scholarly journals Solving practical economic load dispatch problem using crow search algorithm

2020 ◽  
Vol 10 (4) ◽  
pp. 3431 ◽  
Author(s):  
Shaimaa R. Spea
Keyword(s):  
Statistical Analysis ◽  
Optimization Problem ◽  
Search Algorithm ◽  
Linear Optimization ◽  
The Other ◽  
Economic Load Dispatch ◽  
High Quality ◽  
Linear Optimization Problem ◽  
Loading Effects ◽  
Simulation Results

The practical economic load dispatch problem is a non-convex, non-smooth, and non-linear optimization problem due to including practical considerations such as valve-point loading effects and multiple fuel options. An optimization algorithm named crow search algorithm is proposed in this paper to solve the practical non-convex economic load dispatch problem. Three cases with different economic load dispatch configurations are studied. The simulation results and statistical analysis show the efficiency of the proposed crow search algorithm. Also, the simulation results are compared to the other reported algorithms. The comparison of results confirm the high-quality solutions and the effectiveness of the proposed method for solving the non-convex practical economic load dispatch problem.

Four-bar motion generation with elasticity constraints and optimization

2009 ◽  
Vol 223 (3) ◽  
pp. 245-253
Author(s):  
Y M Al-Smadi ◽  
K Russell ◽  
R S Sodhi
Keyword(s):  
Optimization Problem ◽  
Search Algorithm ◽  
Linear Optimization ◽  
Motion Generation ◽  
Linear Optimization Problem ◽  
Transmission Angle ◽  
Non Linear ◽  
Transverse Deflection ◽  
Static Torque ◽  
Motion Generator

In conventional planar four-bar motion generation, all mechanism links are assumed rigid or non-deforming. Although the assumption of link rigidity in kinematic synthesis may be generally appropriate and often practiced, a statically loaded planar four-bar mechanism will undergo a degree of elastic deflection, particularly the crank and follower links. In this work, a non-linear optimization problem is formulated for planar four-bar motion generation that considers an applied coupler force and corresponding crank static torque, crank transverse deflection, and follower buckling. The output from the non-linear optimization problem – mechanism fixed and moving pivot loci – are input for a search algorithm that down selects a mechanism solution that satisfies transmission angle conditions, Grashof conditions, and a mechanism compactness condition. The final output of the presented method is planar four-bar motion generator that approximates prescribed coupler poses with satisfactory crank deflection and without follower buckling and also satisfies conditions for link rotatability, transmission angle and compactness.

scholarly journals A New Pricing Scheme for Intra-Microgrid and Inter-Microgrid Local Energy Trading

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 898 ◽  
Author(s):  
Shama Naz Islam
Keyword(s):  
Numerical Simulation ◽  
Optimization Problem ◽  
Linear Optimization ◽  
Time Instant ◽  
Local Energy ◽  
Energy Trading ◽  
Linear Optimization Problem ◽  
Pricing Scheme ◽  
Simulation Results ◽  
Pricing Schemes

In this paper, an optimum pricing scheme has been designed to maximize the profits earned by sellers in microgrids through intra-microgrid and inter-microgrid local energy trading. The pricing function is optimized for different priority groups of participants within the microgrid and it is represented as a linear function of the energy sold/purchased during energy trading. A non-linear optimization problem has been formulated to optimize the amount of energy sold, as well as the coefficients of pricing function with an objective to maximize the profit for the sellers at a certain time instant. The numerical simulation results demonstrate that the proposed approach can reduce energy mismatch at the participants compared to the case when different priority groups are not considered. The findings also illustrate that the optimum pricing function can achieve higher profit for the sellers when compared with existing pricing schemes.

scholarly journals Solving Fuzzy Bi-matrix Games Through a Interval Value Function Approach

2018 ◽  
Author(s):  
Kaisheng Liu ◽  
Yumei Xing
Keyword(s):  
Equilibrium Solution ◽  
Optimization Problem ◽  
Value Function ◽  
Linear Optimization ◽  
Function Approach ◽  
Game Model ◽  
Optimal Solutions ◽  
Matrix Games ◽  
Linear Optimization Problem ◽  
Interval Value

This article puts forward the bi-matrix games with crisp parametric payoffs based on interval value function approach. We conclude that the equilibrium solution of the game model can converted into optimal solutions of the pair of the non-linear optimization problem. Finally, experiment results show the efficiency of the model.

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