A new Non-Dominated Sorting Grey Wolf Optimizer (NS-GWO) algorithm: Development and application to solve engineering designs and economic constrained emission dispatch problem with integration of wind power

2018 ◽  
Vol 72 ◽  
pp. 449-467 ◽  
Author(s):  
Pradeep Jangir ◽  
Narottam Jangir
Keyword(s):  
Wind Power ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Algorithm Development ◽  
Engineering Designs ◽  
Emission Dispatch

scholarly journals Economic emission dispatch on unit commitment-based microgrid system considering wind and load uncertainty using hybrid MGWOSCACSA

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Bishwajit Dey ◽  
Biplab Bhattacharyya ◽  
Saurav Raj ◽  
Rohit Babu
Keyword(s):  
Wind Power ◽  
Wind Farm ◽  
Unit Commitment ◽  
Search Algorithm ◽  
Test System ◽  
Grey Wolf Optimizer ◽  
Generation Cost ◽  
Sine Cosine Algorithm ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

Abstract Economic emission dispatch (EED) of a three-unit stand-alone microgrid system supported by a wind farm is percolated in this paper. The adverse effects of stochastic and uncertainty nature of wind energy in raising the generation cost of the microgrid system are studied in this article. Unit commitment (UC) of the generating units is taken into account which helps in reducing the generation cost and provides relaxation time to the generation units. Three cases are contemplated for the study. For the first two cases, the generation cost of the test system was minimized without and with the involvement of wind power, respectively. The third case considered the involvement of wind power along with the UC of the conventional generation units. A novel hybrid of recently developed superior optimization algorithms, viz. grey wolf optimizer (GWO), sine–cosine algorithm (SCA) and crow search algorithm (CSA), is implemented to perform EED, and the results are compared with basic GWO and other hybrid algorithms. Results are then analysed to compare and contrast among these cases and justify the reliable and profitable one. Statistical analysis claims the superiority of the proposed hybrid MGWOSCACSA over other hybrids and GWO.

scholarly journals Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

2017 ◽  
Vol 7 (5) ◽  
pp. 2309
Author(s):  
S. Siva Sakthi ◽  
R.K. Santhi ◽  
N. Murali Krishnan ◽  
S. Ganesan ◽  
S. Subramanian
Keyword(s):  
Power System ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Thermal Unit ◽  
Solution Quality

The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality.

scholarly journals Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm

2020 ◽  
Vol 26 (6) ◽  
pp. 32-39
Author(s):  
Fannie Kong ◽  
Jinfang Li ◽  
Daliang Yang
Keyword(s):  
Wind Power ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Grey Wolf Optimizer ◽  
Random Disturbance ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Load Frequency

The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is presented based on the offspring grey wolf optimizer (OGWO) search strategy to handle local convergence for the GWO algorithm in the later stage. The experimental results show that the improved grey wolf algorithm has a superior optimization ability for the standard test function. The traditional proportional integral derivative (PID) controller cannot track the random disturbance of wind power in the hydro, thermal, and wind interconnected power grid. However, the proposed OGWO dynamically adjusts the PID controller control parameters to follow the wind power random disturbance, regional frequency deviation, and tie-line power deviation.

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

Optimizing cetane improver concentration in biodiesel-diesel blend via grey wolf optimizer algorithm

Fuel ◽  
2020 ◽  
Vol 273 ◽  
pp. 117784 ◽  
Author(s):  
Erol Ileri ◽  
Aslan Deniz Karaoglan ◽  
Sener Akpinar
Keyword(s):  
Grey Wolf Optimizer ◽  
Grey Wolf
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