Multi-source power system FOPID based Load Frequency Control with high-penetration of Distributed Generations

Shayeghi, Hossein; Molaee, Amir; Valipour, Kh.; Ghasemi, Ali

doi:10.1109/epdc.2016.7514796

Cited by 9 publications

(6 citation statements)

References 22 publications

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“…SSO characteristics that can minimize the occurrence of local optimum solutions makes this algorithm is often used to solve various problems such as Artificial Neural Network Training [23], [24], Support-Vector-Machine Parameter Tuning [25], [26], Controller Design [27]- [29], Frequency Controller [30], Image Processing [31], [32], Distributed Renewable Energy [33], Congestion Management [34], or Anti-Islanding Protection [35]. [36] shows several international publications that have been indexed by JCR (Journal Citation Report) from 2014 to 2017.…”

Section: Paper Contribution a Sso Basic Conceptmentioning

confidence: 99%

“…As an enhancement, in this research, we propose a new behavior of ND as shown in (29) where m k i represents the position of a non-dominant male spider m i in the k th iteration. Because we try to solve the MPME problem variant where the evaders manage to attack a global target G, we propose the use of non-dominant spiders as the last-perimeter of G defenders.…”

Section: ) Female Spider Movementmentioning

confidence: 99%

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Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Husodo

Jati

Octavian³

et al. 2020

IEEE Access

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We propose an optimization algorithm for reducing execution time needed by multiple pursuers in solving a variant of the Multiple-Pursuer Multiple-Evader (MPME) problem where each evader tries to attack an area defended by pursuers. This problem is a variant of the Multi-Agent Pursuit Evasion problem. In our discussed problem, a group of pursuers tries to defend an area from a group of evaders' attacks. The main task given in this problem is how pursuers can capture or immobilize as soon as possible any evader trying to get closer to the defended area (evaders' target). We use Social Spider Optimization (SSO) algorithm as the basis of our proposed method. In SSO, there are female spiders, dominant-male spiders, and non-dominant-male spiders collaborating to catch their prey. In SSO, there are three main procedures usually exist: calculation of fitness value, the vibrational summons of surrounding spiders, and mating procedure. In this paper, we develop an enhanced SSO algorithm where excludes the mating procedure and propose a practical calculation process for solving our discussed problem. SSO is one of the recent optimization algorithms developed in the computer science field. Developing this algorithm for solving dynamic problem like the MPME variant surely brings a novelty in the computer science research area. We test our proposed method in a 3D simulation environment where we manifest all pursuers and evaders as drones. Based on our experiment result, our algorithm performs better than commonly used methods for solving the MPME problem.

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Section: Paper Contribution a Sso Basic Conceptmentioning

confidence: 99%

Section: ) Female Spider Movementmentioning

confidence: 99%

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Husodo

Jati

Octavian³

et al. 2020

IEEE Access

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show abstract

“…However, even though this shows an improvement in the frequency response, the optimisation function was absent. A fractional order proportional integral derivative (PID) controller, optimised using the social spider optimisation algorithm, for secondary control in power systems incorporating distributed generation, is presented in [10]. In this case, the optimisation function involved frequency deviation in the connected areas and the results demonstrated an improvement in the frequency response, including a wind power model.…”

Section: Introductionmentioning

confidence: 99%

Innovative primary frequency control in low‐inertia power systems based on wide‐area RoCoF sharing

Chamorro

Sevilla

González-Longatt

et al. 2020

IET Energy Systems Integration

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Future plans for integration of large non-synchronous generation and the expansion of the power system in the Nordic countries are a concern to transmission system operators due to the common interconnections and electricity exchanges among these operative areas. The expected reduction in the inertia anticipates an alteration of the frequency response, provoking a high Rate of Change of Frequency (RoCoF) slopes that can jeopardise the security of the interconnected systems. Since power generation in the Nordic countries such as Sweden, Finland and Norway is hydro-dominated, here, the authors propose a novel solution to tackle this problem including wide area measurements to monitor and share the RoCoF in remote areas with lower inertia to enhance their primary frequency control. To demonstrate the effectiveness of the proposed solution, first a test benchmark control with optimised parameters is developed and later compared against the proposed method. Additionally, since the proposed solution is based on measurements from remote locations in order to guarantee the stability of the system the impact of delays in the communication channels is also included in the problem formulation.

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“…To hold the frequency and Tie-line power deviation within the acceptable limits for different operating conditions and load demand for the LFC problem is preferred. For tuning of the FOPID controller with the help of regression model can be implemented for AVR system in state-space tuning for weapon system [4]. It has a postponement thought…”

Section: Introductionmentioning

confidence: 99%

Application of FOPID Design for LFC Using Flower Pollination Algorithm for Three-Area Power System

Sambariya¹,

Nagar²,

Sharma³

2020

ujca

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In power system, frequency is one of the main factor which affects the A.C. system. In order to maintain the performance of the system, frequency need to be controlled on the generation part as well as load side. In this paper, fractional order PID (FOPID) controller is designed for the three-area load frequency control (LFC) in an interrelated power system (PS) in MATLAB simulation. The LFC of generating units have used in frequency control of the dissolute response in the power system. FOPID controller parameters are intended using the Flower Pollination Algorithm (FPA) for the minimize error. The prototype of generating units with FOPID controller is simulated in MATLAB/SIMULINK platform. In this study, simulation researches on a three-area LFC with different generating units are considered. The objective function is the minimization of the Integral Squared Error (ISE) for the optimum strategy of FOPID parameters. These results presented that the FOPID controller was vital to the parameter variations in the considered system. The simulation results specialized much better performance of FOPID controller for LFC in comparison with other FOPID controllers available in the literature. FPA-FOPID Controller in the system as compared to the existing ICA-FOPID and GA-FOPID controller in literature. The result shows that the FPA result outperforms as compared with other results.

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Multi-source power system FOPID based Load Frequency Control with high-penetration of Distributed Generations

Cited by 9 publications

References 22 publications

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Innovative primary frequency control in low‐inertia power systems based on wide‐area RoCoF sharing

Application of FOPID Design for LFC Using Flower Pollination Algorithm for Three-Area Power System

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