Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm

Elsisi, Mahmoud; Soliman, M.; Aboelela, Magdy A.S.; Mansour, W.

doi:10.1016/j.est.2017.05.009

Cited by 55 publications

(33 citation statements)

References 12 publications

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“…A model predictive control along with a SMES is used to control the LFC using a Bat Inspired Algorithm (BIA), the system includes governor dead band non-linearity GRC and time delay, to reduce the frequency deviations and power flow in an interconnected power system for load disturbance [39]. BIA algorithm is used for tuning the MPC and SMES at a time parallelly and these results are related with traditional PI controller and BIA algorithm without SMES is presented.…”

Section: Model Predictive Controlmentioning

confidence: 99%

Analysis on various optimization techniques used for Load Frequency Control in power system

Kumar

Indragandhi

2018

Serb J Electr Eng

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In a unified power system the Load Frequency Control (LFC) is taken for review looking at all aspects with various optimization techniques for optimizing the parameters of PI, PID and Fuzzy controllers. The power system with multi area consists of conventional, renewable and combination of both with some energy devices like SMES, battery sources is analyzed specifically in this manuscript. The controllers are designed for a deregulated environment of a power system for LFC. The Model Predictive Control (MPC) and some other control techniques are used to control LFC under various disturbances like GRC and dead band control. For the readers ease of understanding the time response comparison graph of the controller for single and multiple areas of power system is depicted.

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Section: Model Predictive Controlmentioning

confidence: 99%

Analysis on various optimization techniques used for Load Frequency Control in power system

Kumar

Indragandhi

2018

Serb J Electr Eng

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“…In [12], a state-of-charge feedback control technique is used to keep the charging level of the battery within its proper range while the battery energy storage system make the output fluctuation of a wind farm smooth. The optimal design of MPC with SMES based on the bat-inspired algorithm (BIA) is introduced for load frequency control in [13]. This work is extended to include the MPC with SMES and CES in [14].…”

Section: Introductionmentioning

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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“…A change in real power demand at any point of a network is reflected throughout the system by a change in frequency. Therefore, system frequency provides a good indicator to system generation and load imbalance [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Parameter variation limits lead to system instability 12. ≥ 0.645, 13 , 14 ≥ 0.605, 32 ≥ 0.615,21 , 23 ≤ 0.475, and 31 ≤ 0.445.…”

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confidence: 99%

Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

Abdelhamid

El-Gaafary

2018

Mathematical Problems in Engineering

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Many studies have been made in the field of load frequency control (LFC) through the last few decades because of its importance to healthy power system. It is important to maintain frequency deviation at zero level after a load perturbation. In decentralized control, the multi-area power system is decomposed into many single input single output (SISO) subsystems and a local controller is designed for each subsystem. The controlled subsystems may have slow poles; these undesired poles may drive the aggregated overall system into the instability region. Thus, it is required to relocate these poles to much more stable places to avoid their effect upon the overall system stability. This study aims to design a new load frequency controller based on the powerful optimal linear quadratic regulator (LQR) technique. This technique can be applied over subsystem level to shift each subsystem undesired poles one by one into a prespecified stable location which in turn shift the overall system slow poles and reduce the effect of the interaction between the interconnected subsystems among each other. This procedure must be applied many times as the number of undesired poles (pairs) until all the desired poles are achieved. The main objective is considered to get a robust design when the system is affected by a physical disturbance and ±40% model uncertainties. LQR can be applied again over the aggregated system to enhance the stability degree. Simulation results are used to evaluate the effectiveness of the proposed method and compared to other research results.

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Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm

Cited by 55 publications

References 12 publications

Analysis on various optimization techniques used for Load Frequency Control in power system

Analysis on various optimization techniques used for Load Frequency Control in power system

Control Mechanisms of Energy Storage Devices

Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

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