In the upcoming epochs, conventional energy may deplete soon. Thus, the use of conventional energy in the power industries need to be supplemented by non-conventional energy resources. This would result in loss of syn...
详细信息
In the upcoming epochs, conventional energy may deplete soon. Thus, the use of conventional energy in the power industries need to be supplemented by non-conventional energy resources. This would result in loss of synchronisms in the power grids owing to the fact that solar and wind alternate their attributes expeditiously with change in atmospheric phenomenon. To ameliorate frequency deviation within a specific range automatic generation control (AGC) implements forced allowance on system operation. A three area thermal with photovoltaic (PV), electric vehicle (EV), wind system is considered under deregulated environment to develop and to judge the efficacy of newly developed cascade fractional order hybrid controller combination of (FOTID & 3DOF-PID). Comparing the aforementioned controller to other controllers such as the three degree of freedom proportional-integral-derivative (3DOF-PID), the fractional order tilt-integral-derivative (FOTID) and the proportional-integral-derivative (PID) justifies the system's effectiveness. This assessment has been accomplished by a trendy optimization technique such as hybrid whale optimization algorithm (HWOA). However, the main intent of this write-up is to fabricate a cascade fractional order (CC-FO) hybrid controller that would act as the new control mechanism for the proposed system under deregulated scenario. It has been found that the suggested CC-FO hybrid controller stabilizes the system (i.e., Under step load disruptions, frequency deviation and tie-line power become zero) in the shortest amount of time possible. Additionally, it is seen that the recommended controller can control a wide range of nominal loading circumstances and system characteristics, demonstrating its robustness.
Many meta-heuristic algorithms have been used in designing PID controllers to control automatic voltage regulator (AVR) system. PIDD2 controller is a PID controller with second-order derivative gain. The fireworks wha...
详细信息
Many meta-heuristic algorithms have been used in designing PID controllers to control automatic voltage regulator (AVR) system. PIDD2 controller is a PID controller with second-order derivative gain. The fireworks whaleoptimizationalgorithm is an advanced metaheuristic algorithm that combines fireworks and whaleoptimizationalgorithms. It has good exploratory properties because it explores a large potential space and avoids premature local optima. This paper presents a PIDD2 controller for improving the performance of the AVR system using the hybrid whale optimization algorithm. The simulation results, divided into two parts based on whether the limitation of the excitation voltage is considered or not, include a detailed analysis of the proposed controller in terms of step response, stability analysis, trajectory tracking, parameter uncertainty, and rejection of disturbance. To demonstrate the effectiveness of the proposed controller of the AVR system, it was compared with the controllers in recent literature in each of the aforementioned terms. The proposed controller, in most comparisons, provides better results than other controllers. All these results demonstrate that the performance and robustness of the proposed controller are competitive.
Plane block parallel blocking flowline is a special parallel blocking flowline, which can also be called incomplete hybrid flowline. However, the existing scheduling work has less research on this problem and lacks th...
详细信息
Plane block parallel blocking flowline is a special parallel blocking flowline, which can also be called incomplete hybrid flowline. However, the existing scheduling work has less research on this problem and lacks the constraint of considering the deterioration effect. Therefore, this paper studies the plane block parallel blocking flowline scheduling problem considering the deterioration effect (PBFSP-DE). This is a typical NP hard problem, so this paper proposes a hybrid whale optimization algorithm (HWOA) for this problem. In the HWOA, tent map of chaotic map is introduced to initialize the population, to improve the diversity of the initial population and effectively improve the optimization performance of the algorithm. Then, a hybrid strategy combining adaptive weight factor and Gaussian random disturbance is used to update the whale's position, to provide strong global exploration ability and avoid falling into local optimum. In addition, Levy flight mechanism is applied to the current optimal individuals to improve the efficiency of local search. Finally, the results show that the HWOA proposed in this paper has strong engineering practicability.
Test suite optimization is an ever-demanded approach for regression test cost reduction. Regression testing is conducted to identify any adverse effects of maintenance activity on previously working versions of the so...
详细信息
Test suite optimization is an ever-demanded approach for regression test cost reduction. Regression testing is conducted to identify any adverse effects of maintenance activity on previously working versions of the software. It consumes almost seventy percent of the overall software development lifecycle budget. Regression test cost reduction is therefore of vital importance. Test suite optimization is the most explored approach to reduce the test suite size to re-execute. This article focuses on test suite optimization as a regression test case selection, which is a proven N-P hard combinatorial optimization problem. The authors have proposed an almost safe regression test case selection approach using a hybrid whale optimization algorithm and empirically evaluated the same on subject programs retrieved from the Software Artifact Infrastructure Repository with Bat Search and ACO-based regression test case selection approaches. The analyses of the obtained results indicate an improvement in the fault detection ability of the proposed approach over the compared ones with significant reduction in test suite size.
The standard whalealgorithm is easy to fall into the local optimum, in order to further improve the performance of the whaleoptimizationalgorithm, improve the local search ability and global search ability of the a...
详细信息
ISBN:
(数字)9781728182889
ISBN:
(纸本)9781728182896
The standard whalealgorithm is easy to fall into the local optimum, in order to further improve the performance of the whaleoptimizationalgorithm, improve the local search ability and global search ability of the algorithm, a new hybrid whale optimization algorithm is proposed in this paper. Differential evolution algorithm is combined with the standard whaleoptimizationalgorithm, and chaos initialization population and chaos disturbance, adaptive convergence operator, adaptive selection and other operations are added to the algorithm. Several test functions have been used to prove its superiority in accuracy and speed.
暂无评论