Binary Dragonfly Algorithm-Designed Fuzzy Cascade Controller for AGC of Multi-area Power System with Nonlinearities

2020 ◽  
pp. 445-456
Author(s):  
Prakash Chandra Sahu ◽  
Subhadra Sahoo ◽  
Ramesh Chandra Prusty ◽  
Binod Kumar Sahu
Keyword(s):  
Power System ◽  
Dragonfly Algorithm

scholarly journals Frequency regulation of modern power system using novel hybrid DE-DA algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 103
Author(s):  
Sayantan Sinha ◽  
Ranjan Kumar Mallick
Keyword(s):  
Power System ◽  
Differential Evolution ◽  
Automatic Generation ◽  
Frequency Regulation ◽  
Hybrid Technique ◽  
Thermal Generation ◽  
Dragonfly Algorithm ◽  
Interconnected Power System ◽  
Load Disturbance ◽  
Tie Line

<p>An attempt has been made to regulate the frequency of an interconnected  modern power system using automatic generation control under a restructured market scenario. The system model considered consists of a thermal generation plant coupled with a gas turbine plant in both areas. The presence of deregulated market scenario in an interconnected power system makes it too vulnerable to small load disturbance giving rise to frequency and tie line power imbalances. An attempt has been made to introduce a novel Tilted Integral derivative controller to minimize the frequency and tie line power deviations and restrict them to scheduled values. A maiden attempt has been made to tune the controller gains with the help of a novel hybrid optimization scheme which includes the amalgamation of the exploitative nature of the Differential evolution technique and the explorative attributes of the Dragonfly Algorithm. This hybrid technique is therefore coined as Differential evolution- dragonfly algorithm (DE-DA) technique. Use of some standard benchmark fucntions are made to prove the efficacy of the proposed scheme in tunig the controller gains. The supremacy of the proposed TID controller is examined under two individual market scenarios and under the effect of a step load disturbance. The robustness of the controller in minimizing frequency deviations in the systems is broadly showcased. The superiority of the controller is also proved by comparing it with pre published results.</p>

scholarly journals A Hybrid DA-PSO Optimization Algorithm for Multiobjective Optimal Power Flow Problems

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2270 ◽  
Author(s):  
Sirote Khunkitti ◽  
Apirat Siritaratiwat ◽  
Suttichai Premrudeepreechacharn ◽  
Rongrit Chatthaworn ◽  
Neville Watson
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Hybrid Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Transmission Losses ◽  
Dragonfly Algorithm ◽  
Flow Problems ◽  
Hybrid Optimization Algorithm ◽  
Optimal Power

In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO, combines the frameworks of the dragonfly algorithm (DA) and particle swarm optimization (PSO) to find the optimized solutions for the power system. The hybrid algorithm adopts the exploration and exploitation phases of the DA and PSO algorithms, respectively, and was implemented to solve the MO-OPF problem. The objective functions of the OPF were minimization of fuel cost, emissions, and transmission losses. The standard IEEE 30-bus and 57-bus systems were employed to investigate the performance of the proposed algorithm. The simulation results were compared with those in the literature to show the superiority of the proposed algorithm over several other algorithms; however, the time computation of DA-PSO is slower than DA and PSO due to the sequential computation of DA and PSO.

Frequency regulation of wind energy integrated power system using a novel optimized type II fuzzy tilted integral derivative controller

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sayantan Sinha ◽  
Ranjan Kumar Mallick ◽  
Gayadhar Panda ◽  
Pravati Nayak ◽  
Ashok Bhoi
Keyword(s):  
Power System ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Dynamic Performance ◽  
Thermal Power ◽  
Research Work ◽  
Frequency Regulation ◽  
Type Ii ◽  
Dragonfly Algorithm ◽  
Whale Optimization

Abstract The prime objective of the proposed research work is to study the frequency response of a wind plant integrated two area power system under sudden load disturbances when considered under deregulated market environment. The thermal power system has been modelled with suitable generation constraint and governor dead bands. Erratic behaviour of wind power makes the power system very sensitive to frequency deviations and proper frequency control is needed for stability. A new tilted integral derivative controller (TID) with type II fuzzy controller is considered as secondary controller for minimizing frequency fluctuations. The gains of the controller are set at an optimal value with the help of newly designed hybrid Dragonfly algorithm–Whale optimization algorithm for proper control action. System dynamic performance with and without renewable penetration is studied and robustness of the proposed controller is established under various market conditions and varying renewable power integration.

scholarly journals Modern Swarm Intelligence based Algorithms for Solving Optimal Power Flow Problem in a Regulated Power System Framework

2021 ◽  
Vol 12 (2) ◽  
pp. 1786-1793
Author(s):  
Vijaya Bhaskar K, Et. al.
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Stability Index ◽  
Voltage Profile ◽  
Dragonfly Algorithm ◽  
Statistical Measures ◽  
Optimal Power ◽  
Decision Variables ◽  
Optimal Values

This paper presents artificial swarm intelligent based algorithms viz., Firefly Algorithm (FFA), Dragonfly Algorithm (DA) and Moth Swarm Algorithm (MSA) to take care of the issues related to optimal power flow (OPF) problem in a power system network. The optimal values of various decision variables obtained by swarm intelligent based algorithms can optimize various objective function of OPF problem. This article is focused with four objectives such as minimization of total fuel cost (TFC) and total active power loss (TAPL); improvisation of total voltage profile (TVD) and voltage stability index (VSI). The effectiveness of various swam intelligent algorithms are investigated on a standard IEEE-30 bus. The performance of distinct algorithms is compared with statistical measures and convergence characteristics.

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