Adapted Grey Wolf Optimizer for Dynamic Economic Dispatch in a Hybrid Microgrid

2021 ◽  
Author(s):  
Dorian O. Sidea ◽  
Andrei M. Tudose ◽  
Irina I. Picioroaga ◽  
Lucian Toma ◽  
Constantin Bulac
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Microgrid ◽  
Dynamic Economic Dispatch

Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer

2015 ◽  
Vol 785 ◽  
pp. 511-515 ◽  
Author(s):  
Lo Ing Wong ◽  
Mohd Herwan Sulaiman ◽  
Mohd Rusllim Mohamed
Keyword(s):  
Canis Lupus ◽  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Ramp Rate ◽  
Nonlinear Characteristics ◽  
Simulation Results ◽  
Alpha Beta ◽  
Ramp Rate Limits ◽  
Practical Constraints

This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting: searching for prey, encircling prey and attacking prey are implemented. In this paper, GWO was demonstrated and tested on two well-known test systems with practical constraints. A comparison of simulation results is carried out with those published in the recent literatures. The results show that the GWO algorithm is able to provide very competitive results for nonlinear characteristics of the generators such as ramp rate limits, prohibited zone and non-smooth cost functions compared to the other well-known meta-heuristics techniques.

Economic dispatch using hybrid grey wolf optimizer

Energy ◽  
2016 ◽  
Vol 111 ◽  
pp. 630-641 ◽  
Author(s):  
T. Jayabarathi ◽  
T. Raghunathan ◽  
B.R. Adarsh ◽  
Ponnuthurai Nagaratnam Suganthan
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf

scholarly journals Quasi-oppositional Grey Wolf Optimizer Algorithm for Economic Dispatch

2018 ◽  
Vol 11 (41) ◽  
pp. 1-28 ◽  
Author(s):  
Das Diptanu ◽  
Bhattacharya Aniruddha ◽  
Narayan Ray Rup ◽  
◽  
◽  
...  
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf

scholarly journals Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4637 ◽  
Author(s):  
Ke Jiang ◽  
Feng Wu ◽  
Xuanjun Zong ◽  
Linjun Shi ◽  
Keman Lin
Keyword(s):  
Economic Dispatch ◽  
Consensus Algorithm ◽  
Main Trend ◽  
Hybrid Microgrid ◽  
Proposed Model ◽  
Optimal Values ◽  
Finite Step ◽  
Dynamic Economic Dispatch ◽  
Operation Cost ◽  
Generation Unit

The AC/DC hybrid microgrid is the main trend of microgrids’ development, and the dynamic economic dispatch is regarded as an important way to ensure the economic and safe operation of a microgrid system. In this paper, a dynamic economic dispatch model of the isolated AC/DC hybrid microgrid is developed with the objective of minimizing the daily operation cost of controllable units. Furthermore, a distributed algorithm based on the finite-step consensus algorithm is proposed, in which the incremental cost of each distributed generation unit is set as a consensus variable, and all units obtain the optimal values by exchanging information only with their neighbors. In addition, the algorithm converges to the optimal solutions in finite steps, and the efficiency is improved significantly. The effectiveness of the proposed model and the algorithm were verified by simulation.

scholarly journals Penyelesaian Masalah Economic Dispatch Menggunakan Equilibrium Optimizer

2021 ◽  
Vol 13 (1) ◽  
pp. 10-17
Author(s):  
Osea Zebua ◽  
I Made Ginarsa ◽  
I Made Ari Nrartha
Keyword(s):  
Case Studies ◽  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Total Load ◽  
Load Demand ◽  
Whale Optimization ◽  
Operating Constraints ◽  
Fuel Costs

This paper presents a metaheuristic method, namely Equilibrium Optimizer (EO) to solve the economic dispatch (ED) problem. The main objective function to be achieved is to minimize the total fuel costs of all generating units to meet the total load demand and to satisfy various operating constraints. Three case studies are used to test the effectiveness of the EO method in solving ED problems, they are three generators case, six generators case, and fifteen generators case. The simulation of solving ED problems using the EO method is implemented using MATLAB software and is carried out 30 times for each case study. The results of EO method are compared with Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) methods. The simulation results show that the EO method can solve the ED problem more optimal than all other comparison methods for all the case studies by producing the minimum total fuel costs.

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