Design of an Optimized Fractional High Order Differential Feedback Controller for Load Frequency Control of a Multi-Area Multi-Source Power System With Nonlinearity

Şahin, Erdinç

doi:10.1109/access.2020.2966261

Cited by 53 publications

(35 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To properly enhance the power system performance, a proper selection of the objective cost function is required to maintain the system dynamics. There are many classical cost functions, which [44]. In this paper, the ISE is selected as a single objective function to determine the optimum parameters of the proposed controllers.…”

Section: A the Optimization Problemmentioning

confidence: 99%

An Optimized Hybrid Fractional Order Controller for Frequency Regulation in Multi-Area Power Systems

et al. 2020

View full text Add to dashboard Cite

Multi-area power systems inhere complicated nonlinear response, which results in degraded performance due to the insufficient damping. The main causes of the damping problems are the stochastic behavior of the renewable energy sources, loading conditions, and the variations of system parameters. The load frequency control (LFC) represents an essential element for controlling multi-area power systems. Therefore, the proper design of the controllers is mandatory for preserving reliable, stable and high-quality electrical power. The controller has to suppress the deviations of the area frequency in addition to the tie-line power. Therefore, this paper proposes a new frequency regulation method based on employing the hybrid fractional order controller for the LFC side in coordination with the fractional order proportional integral derivative (FOPID) controller for the superconducting energy storage system (SMES) side. The hybrid controller is designed based on combining the FOPID and the tilt integral derivative (TID) controllers. In addition, the controller parameters are optimized through a new application of the manta ray foraging optimization algorithm (MRFO) for determining the optimum parameters of the LFC system and the SMES controllers. The optimally-designed controllers have operated cooperatively and hence the deviations of the area frequency and tie-line power are efficiently suppressed. The robustness of the proposed controllers is investigated against the variation of the power system parameters in addition to the location and/or magnitude of random/step load disturbances.

show abstract

Section: A the Optimization Problemmentioning

confidence: 99%

An Optimized Hybrid Fractional Order Controller for Frequency Regulation in Multi-Area Power Systems

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In literature four different performance indices are used including ITSE, ITAE, IAE, and ISE. However, ITAE [12,16,17,32], ITSE [3,10,11,21] and ISE [14,18,20,29] are more frequently used for AGC problem. For the comparison among various performance indices Eq (5) to Eq (8) are implemented in matlab for two area multi-source IPS and achieved minimum fitness values for ITSE as compared to ITAE, ISE and IAE which is depicted in Table 1.…”

Section: A Controller Structurementioning

confidence: 99%

“…Naidu et al [10] suggested a wavelet based PI controller for single source of reheat thermal with three area IPS considering GRC, BD and TD. Similarly, AGC of multi-source power system with GDB and GRC was conducted in [11][12]. Authors in [13] proposed PID controller tuned with Salp Swarm Algorithm (SSA) for LFC of multi-area IPS including GRC, GDB and Communication Delay (CD) as physical constraints.…”

Section: Introductionmentioning

confidence: 99%

Fitness Dependent Optimizer-Based Automatic Generation Control of Multi-Source Interconnected Power System With Non-Linearities

et al. 2020

View full text Add to dashboard Cite

This paper proposed an improved structure of Proportional Integral Derivative (PID) controller called as Integral Proportional Derivative (I-PD), applied for Automatic Generation Control (AGC) of Multi-Source Interconnected Power System (IPS). The parameters of the proposed controller are optimized with a newly developed, powerful, nature-inspired meta-heuristic technique known as Fitness Dependent Optimizer (FDO). To show the efficacy of the proposed controller and the technique used, they have been tested on three different system models. Initially, a two-equal area of diverse source generation including reheat-thermal, gas, and hydro power system is considered. In the second scenario, the same power system model is used with addition of two non-linearities; Generation Rate Constraint (GRC) and Governor Dead Band (GDB). Lastly, multiple non-linearities including Governor Dead Band (GDB), Time Delay (TD), Generation Rate Constraint (GRC), and Boiler Dynamics (BD) have been considered to make the initial system more realistic and practical. The outcome from the proposed techniques is also compared with some recently meta-heuristic algorithms such as Teaching Learning Based Optimization (TLBO), Particle Swarm Optimization (PSO) and Firefly Algorithm (FA). From the results, it has been perceived that the proposed technique shows superior performance in respect of Overshoot (Osh), Undershoot (Ush) and Settling Time (Ts) of the system frequency.

show abstract

“…Load‐frequency control (LFC) and tie‐line power fluctuations are becoming more complex and challenging in low‐inertia interconnected power systems, due to increasing penetration of intermittent energy sources 1,2 …”

Section: Introductionmentioning

confidence: 99%

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Kheshti

Ding

Abyaneh

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Due to the complexity and importance of the electricity grid stability, sophisticated control systems and computational approaches are essentially required to solve dynamical system frequency problems in multi‐area systems. Participation of wind turbines in power system frequency control in the form of stepwise inertial control in the presence of a proposed adequately tuned fuzzy‐PID load‐frequency control is investigated in this paper. A two‐area power system is studied in which it is linked through tie‐line and equipped with fuzzy‐PID control systems. To increase the energy transition and flexibility of the entire system against frequency events and parameters uncertainties, the fuzzy‐PID controllers are first tuned using lightning flash algorithm (LFA). The tuned controllers are then used in each area to optimally counterbalance the frequency deviations and the tie‐line power of the interconnected areas against varying load disturbances, wind power fluctuations, and to keep the renewable integrated system in a stable state. The sensitivity analysis is also conducted with a wide range of system parameter variations, uncertainties, and disturbances. Furthermore, the LFA‐tuned fuzzy‐PID load‐frequency control is also tested in a two‐area isolated microgrid, comprising wind turbine, PV panels, fuel cells, micro‐turbine, and diesel engine generator. The results obtained using the proposed approach are compared with other state‐of‐the‐arts algorithms and control systems in the literature. The compared results show the efficiency and robustness of the proposed optimization‐based controller for better frequency control in multi‐area power systems and isolated microgrids. The results also demonstrate that a finely tuned automatic generation controller gives a significant boost to grid frequency control when wind turbines participate in the inertial control, suggesting migration from conventional PID‐based automatic generation control to more adaptive control approaches.

show abstract

Design of an Optimized Fractional High Order Differential Feedback Controller for Load Frequency Control of a Multi-Area Multi-Source Power System With Nonlinearity

Cited by 53 publications

References 47 publications

An Optimized Hybrid Fractional Order Controller for Frequency Regulation in Multi-Area Power Systems

An Optimized Hybrid Fractional Order Controller for Frequency Regulation in Multi-Area Power Systems

Fitness Dependent Optimizer-Based Automatic Generation Control of Multi-Source Interconnected Power System With Non-Linearities

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Contact Info

Product

Resources

About