Economic-Emission load dispatch uses the fuel cost variables and gas emission in a minimized way to obtain an optimal operation in generation units in a power plant, guaranteeing the supply of demand. The first variable is definitive to ensure business continuity and the second to comply with environmental legislation and no degradation of the environment. This paper analyzes the use of a new computational optimization algorithm based on the Cultural Algorithm (CA), improved with local search techniques Simulated Annealing (SA) and Tabu Search (TS), using data from a real power plant with 10 generators and the system of the IEEE with 13 generating units. The application has two options of operation: the classic one, which operates with all generators seeking to minimize the cost and emission meeting the specified demand; and the controlled one, which turns off the generators that have the highest incremental fuel cost but guaranteeing the demand and reducing the emission of gases. Simulations were performed on the six possible options in this application. The results obtained were compared with each other and with the results of other techniques reported in the literature. The local search that improved the CA and the new way of updating topographic knowledge allowed the results to be better than those found by other metaheuristics that solved the same problem of the real plant and the IEEE system.

Industrial production has evolved significantly over the last decade. For this reason, it is necessary to obtain mathematical and computational tools that enable power systems engineers to make decisions that reduce harmonic distortions in accordance with international standards. This paper presents a total harmonic distortion (THD) assessment based on full knowledge discovery in databases (KDD) using power quality (PQ) standards and computational intelligence tools. The materials and methods of THD assessment consist of load and layout analysis; choice and installation of PQ analyzers; and the application of the full KDD process, including collection, selection, cleaning, integration, transformation and reduction, mining, interpretation and evaluation of the data. This research methodology was used in an electrical and electronic industry; the results obtained have characteristics that can be used as a reference for other types of analyses. The results indicate that these methods can be applied to several industrial applications such as (1) the description of the complete KDD process for THD assessment of the point of common coupling (PCC); (2) simultaneous collection using five PQ analyzers at several points in the electrical network; and (3) the use of a decision tree classifier.

Qualis indexed Engineering Journal and Science Journal to publish paper with DOI, NAAS Rating and journal has global recognized indexing Open Access International Journal

A problem that is much studied today is the economic emission load dispatch (EELD) that seeks to minimize the total cost of fuel consumption and carbon emission. This problem is different from the economic load dispatch (ELD) that only seeks to minimize costs. In this work is applied a new optimization tool to solve this problem, the ant lion optimizer (ALO). Two functions are being used in this multi-objective metaheuristic algorithm, the cost function and emission function with their respective restrictions. Many materials and methods have been elaborated to fix the economic emission load dispatch, among them are as follows: differential evolution method, gradient method and Newton’s method. The results for this case study, with the two application of ant lion, one with all generators on and another with the less efficient generators turned off, and in both cases the demand being met, were outstanding having a reduction of 9.21% in the total fuel cost, comparing to classical methods that distribute the generation of power among all generators, including the least efficient ones. This method helps the plant operators in the decision making of preventive maintenance of machines that are not working in. Besides solving the problem of the EELD this work also takes into account the shutdown of less efficient generators to meet the demand.

Qualis indexed Engineering Journal and Science Journal to publish paper with DOI, NAAS Rating and journal has global recognized indexing Open Access International Journal