Sweeping power system stabilisation with a parametric fuzzy predictive control of a generalised energy storage device

Ahsan, Hailiya; Mufti, Mairaj-ud-Din

doi:10.1049/iet-gtd.2020.0940

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…Thus, their use in real-time applications has become cumbersome. In addition, there is no systematic approach for the design, development, and use of Fuzzy logic Control (FLC), making it highly dependent on the designer’s expertise (Ahsan and Din Mufti, 2020; Syed et al, 2023). Mufti et al (2007) proposed fuzzy logic-based SCS for improved AGC, but it lacked the capability to maintain SCS voltage within allowable limits.…”

Section: Introductionmentioning

confidence: 99%

Dynamic performance improvement of an isolated wind-diesel system with intelligently controlled supercapacitor energy storage system

Rashid,

Lone,

Mufti

2023

Wind Engineering

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This paper aims to develop a supervisory control scheme to enhance the effectiveness and profitability of a small-rating super capacitor energy storage system (SCESS) used in load-frequency-control applications. The proposed approach, which uses one-step-ahead adaptive predictive control (APC), adeptly handles the operational limitations of the SCESS. For the purpose of online estimation of system parameters, the recursive least square (RLS) algorithm has been employed. The system can be characterized as a two input two output system, wherein the real and reactive powers required by the SCESS serve as control signals issued by the controller. The SCESS voltage is subject to constraints to limit energy trade within specific bounds. The proposed control scheme successfully maintains the voltage constraints of the SCESS while significantly reducing frequency and voltage deviations in the presence of two disturbances, viz; load disturbance and wind disturbance. The effectiveness of the proposed scheme is demonstrated through simulation experiments on an isolated hybrid wind diesel power system, which addresses several modeling and design aspects.

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Section: Introductionmentioning

confidence: 99%

Dynamic performance improvement of an isolated wind-diesel system with intelligently controlled supercapacitor energy storage system

Rashid,

Lone,

Mufti

2023

Wind Engineering

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Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Syed

Ahsan

Mufti

et al. 2023

Optim Control Appl Methods

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Active power equilibrium is analogous to frequency control. A hypothesis of maintaining this balance with voltage regulation is slightly less instinctive, notwithstanding the contribution it can make to the overall stability of the power system. This idea in synergism with the utilization of superconducting magnetic energy storage (SMES) technology in a colossal multi-machine power network, is exercised in this paper. The main focus of this work is to make a small-rated SMES more providential in large power systems with the aid of voltage frequency control (VFC). This study proposes an adaptive model predictive control (AMPC) equipped small capacity SMES as well as VFC operation, to ensure load frequency control of a wind power penetrated system. While assuming the plant as an autoregressive discrete mode system with exogenous input, the determination of both the plant model and controller parameters are effectuated online using a recursive least squares (RLS) identification algorithm. Detailed mathematical modeling of SMES is presented in addition to the discrete mode automatic generation control (d-AGC) and governor dead band non-linearity at the synchronous power source ends. A compact doubly fed induction generator (DFIG) model architecture harmonizing the maximum power point tracking (MPPT) mode using the standard two-dimensional look-up table with turbine characteristics is also discussed. Simulations in MATLAB/Simulink domain reveals a percentage improvement of 82.6% in the frequency nadir under load disturbance with the proposed VFC-SMES scheme. Furthermore, an average percentage improvement of 82% in peak frequency deviations under turbulent wind scenario is attained. These results are validated in real-time, employing the real-time digital simulator OPAL-RT (OP4510).

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Adaptive Pitch Control of Wind Turbine Generator to Counter Transient Contingencies in a Multi Machine System

Ahsan,

Kumar,

Mufti

2022

Recent Advances in Power Electronics and Drives

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Sweeping power system stabilisation with a parametric fuzzy predictive control of a generalised energy storage device

Cited by 4 publications

References 44 publications

Dynamic performance improvement of an isolated wind-diesel system with intelligently controlled supercapacitor energy storage system

Dynamic performance improvement of an isolated wind-diesel system with intelligently controlled supercapacitor energy storage system

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Adaptive Pitch Control of Wind Turbine Generator to Counter Transient Contingencies in a Multi Machine System

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