Effect of different controllers and capacitive energy storage on two area interconnected power system model using Matlab Simulink

Sanki, Prasun; Ray, Soumyadeep; Shukla, Rakesh Rajan; Das, Debapriya

doi:10.1109/aces.2014.6808016

Cited by 16 publications

(4 citation statements)

References 11 publications

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“…The capacitive energy storage (CES) has an important role to stabilize the power system against to the sudden change in load demand. The static operation of the CES makes its response faster than of the mechanical systems [20][21][22][23]. Parallel storage capacitors form the CES.…”

Section: Capacitive Energy Storagementioning

confidence: 99%

Control Mechanisms of Energy Storage Devices

Elsisi¹

2019

Energy Storage Devices

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The fast acting due to the salient features of energy storage systems leads to using of it in the control applications in power system. The energy storage systems such as superconducting magnetic energy storage (SMES), capacitive energy storage (CES), and the battery of plug-in hybrid electric vehicle (PHEV) can storage the energy and contribute the active power and reactive power with the power system to extinguish the rapid change in load demands and the renewable energy sources (RES). This chapter gives an overview about the modeling of energy storage devices and methods of control in them to adjust steady outputs.Keywords: energy storage devices, superconducting magnetic energy storage (SMES), capacitive energy storage (CES), plug-in hybrid electric vehicle (PHEV)

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Section: Capacitive Energy Storagementioning

confidence: 99%

Control Mechanisms of Energy Storage Devices

Elsisi¹

2019

Energy Storage Devices

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“…The CES plays an important role as the governor and other control mechanisms to adjust the power system equilibrium when there is a sudden rise or decrease in load demand. The static working of the CES makes it faster than of the governor . The CES circuit consists of a storage capacitor, which is formed by many discrete capacitance units connected in parallel.…”

Section: Capacitive Energy Storagementioning

confidence: 99%

“…Recently, superconducting magnetic energy storage (SMES) and capacitive energy storage (CES) units have been considered as effective countermeasures because they can inject active power as fast as expected. Accordingly, SMES and CES units can act as efficient stabilizers of power oscillation modes . Several research papers addressed the SMES and CES applications in the LFC .…”

Section: Introductionmentioning

confidence: 99%

Improving the grid frequency by optimal design of model predictive control with energy storage devices

Elsisi

Soliman

Aboelela

et al. 2017

Optim Control Appl Methods

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SummaryThis paper proposes the optimal design of model predictive control (MPC) with energy storage devices by the bat-inspired algorithm (BIA) as a new artificial intelligence technique. Bat-inspired algorithm-based coordinated design of MPCs with superconducting magnetic energy storage (SMES) and capacitive energy storage (CES) is proposed for load frequency control. Three-area hydrothermal interconnected power system installed with MPC and SMES is considered to carry out this study. The proposed design procedure can account for generation rate constraints and governor dead bands. Transport time delays imposed by governors, thermodynamic processes, and communication telemetry can be captured as well. In recent papers, the parameters of MPC with SMES and CES units are typically set by trial and error or by the designer's expertise. This problem is solved here by applying BIA to tune the parameters of MPC with SMES and CES units simultaneously to minimize the deviations of frequency and tie line powers against load perturbations.Simulation results are carried out to emphasize the superiority of the proposed coordinated design as compared with conventional proportional-integral controller and with BIA-based MPC without SMES and CES units. , unmeasured and measured disturbances resp; x n , y n , noise model state and output vectors resp; A n , B n , C n , D n , state-space realization of the noise measurement model; Ψ d , Ψ n , dimensionless white noise input to disturbance and noise models resp; T s , sampling period; P, M, integer prediction and control horizons resp; Q, R, Two scalars to weight both the input and error signal; N, number of the control inputs; T sim , simulation time (s)

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“…The gain parameters of the controller must be properly designed and optimized for stable system operation. Moreover, Sanki et al [16] reported the superiority of PID controllers in the context of the stability of the system. For optimum design of PID controllers several nature-based metaheuristic techniques have been incorporated over the years.…”

Section: Introductionmentioning

confidence: 99%

New approach in two-area interconnected AGC including various renewable energy sources using PSO

2018

Turk J Elec Eng & Comp Sci

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This paper presents a novel approach for automatic generation control (AGC) as an integrated two-area thermal-hybrid power generation system (THPGS) where thermal generators are interconnected with various renewable power generators (RPGs) like a solar power generator (SPG), wind power generator (WPG), fuel cell, and aqua electrolyzer. A comparison is carried out between the THPGS and a normal thermal power system considering proportional integral and derivative controllers. Particle swarm optimization (PSO) is used for optimizing the gain parameters of the controller. Investigation of dynamic responses is carried out considering step load perturbation as well as random load perturbation (RLP). Problems are formulated considering the variation in SPG and WPG power output in the presence of RLP in area 1 and the change in generation of SPG and WPG power in both areas for analyzing system stability and robustness. The investigation proves that PSO-optimized controllers are so robust that it is not necessary to change the parameter values of the controllers for a wide variation in SPG and WPG output power. Thus, integration of RPGs in AGC is properly applied for investigating the dynamic behaviors of the system. All the simulation works are implemented in MATLAB/Simulink software.

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Effect of different controllers and capacitive energy storage on two area interconnected power system model using Matlab Simulink

Cited by 16 publications

References 11 publications

Control Mechanisms of Energy Storage Devices

Control Mechanisms of Energy Storage Devices

Improving the grid frequency by optimal design of model predictive control with energy storage devices

New approach in two-area interconnected AGC including various renewable energy sources using PSO

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