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In power systems protection, the optimal coordination of directional overcurrent relays (DOCRs) is of paramount importance. The coordination of DOCRs in a multi-loop power system is formulated as an optimization problem. The main objective of this paper is to develop the whale optimization algorithm (WOA) for the optimal coordination of DOCRs and minimize the sum of the operating times of all primary relays. The WOA is inspired by the bubble-net hunting strategy of humpback whales which leads toward global minima. The proposed algorithm has been applied to six IEEE test systems including the IEEE three-bus, eight-bus, nine-bus, 14-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed WOA are compared with those obtained by other up-to-date algorithms. The obtained results show the effectiveness of the proposed WOA to minimize the relay operating time for the optimal coordination of DOCRs.
Abdul Wadood; Tahir Khurshaid; Saeid GholamiFarkoush; Jiangtao Yu; Chang-Hwan Kim; Sang-Bong Rhee. Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems. Energies 2019, 12, 2297 .
AMA StyleAbdul Wadood, Tahir Khurshaid, Saeid GholamiFarkoush, Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee. Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems. Energies. 2019; 12 (12):2297.
Chicago/Turabian StyleAbdul Wadood; Tahir Khurshaid; Saeid GholamiFarkoush; Jiangtao Yu; Chang-Hwan Kim; Sang-Bong Rhee. 2019. "Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems." Energies 12, no. 12: 2297.
In electrical engineering problems, bio- and nature-inspired optimization techniques are valuable ways to minimize or maximize an objective function. We use the root tree algorithm (RTO), inspired by the random movement of roots, to search for the global optimum, in order to best solve the problem of overcurrent relays (OCRs). It is a complex and highly linear constrained optimization problem. In this problem, we have one type of design variable, time multiplier settings (TMSs), for each relay in the circuit. The objective function is to minimize the total operating time of all the primary relays to avoid excessive interruptions. In this paper, three case studies have been considered. From the simulation results, it has been observed that the RTO with certain parameter settings operates better compared to the other up-to-date algorithms.
Abdul Wadood; Saeid Gholami Farkoush; Tahir Khurshaid; Chang-Hwan Kim; Jiangtao Yu; Zong Woo Geem; Sang-Bong Rhee. An Optimized Protection Coordination Scheme for the Optimal Coordination of Overcurrent Relays Using a Nature-Inspired Root Tree Algorithm. Applied Sciences 2018, 8, 1664 .
AMA StyleAbdul Wadood, Saeid Gholami Farkoush, Tahir Khurshaid, Chang-Hwan Kim, Jiangtao Yu, Zong Woo Geem, Sang-Bong Rhee. An Optimized Protection Coordination Scheme for the Optimal Coordination of Overcurrent Relays Using a Nature-Inspired Root Tree Algorithm. Applied Sciences. 2018; 8 (9):1664.
Chicago/Turabian StyleAbdul Wadood; Saeid Gholami Farkoush; Tahir Khurshaid; Chang-Hwan Kim; Jiangtao Yu; Zong Woo Geem; Sang-Bong Rhee. 2018. "An Optimized Protection Coordination Scheme for the Optimal Coordination of Overcurrent Relays Using a Nature-Inspired Root Tree Algorithm." Applied Sciences 8, no. 9: 1664.
A large number of electromagnetic transient studies have been analyzed for finding the overvoltage behavior of power system. A grounding grid of power system is so important for reducing the effect of overvoltage phenomena during a short-circuit event. Two sections are important in grounding system behavior: soil ionization and inductive behavior; this paper focuses on the inductive manner of grounding grid. The grounding grid is considered as a conductor segment; each conductor segment acts as a grounding unit. In this paper, the transient methodology is introduced to investigate the lightning effect on grounding body at each point of grounding grid in normal and optimized conditions. Genetic algorithm is applied for regular and irregular grounding grid to obtain best values of mesh size with the lower ground potential rise (GPR) as compared with the normal condition for more safety. The grounding grid is a combination of inductance, resistance, and capacitance. This model is suitable for practical applications related to fault diagnosis. Several voltages on different positions of grounding grid are described in this paper using ATP-EMTP and genetic algorithm. The computer simulation shows that the proposed scheme is highly feasible and technically attractive.
Saeid GholamiFarkoush; Tahir Khurshaid; Abdul Wadood; Chang-Hwan Kim; Kumail Hassan Kharal; Kyu-Ho Kim; Namhun Cho; Sang-Bong Rhee. Investigation and Optimization of Grounding Grid Based on Lightning Response by Using ATP-EMTP and Genetic Algorithm. Complexity 2018, 2018, 1 -8.
AMA StyleSaeid GholamiFarkoush, Tahir Khurshaid, Abdul Wadood, Chang-Hwan Kim, Kumail Hassan Kharal, Kyu-Ho Kim, Namhun Cho, Sang-Bong Rhee. Investigation and Optimization of Grounding Grid Based on Lightning Response by Using ATP-EMTP and Genetic Algorithm. Complexity. 2018; 2018 ():1-8.
Chicago/Turabian StyleSaeid GholamiFarkoush; Tahir Khurshaid; Abdul Wadood; Chang-Hwan Kim; Kumail Hassan Kharal; Kyu-Ho Kim; Namhun Cho; Sang-Bong Rhee. 2018. "Investigation and Optimization of Grounding Grid Based on Lightning Response by Using ATP-EMTP and Genetic Algorithm." Complexity 2018, no. : 1-8.
The economic load dispatch (ELD) problem is an optimization problem of minimizing the total fuel cost of generators while satisfying power balance constraints, operating capacity limits, ramp-rate limits and prohibited operating zones. In this paper, a novel multi-population based chaotic JAYA algorithm (MP-CJAYA) is proposed to solve the ELD problem by applying the multi-population method (MP) and chaotic optimization algorithm (COA) on the original JAYA algorithm to guarantee the best solution of the problem. MP-CJAYA is a modified version where the total population is divided into a certain number of sub-populations to control the exploration and exploitation rates, at the same time a chaos perturbation is implemented on each sub-population during every iteration to keep on searching for the global optima. The proposed MP-CJAYA has been adopted to ELD cases and the results obtained have been compared with other well-known algorithms reported in the literature. The comparisons have indicated that MP-CJAYA outperforms all the other algorithms, achieving the best performance in all the cases, which indicates that MP-CJAYA is a promising alternative approach for solving ELD problems.
Jiangtao Yu; Chang-Hwan Kim; Abdul Wadood; Tahir Khurshiad; Sang-Bong Rhee. A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems. Energies 2018, 11, 1946 .
AMA StyleJiangtao Yu, Chang-Hwan Kim, Abdul Wadood, Tahir Khurshiad, Sang-Bong Rhee. A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems. Energies. 2018; 11 (8):1946.
Chicago/Turabian StyleJiangtao Yu; Chang-Hwan Kim; Abdul Wadood; Tahir Khurshiad; Sang-Bong Rhee. 2018. "A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems." Energies 11, no. 8: 1946.
In an electrical power system, the coordination of the overcurrent relays plays an important role in protecting the electrical system by providing primary as well as backup protection. To reduce power outages, the coordination between these relays should be kept at the optimum value to minimize the total operating time and ensure that the least damage occurs under fault conditions. It is also imperative to ensure that the relay setting does not create an unintentional operation and consecutive sympathy trips. In a power system protection coordination problem, the objective function to be optimized is the sum of the total operating time of all main relays. In this paper, the coordination of overcurrent relays in a ring fed distribution system is formulated as an optimization problem. Coordination is performed using proposed continuous particle swarm optimization. In order to enhance and improve the quality of this solution a local search algorithm (LSA) is implanted into the original particle swarm algorithm (PSO) and, in addition to the constraints, these are amalgamated into the fitness function via the penalty method. The results achieved from the continuous particle swarm optimization algorithm (CPSO) are compared with other evolutionary optimization algorithms (EA) and this comparison showed that the proposed scheme is competent in dealing with the relevant problems. From further analyzing the obtained results, it was found that the continuous particle swarm approach provides the most globally optimum solution.
Abdul Wadood; Chang-Hwan Kim; Tahir Khurshiad; Saeid Gholami Farkoush; Sang-Bong Rhee. Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method. Energies 2018, 11, 869 .
AMA StyleAbdul Wadood, Chang-Hwan Kim, Tahir Khurshiad, Saeid Gholami Farkoush, Sang-Bong Rhee. Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method. Energies. 2018; 11 (4):869.
Chicago/Turabian StyleAbdul Wadood; Chang-Hwan Kim; Tahir Khurshiad; Saeid Gholami Farkoush; Sang-Bong Rhee. 2018. "Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method." Energies 11, no. 4: 869.
With the expanding size of the power system, there is a certain way of finding solutions to maximize the utilization of existing systems and to provide adequate voltage support. For this, power flexibility is needed. A flexible AC transmission system (FACTS), if located optimally, can be useful in providing voltage support and controlling power flow, which in turn results in lower losses in deregulated power system. This paper proposes a method of finding the optimal location of unified power flow controller (UPFC) to relieve congestion using a sensitivity analysis approach by the Fast de-coupled methodology. The impact of these gadgets on line flows and bus voltage profiles has been studied by placement at the line which is the most positive sensitive or more negative sensitive location and placing them optimally with optimal ratings dictated by sensitivity analysis, in order to reduce losses and improve the voltage profile. The effectiveness of the developed algorithm has been tested on an IEEE 14-bus system.
Tahir Khurshaid; Chang-Hwan Kim; Abdul Wadood; Sang-Bong Rhee. Congestion Mitigation, Voltage Profile Improvement and Power Loss Minimization in Restructured Power System. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 2017, 31, 16 -25.
AMA StyleTahir Khurshaid, Chang-Hwan Kim, Abdul Wadood, Sang-Bong Rhee. Congestion Mitigation, Voltage Profile Improvement and Power Loss Minimization in Restructured Power System. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 2017; 31 (10):16-25.
Chicago/Turabian StyleTahir Khurshaid; Chang-Hwan Kim; Abdul Wadood; Sang-Bong Rhee. 2017. "Congestion Mitigation, Voltage Profile Improvement and Power Loss Minimization in Restructured Power System." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 31, no. 10: 16-25.