scholarly journals A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

2020 ◽  
Vol 221 ◽  
pp. 113161 ◽  
Author(s):  
Abba Lawan Bukar ◽  
Chee Wei Tan ◽  
Lau Kwan Yiew ◽  
Razman Ayop ◽  
Wen-Shan Tan
Keyword(s):  
Energy Management ◽  
Optimization Algorithm ◽  
Capacity Planning ◽  
Rule Based ◽  
Multi Objective ◽  
Optimal Capacity ◽  
Management Scheme ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization

Fractional order frequency proportional-integral-derivative control of microgrid consisting of renewable energy sources based on multi-objective grasshopper optimization algorithm

2021 ◽  
pp. 014233122110346
Author(s):  
Abdulsamed Tabak
Keyword(s):  
Fractional Order ◽  
Optimization Algorithm ◽  
Frequency Control ◽  
Frequency Deviation ◽  
Control Signal ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Multi Objective ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization

In recent years, fractional order proportional-integral-derivative (FOPID) controllers have been applied in different areas in the academy due to their superior performance over conventional proportional-integral-derivative (PID) controllers. When the literature is reviewed, it has been observed that lack of studies that use swarm-based and multi-objective optimization algorithms together with FOPID controllers in frequency control of micro-grid. The load frequency control (LFC) problem is considered as two objectives in order to eliminate the complications that occur when only the frequency deviation is minimized. In our study, a method called MOGOA-FOPID in which both the frequency deviation and the control signal are minimized together for the frequency control in the microgrid is proposed. By using the multi-objective grasshopper optimization algorithm (MOGOA), both the frequency deviation and the control signal are minimized together, and thus, it is aimed to limit the battery capacity, reduce the flywheel jerk and avoid high diesel fuel consumption as well as an effective frequency control. In order to obtain a more realistic system, not only the photovoltaic (PV) solar and wind power but also the load demand is taken in a stochastic structure. Then, the results of the proposed MOGOA-FOPID are compared with the results of multi-objective genetic algorithm (MOGA)-based PID/FOPID and MOGOA-PID and its superiority is demonstrated. Finally, robustness tests of the system are performed under the perturbed parameters and outperform of MOGOA-FOPID over other methods is seen.

scholarly journals Multi-objective grasshopper optimization algorithm based on multi-group and co-evolution

2021 ◽  
Vol 18 (3) ◽  
pp. 2527-2561
Author(s):  
Chao Wang ◽  
◽  
Jian Li ◽  
Haidi Rao ◽  
Aiwen Chen ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Multi Objective ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization

Grasshopper optimization algorithm for multi-objective optimization problems

2017 ◽  
Vol 48 (4) ◽  
pp. 805-820 ◽  
Author(s):  
Seyedeh Zahra Mirjalili ◽  
Seyedali Mirjalili ◽  
Shahrzad Saremi ◽  
Hossam Faris ◽  
Ibrahim Aljarah
Keyword(s):  
Optimization Algorithm ◽  
Optimization Problems ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization
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