB, 32 SMES, 34 SMES/UC, 35 and SMES/RFB. 36 Hence, various researchers have incorporated RFB for better dynamic performance of AGC of power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

SSA‐optimized cascade optimal‐PIDN controller for multi‐area power system with RFB under deregulated environment

Rangi

Jain

Arya

2022

Optim Control Appl Methods

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In today's rapidly evolving interconnected electric power system network, ancillary service such as automatic generation control (AGC) plays a critical and important role in safeguarding the system's power supply quality by establishing an equilibrium between generation and load demanded plus losses. A power system with a robust and smart AGC strategy is obligatory for better power quality and system security. Cascade control schemes cope up better with nonlinearity by tuning the gain of controller of power system amid continuous load changing. Therefore, in this article, a supplementary control approach that is, cascade optimal controller‐proportional integral with derivative filter (COC‐PIDN) is suggested for AGC performance advancement of the power systems under deregulated environment. The OC designed consuming full state feedback control approach acts as master controller and PIDN plays the role of slave controller. The nature inspired salp swarm algorithm is employed to adjust the PIDN parameters. Initially, the efficacy of the COC‐PIDN control‐method is explored on a two‐area restructured reheat thermal system and then to validate its excellence and extensibility, the study is protracted to restructured two‐area thermal‐hydro system. Extensive analysis of the findings establishes that the dynamic performance of the COC‐PIDN controller is more valuable than the OC and COC‐PID approaches. The results of COC‐PIDN get further improved in presence of redox flow battery. Finally, the sensitivity analysis as well the acquired results with the COC‐PIDN controller with system nonlinearities demonstrate its robustness.

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Cascade FOPI-FOPTID controller with energy storage devices for AGC performance advancement of electric power systems

Cited by 48 publications

References 42 publications

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

SSA‐optimized cascade optimal‐PIDN controller for multi‐area power system with RFB under deregulated environment

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