Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch

2009 ◽  
Vol 31 (6) ◽  
pp. 249-257 ◽  
Author(s):  
Krishna Teerth Chaturvedi ◽  
Manjaree Pandit ◽  
Laxmi Srivastava
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Economic Power ◽  
Time Varying ◽  
Swarm Optimization ◽  
Power Dispatch ◽  
Economic Power Dispatch

scholarly journals Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

2020 ◽  
Vol 18 (1) ◽  
pp. 70-79 ◽  
Author(s):  
Namarta Chopra ◽  
Yadwinder Brar ◽  
Jaspreet Dhillon
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Search Method ◽  
Economic Power ◽  
Fuel Cost ◽  
Swarm Optimization ◽  
Power Dispatch ◽  
Simplex Search ◽  
Simplex Search Method ◽  
Economic Power Dispatch

This paper presents the solution of economic power dispatch (EPD) in thermal power plants using the hybridization of particle swarm optimization (PSO) and simplex search method (SSM). EPD is obtaining the best generating schedule to supply the power demand and covering the transmission losses with minimum overall fuel cost. Physical constraints like valve point loading effects, ramp rate limits and prohibited operating zones are also included with basic EPD problem to increase the practicability in the problem. As PSO performs well in finding the global best solution and SSM in finding the local best solution, thus their combination improves the overall minimum results obtained for the generation fuel cost objective function. The performance of the proposed methodology is tested on different test systems having categories of small-scale, medium-scale and large-scale power system problems. The results obtained are then compared with other reported methods to show the superiority of the proposed algorithm.

Application of TVAC-PSO for Optimal Taiwan Power Dispatch with Carbon Emission Control

2014 ◽  
Vol 681 ◽  
pp. 270-274
Author(s):  
Whei Min Lin ◽  
Chia Sheng Tu ◽  
Ming Tang Tsai ◽  
Fu Sheng Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Objective Function ◽  
Operating Cost ◽  
Particle Swarm ◽  
Time Varying ◽  
Objective Functions ◽  
Swarm Optimization ◽  
Power Dispatch ◽  
Effectiveness And Efficiency ◽  
Dynamic Economic Dispatch

This paper integrated the Particle Swarm Optimization and time-varying inertia weight model to propose a Time-Varying Acceleration Coefficients in Particle Swarm Optimization (TVAC-PSO) for dealing with the emission-constrained dynamic economic dispatch (ED) problems. The objective function of Taiwan power dispatch with emission considerations includes the sub-objective functions of operating cost and emissions. The objective function of emissions is estimated by IPCC. TVAC-PSO is used to find the objective function under the operational and system’s constraints. The effectiveness and efficiency of the TVAC-PSO are demonstrated by using a simplified Taiwan power system. It can also provide an interactive mechanism to adjust the emission permit.

Sign in / Sign up

Export Citation Format

Share Document