An emission constraint Economic Load Dispatch problem solution with Microgrid using JAYA algorithm

2016 ◽  
Author(s):  
Motilal Bhoye ◽  
M. H. Pandya ◽  
Sagar Valvi ◽  
Indrajit N. Trivedi ◽  
Pradeep Jangir ◽  
...  
Keyword(s):  
Economic Load Dispatch ◽  
Problem Solution ◽  
Jaya Algorithm

Optimal Solution to Economic Load Dispatch by Modified Jaya Algorithm

2021 ◽  
Author(s):  
B Suresh Kumar ◽  
Ashish Kumar Rastogi ◽  
B Rajani ◽  
Abolfazl Mehbodniya ◽  
K Karunanithi ◽  
...  
Keyword(s):  
Optimal Solution ◽  
Economic Load Dispatch ◽  
Jaya Algorithm

scholarly journals Jaya Algorithm With Self-Adaptive Multi-Population and Lévy Flights for Solving Economic Load Dispatch Problems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 21372-21384 ◽  
Author(s):  
Jiang-tao Yu ◽  
Chang-Hwan Kim ◽  
Abdul Wadood ◽  
Tahir Khurshaid ◽  
Sang-Bong Rhee
Keyword(s):  
Economic Load Dispatch ◽  
Jaya Algorithm ◽  
Lévy Flights ◽  
Levy Flights ◽  
Self Adaptive

scholarly journals Noninferior Solution Grey Wolf Optimizer with an Independent Local Search Mechanism for Solving Economic Load Dispatch Problems

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2274 ◽  
Author(s):  
Jianzhong Xu ◽  
Fu Yan ◽  
Kumchol Yun ◽  
Lifei Su ◽  
Fengshu Li ◽  
...  
Keyword(s):  
Power Systems ◽  
Local Search ◽  
Optimization Problem ◽  
Search Strategy ◽  
Local Optimum ◽  
Economic Load Dispatch ◽  
Problem Solution ◽  
Main Task ◽  
Grey Wolf ◽  
Local Search Strategy

The economic load dispatch (ELD) problem is a complex optimization problem in power systems. The main task for this optimization problem is to minimize the total fuel cost of generators while also meeting the conditional constraints of valve-point loading effects, prohibited operating zones, and nonsmooth cost functions. In this paper, a novel grey wolf optimization (GWO), abbreviated as NGWO, is proposed to solve the ELD problem by introducing an independent local search strategy and a noninferior solution neighborhood independent local search technique to the original GWO algorithm to achieve the best problem solution. A local search strategy is added to the standard GWO algorithm in the NGWO, which is called GWOI, to search the local neighborhood of the global optimal point in depth and to guarantee a better candidate. In addition, a noninferior solution neighborhood independent local search method is introduced into the GWOI algorithm to find a better solution in the noninferior solution neighborhood and ensure the high probability of jumping out of the local optimum. The feasibility of the proposed NGWO method is verified on five different power systems, and it is compared with other selected methods in terms of the solution quality, convergence rate, and robustness. The compared experimental results indicate that the proposed NGWO method can efficiently solve ELD problems with higher-quality solutions.

An economic load dispatch and multiple environmental dispatch problem solution with microgrids using interior search algorithm

2016 ◽  
Vol 30 (7) ◽  
pp. 2173-2189 ◽  
Author(s):  
Indrajit N. Trivedi ◽  
Pradeep Jangir ◽  
Motilal Bhoye ◽  
Narottam Jangir
Keyword(s):  
Search Algorithm ◽  
Economic Load Dispatch ◽  
Problem Solution

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.

In Search of Somatic Precursors of Spontaneous Insight

2018 ◽  
Vol 32 (3) ◽  
pp. 97-105 ◽  
Author(s):  
Wangbing Shen ◽  
Yuan Yuan ◽  
Chaoying Tang ◽  
Chunhua Shi ◽  
Chang Liu ◽  
...  
Keyword(s):  
Problem Solving ◽  
Direct Evidence ◽  
Electrodermal Activity ◽  
Cardiovascular Responses ◽  
Solution Time ◽  
Problem Solution ◽  
Insight Problem ◽  
Creative Insight ◽  
Insight Problem Solving ◽  
Analytic Problem

Abstract. A considerable number of behavioral and neuroscientific studies on insight problem solving have revealed behavioral and neural correlates of the dynamic insight process; however, somatic correlates, particularly somatic precursors of creative insight, remain undetermined. To characterize the somatic precursor of spontaneous insight, 22 healthy volunteers were recruited to solve the compound remote associate (CRA) task in which a problem can be solved by either an insight or an analytic strategy. The participants’ peripheral nervous activities, particularly electrodermal and cardiovascular responses, were continuously monitored and separately measured. The results revealed a greater skin conductance magnitude for insight trials than for non-insight trials in the 4-s time span prior to problem solutions and two marginally significant correlations between pre-solution heart rate variability (HRV) and the solution time of insight trials. Our findings provide the first direct evidence that spontaneous insight in problem solving is a somatically peculiar process that is distinct from the stepwise process of analytic problem solving and can be represented by a special somatic precursor, which is a stronger pre-solution electrodermal activity and a correlation between problem solution time and certain HRV indicators such as the root mean square successive difference (RMSSD).

Sign in / Sign up

Export Citation Format

Share Document