A novel adaptive deadbeat- based control for load frequency control of low inertia system in interconnected zones north and south of Scotland

Muhssin, Mazin T.; Cipcigan, Liana; Obaid, Zeyad Assi; AL-Ansari, Wissam F.

doi:10.1016/j.ijepes.2016.12.005

Cited by 22 publications

(7 citation statements)

References 19 publications

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“…As the transformed power system requires reliable integration of large and various types of generation units into the power grid, a substantial effort is required to accommodate and efficiently accomplish these unique planning and operating characteristics (Slootweg and Kling 2003). An adaptive deadbeat controller has been developed by Muhssin et al (2017) for the sake of rapid frequency response. In recent studies, the impacts of wind turbine generators (WTGs) on system dynamics for frequency deviation control have been presented by Rosas (2004).…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm

Vedik¹,

Kumar²,

Deshmukh³

et al. 2020

J Control Autom Electr Syst

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It is already established that the renewable integration effects to the power system are nonzero and become more important with large penetrations. Thereby, the impacts of renewable energy sources (RESs) after integration are studied in this work to stabilize grid frequency of the studied test power system model. Initially, the two-area power system model is studied as the test system. The purpose is to show the tuning efficiency of non-conventional quasi-oppositional dragonfly algorithm (QODA) algorithm as compared to conventional way of tuning technique. It is showed that QODA algorithm is quite effective to find the optimal parameters of proportional-integral-derivative (PID) controller in load frequency control performance. Further, the three-area power system model integrated with RESs is studied. The work done here is to study the impacts of wind turbine generation, solar thermal power generation and solar photovoltaic on system frequency oscillations. The PID controller is employed as the supplementary control task, and its parameters are tuned by QODA algorithm. The integral of time absolute error is chosen as the objective function, and further performance indices are determined at the end of the execution of the program to examine the performance of the designed QODA-based PID controller. Following the integration of RESs, the impacts on frequency deviation through simulation results are also presented. The simulation results showed that the RESs are quite effective in regulating the power system frequency deviation understudied.

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Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm

Vedik¹,

Kumar²,

Deshmukh³

et al. 2020

J Control Autom Electr Syst

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“…The reduced inertia can also cause major increases in the absolute value of the rate of change of frequency (RoCoF), with the risk that the system may be destabilized when subjected to suddenly occurring disturbances-for example, rising or dropping production or demand. This leads to the need for fast frequency response technologies that can address the challenges that lower inertia presents [4]. While providing a fast and stable response is required by the control system to the high RoCoF, it should be considered that system oscillation can result from very fast responses.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control Based on the Bees Algorithm for the Great Britain Power System

Shouran

Anayi

Packianather

et al. 2021

Designs

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This paper focuses on using the Bees Algorithm (BA) to tune the parameters of the proposed Fuzzy Proportional–Integral–Derivative with Filtered derivative (Fuzzy PIDF), Fractional Order PID (FOPID) controller and classical PID controller developed to stabilize and balance the frequency in the Great Britain (GB) power system at rated value. These controllers are proposed to meet the requirements of the GB Security and Quality of Supply Standard (GB-SQSS), which requires frequency to be brought back to its nominal value after a disturbance within a specified time. This work is extended to employ the proposed fuzzy structure controller in a dual-area interconnected power system. In comparison with controllers tuned by Particle Swarm Optimization (PSO) and Teaching Learning-Based Optimization (TLBO) used for the same systems, simulation results show that the Fuzzy PIDF tuned by BA is able to significantly reduce the deviation in the frequency and tie-line power when a sudden disturbance is applied. Furthermore, the applied controllers tuned by BA including the Fuzzy PIDF prove their high robustness against a wide range of system parametric uncertainties and different load disturbances.

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“…Other available intelligent algorithms include a BFOA method for managing the tuning fraction-order-PID AGC controller, a GWO method embedded AGC with wind power penetration, and the ABC method for multi-area AGC tuning [36][37][38]. Particle swarm optimisation (PSO) is effective in solving multi-dimension optimisation problems [39][40][41][42][43][44][45][46]. Regarding specific PSO concepts, the chaotic PSO method characterised by a self-adaptive configuration, schedules the short-term hydro-system generation, and then tunes the integral gains [39,40].…”

Section: Introductionmentioning

confidence: 99%

“…A PSO‐based fuzzy PI controller is also available for multi‐area AGCs [42, 43]. Finally, an adaptive deadbeat controller provides a fast frequency response to the National Grid System Operability Framework of Scotland [44]. Clearly, the GA‐ and PSO‐based metaheuristic optimisation algorithms indicate their efficacy in solving complex power‐system optimisation problems.…”

Section: Introductionmentioning

confidence: 99%

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

2019

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The centralised utility-scale photovoltaic (PV) plants installation has greatly enlarged their percentage in the bulk power systems, along with the nature uncertainty for the balance of system power and loads. Consequently, the successful integration of solar PV power in large-scale power systems requires a reliable and efficient multi-area automatic generation control (AGC) system within the control centre. Specifically, area-AGCs that perform tie-line bias control, in which the area frequency regulates the tie-line power flow, must balance the operational control area supply power-and-demand loads within a pre-tuned parameter set. Traditional AGC control systems have area linear controllers that must be periodically tuned to manage the high fluctuation of PV power. A practical two-step tuning method to determine the optimal parameters of existing multi-area AGCs is presented. The proposed method is demonstrated on a five-area multi-machine power system with two large PV plants. The power system was equipped with the synchrophasor-based monitoring system, with a real-time simulation platform serving as the application host. Results indicated that the two-step tuning method provides optimal parameters for all the system AGCs over a wide range of PV penetration levels. Typical results demonstrated the effectiveness of the tuned multiarea AGCs under dynamic conditions and disturbances.

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A novel adaptive deadbeat- based control for load frequency control of low inertia system in interconnected zones north and south of Scotland

Cited by 22 publications

References 19 publications

Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm

Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm

Load Frequency Control Based on the Bees Algorithm for the Great Britain Power System

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

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