Modified iteration particle swarm optimization procedure for economic dispatch solving with non-smooth and non-convex fuel cost function

2014 ◽  
Author(s):  
K. Zare ◽  
T.G. Bolandi
Keyword(s):  
Particle Swarm Optimization ◽  
Cost Function ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Optimization Procedure ◽  
Fuel Cost ◽  
Swarm Optimization

Solution of Economic Dispatch Problems with Smooth and Non Smooth Cost Function Using Particle Swarm Optimization

2014 ◽  
Vol 984-985 ◽  
pp. 1295-1300
Author(s):  
S.R. Darsana ◽  
K. Dhayalini ◽  
S. Sathiyamoorthy
Keyword(s):  
Particle Swarm Optimization ◽  
Cost Function ◽  
Large Scale ◽  
Optimization Problem ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Relaxation Method ◽  
Cost Functions ◽  
Practical Consideration ◽  
Swarm Optimization

This paper deals with solution of economic dispatch problem with smooth and non smooth cost function. With practical consideration, ED will have non smooth cost functions with equality and inequality constraints that make the problem, a large-scale highly constrained nonlinear optimization problem. Here particle swarm optimization (PSO) technique is used to solve economic dispatch. PSO based algorithm is easy to implement and it performs well on optimization problem. To demonstrate the effectiveness of the proposed method it is being applied to test ED problems, with smooth and non smooth cost functions. Comparison with lagrangian relaxation method showed the superiority of the proposed approach to check the efficiency, studies have been performed for 6 generating unit with smooth cost function. Numerical simulations indicate an improvement in total fuel cost savings.

scholarly journals Application of Particle Swarm Optimization in Solving Economic Dispatch with Multiple Fuel Options

2021 ◽  
Vol 7 (3) ◽  
pp. 008-023
Author(s):  
PK Olulope ◽  
OM Amusan ◽  
CE Okafor
Keyword(s):  
Particle Swarm Optimization ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Global Solutions ◽  
Optimization Methods ◽  
Maintenance Cost ◽  
Fuel Cost ◽  
Generator System ◽  
Swarm Optimization ◽  
Cost Curves

Minimizing electricity generation cost which includes fuel cost, emission cost, operation/maintenance cost and network loss cost of multiple operating units has been a major issue in the power sector. The economic dispatch has the objective of allocating different loads to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. Conventional optimization methods assume generator cost curves to be continuous and monotonically increasing, but modern generators have a variety of nonlinearities in their cost curves making this assumption inaccurate, and the resulting approximate dispatches cause a lot of revenue loss. Computational intelligence optimization like Particle Swarm Optimization performs better for such problems. To know the effectiveness and efficiency in solving economic dispatch, this paper proposes the application of particle swarm optimization. The mathematical model of economic dispatch is developed and then, Particle Swarm Optimization is developed to solve the economic dispatch problem using 3-generator and 6-generator system with multiple fuel option. The test results clearly demonstrated that particle swarm optimization which is capable of achieving global solutions is simple, excellent computationally efficiency and has better and stable dynamic convergence characteristics with a high probability.

Sign in / Sign up

Export Citation Format

Share Document