A New Heuristic Algorithm for Economic Load Dispatch Incorporating Wind Power

2021 ◽  
pp. 47-65
Author(s):  
N. Karthik ◽  
A. K. Parvathy ◽  
R. Arul ◽  
K. Padmanathan
Keyword(s):  
Wind Power ◽  
Heuristic Algorithm ◽  
Economic Load Dispatch

Economic Load Dispatch Incorporating Wind Power Using Hybrid Biogeography-Based Optimization

2021 ◽  
Vol 12 (3) ◽  
pp. 54-80
Author(s):  
Bikram Saha ◽  
Provas Kumar Roy ◽  
Barun Mandal
Keyword(s):  
Wind Power ◽  
Optimization Algorithm ◽  
Special Kind ◽  
Economic Load Dispatch ◽  
Operational Cost ◽  
Renewable Sources ◽  
Salp Swarm Algorithm ◽  
Test Systems ◽  
Recommended Algorithm ◽  
Swarming Behaviour

This article represents salp swarm algorithm (SSA) for the most favourable operating solution of economic load dispatch (ELD). For making the convergence first along with SSA, another optimization algorithm (i.e., BBO [biogeography;based optimization]) is also used. For lowering the operational cost, wind power is employed with thermal units. SSA is inspired by swarming behaviour of salp, which belongs to salpiside family. Salp possess a special kind of swarm while hunting for food and navigating. The recommended algorithm is executed on two systems of SIX units and 40 units. In both of the cases, load dispatch problem is carried out with renewable sources and also without renewable sources. Individually, BBO, SSA, and hybrid BBO-SSA are applied to all the test systems to justify effectiveness of hybrid BBO-SSA. Obtained results assure the prospective and advantages of recommended algorithm in contrast to algorithms mentioned in the article. Results come out to be very satisfying and reveal that hybrid BBO-SSA is a powerful algorithm to solve ELD problems.

Economic Load Dispatch With Multiple Fuel Options and Valve Point Effect Using Cuckoo Search Algorithm With Different Distributions

2020 ◽  
Vol 9 (3) ◽  
pp. 24-38
Author(s):  
Cuong Dinh Tran ◽  
Tam Thanh Dao ◽  
Ve Song Vo
Keyword(s):  
Random Walk ◽  
Heuristic Algorithm ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Cauchy Distribution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Natural Phenomenon ◽  
Economic Load Dispatch ◽  
Valve Point Effect

The cuckoo search algorithm (CSA), a new meta-heuristic algorithm based on natural phenomenon of the cuckoo species and Lévy flights random walk has been widely and successfully applied to several optimization problems so far. In the article, two modified versions of CSA, where new solutions are generated using two distributions including Gaussian and Cauchy distributions in addition to imposing bound by best solutions mechanisms are proposed for solving economic load dispatch (ELD) problems with multiple fuel options. The advantages of CSA with Gaussian distribution (CSA-Gauss) and CSA with Cauchy distribution (CSA-Cauchy) over CSA with Lévy distribution and other meta-heuristic are fewer parameters. The proposed CSA methods are tested on two systems with several load cases and obtained results are compared to other methods. The result comparisons have shown that the proposed methods are highly effective for solving ELD problem with multiple fuel options and/nor valve point effect.

Improved time varying inertia weight PSO for solved economic load dispatch with subsidies and wind power effects

Complexity ◽  
2014 ◽  
Vol 21 (4) ◽  
pp. 40-49 ◽  
Author(s):  
Oveis Abedinia ◽  
Ali Ghasemi ◽  
Nasser Ojaroudi
Keyword(s):  
Wind Power ◽  
Economic Load Dispatch ◽  
Time Varying ◽  
Inertia Weight

scholarly journals Artificial bee colony algorithm for economic load dispatch with wind power energy

2016 ◽  
Vol 13 (3) ◽  
pp. 347-360 ◽  
Author(s):  
Amin Safari ◽  
Davoud Sheibai
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Artificial Bee Colony ◽  
Economic Load Dispatch ◽  
Power Networks ◽  
Power Generator ◽  
Bee Colony ◽  
Wind Power Generator

This paper presents an efficient Artificial Bee Colony (ABC) algorithm for solving large scale economic load dispatch (ELD) problems in power networks. To realize the ELD, the valve-point loading effect, system load demand, power losses, ramp rate limits and prohibited operation zones are considered here. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with two forms of power systems, one power system is with a wind power generator and other power system is without a wind power generator. The results of this study reveal that the proposed approach is able to find appreciable ELD solutions than those of previous algorithms.

Research on SVM Wind Power Prediction Based on Heuristic Algorithm

2013 ◽  
Vol 333-335 ◽  
pp. 1233-1238
Author(s):  
Jing Wang ◽  
Yu Zhang ◽  
Kun Xia ◽  
Qiang Qiang Wang
Keyword(s):  
Wind Power ◽  
Heuristic Algorithm ◽  
Prediction Accuracy ◽  
Heuristic Algorithms ◽  
Support Vector ◽  
Search Efficiency ◽  
Power Prediction ◽  
Wind Power Prediction ◽  
Svm Model

With the disadvantages of volatility, intermittent and randomness of wind power, a research on constructing a fairly accurate prediction model is imperative to improve the quality of power system. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a HA-SVM model is constructed.Case study shows that, compared with other heuristic algorithms, the search efficiency and speed of differential evolution are good, and the prediction accuracy of the model is high.

A new flexibility based probabilistic economic load dispatch solution incorporating wind power

2022 ◽  
Vol 135 ◽  
pp. 107546
Author(s):  
Homayoun Berahmandpour ◽  
Shahram Montaser Kouhsari ◽  
Hassan Rastegar
Keyword(s):  
Wind Power ◽  
Economic Load Dispatch
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