Economic Load Dispatch Using MRPSO with Generator Ramp Rate Limits Constraint

2012 ◽  
Author(s):  
Nagendra Singh ◽  
Yogendra Kumar
Keyword(s):  
Economic Load Dispatch ◽  
Ramp Rate ◽  
Ramp Rate Limits

scholarly journals A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1946 ◽  
Author(s):  
Jiangtao Yu ◽  
Chang-Hwan Kim ◽  
Abdul Wadood ◽  
Tahir Khurshiad ◽  
Sang-Bong Rhee
Keyword(s):  
Total Population ◽  
Population Based ◽  
Economic Load Dispatch ◽  
Jaya Algorithm ◽  
Ramp Rate ◽  
Promising Alternative ◽  
Capacity Limits ◽  
Alternative Approach ◽  
Global Optima ◽  
Ramp Rate Limits

The economic load dispatch (ELD) problem is an optimization problem of minimizing the total fuel cost of generators while satisfying power balance constraints, operating capacity limits, ramp-rate limits and prohibited operating zones. In this paper, a novel multi-population based chaotic JAYA algorithm (MP-CJAYA) is proposed to solve the ELD problem by applying the multi-population method (MP) and chaotic optimization algorithm (COA) on the original JAYA algorithm to guarantee the best solution of the problem. MP-CJAYA is a modified version where the total population is divided into a certain number of sub-populations to control the exploration and exploitation rates, at the same time a chaos perturbation is implemented on each sub-population during every iteration to keep on searching for the global optima. The proposed MP-CJAYA has been adopted to ELD cases and the results obtained have been compared with other well-known algorithms reported in the literature. The comparisons have indicated that MP-CJAYA outperforms all the other algorithms, achieving the best performance in all the cases, which indicates that MP-CJAYA is a promising alternative approach for solving ELD problems.

scholarly journals Economic Dispatch Solution Using Moth-Flame Optimization Algorithm

2018 ◽  
Vol 214 ◽  
pp. 03007 ◽  
Author(s):  
Mohd Herwan Sulaiman ◽  
Zuriani Mustaffa ◽  
Muhammad Ikram Mohd Rashid ◽  
Hamdan Daniyal
Keyword(s):  
Optimization Technique ◽  
Economic Dispatch ◽  
Minimum Cost ◽  
Ramp Rate ◽  
Total Cost ◽  
Prohibited Operating Zones ◽  
Operating Limits ◽  
Moth Flame Optimization Algorithm ◽  
Ramp Rate Limits ◽  
Practical Constraints

This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ramp rate limits, prohibited operating zones and generators operating limits. To show the effectiveness of proposed algorithm, two case systems are used: 6-units and 15-units systems and then the performance of MFO is compared with other techniques from literature. The results show that MFO is able to obtain less total cost than those other algorithms.

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 Load Dispatch Problem with Ramp Rate Limit Using BBO

2012 ◽  
pp. 419-424 ◽  
Author(s):  
Neetu Agrawal ◽  
Shilpy Agrawal ◽  
K. K. Swarnkar ◽  
S. Wadhwani ◽  
A. K. Wadhwani
Keyword(s):  
Economic Load Dispatch ◽  
Ramp Rate ◽  
Rate Limit
Sign in / Sign up

Export Citation Format

Share Document