A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mineblast harmony search (MBHS) utilizes the MBA...
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ISBN:
(纸本)9783662479261;9783662479254
A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mineblast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.
This paper presents novel models of Soft Computing (SC) Maximum Power Point Tracking (MPPT) controllers for Photo-Voltaic Water Pumping Systems(PVWPS) Based on DC Motor. Also paper discusses and evaluates the performa...
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This paper presents novel models of Soft Computing (SC) Maximum Power Point Tracking (MPPT) controllers for Photo-Voltaic Water Pumping Systems(PVWPS) Based on DC Motor. Also paper discusses and evaluates the performance of the proposed models. The proposed methodology is mainly based on duty cycle prediction of the cuk converter to track the maximum power point (MPP) of the PV array. Indeed of the maximum water flow rate of PVWPS at varying climate conditions must ensure that the motor-pump set operates at MPP. The analytical modeling for the proposed MPPT controller has been implemented to predict the optimal duty cycle of the converter for MPPT achievement within the different operating conditions of solar radiation, ambient temperature, and total static head. Also, different Soft Computing (SC) algorithms have been implemented and evaluated based on Particle Swarm Optimization (PSO) algorithm, mine blast algorithm (MBA), and beta-hill climbing (beta-HC) algorithm. A comparative study between SC algorithms, analytical modeling, and experimental works are given. Also evaluations of SC algorithms are done to verify SC algorithms' accuracy. This evaluation study has proven the significant improvement of daily water flow rate and also has specified the appropriateness of the SC algorithm for MPPT for a PVWPS. (C) 2021 Published by Elsevier Ltd.
This study investigates the frequency control of an isolated hybrid power system (HPS) in the presence of parabolic-trough solar thermal power system (STPS), wind generator, diesel engine generator and battery energy ...
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This study investigates the frequency control of an isolated hybrid power system (HPS) in the presence of parabolic-trough solar thermal power system (STPS), wind generator, diesel engine generator and battery energy storage system to ensure the system reliability. Dynamic performance of the HPS has been analysed considering the degree of penetration of solar thermal power. The inclusion of parabolic-trough-based STPS in such study is a maiden work. For coordinated control of the whole system and to damp out the oscillations occurring due to the disturbances, proportional-integral (PI) and PI-derivative controllers are incorporated whose gain parameters are simultaneously optimised by genetic algorithm, particle swarm optimisation, and mine blast algorithm (MBA). MBA-based control strategy in such a hybrid system has been reported for the first time. The dynamic response analysis with different algorithms figured out that the parameters of controllers tuned by MBA provide a significant improvement in the performance of HPS.
This paper exhibits an attempt for controlling the frequency of an independent microgrid (MG) system by using modified bias (MB) and Internal Model Control (IMC) based Pill Controller with mine blast algorithm (MBA) u...
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ISBN:
(纸本)9781665425360
This paper exhibits an attempt for controlling the frequency of an independent microgrid (MG) system by using modified bias (MB) and Internal Model Control (IMC) based Pill Controller with mine blast algorithm (MBA) under extreme unfavorable scenarios. Frequency deviation occurred in the system because of mismatch between Actual Generated power and total load demand. To address this issue the IMC-based the frequency regulation and gain parameters of the Microgrid are taken into consideration for finding the limits of control parameters for MBA, which will make sure that the search points produced by MBA are robust and stable. In realtime simulation environments using the digital simulator OPAL-RT, simulation of the proposed (MBA based MB-IMC) controller-based MG model has been appropriately tested. In various real-life situations, the system performance is obtained using the MBA-MBIMC controller and system outputs are closely investigated. The performance of MBA-MBIMC Controller is compared with that of PSO-MBIMC, MBIMC and MB-LDR controllers. The result shows that, in forms of peak deviation, time of settling and a smaller no. of oscillations, the proposed MBA-MBIMC controller provides the most optimum adaptive output.
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