Optimal scheduling power generations using HSABC algorithm considered a new penalty factor approach

Abstract

Scheduling power generations are very important in power system operations to meet various combinations of generating units for providing electric energy in order to operate more economically for supplying power demands. This strategy is able to cover using a combined economic and emission dispatch (CEED) considered pollutant emission and fuel consumption aspects under operational constraints for optimizing the total operating cost. The pollutant production is embedded in the CEED using a penalty factor to become the same priority cost function. This paper introduces a new penalty factor approach for combining emission and economic dispatches solved using the latest intelligent computation. Results obtained on IEEE-62 bus system show different performances of previous and new penalty factor approaches. Moreover, the CEED is carried out in the similar result for the total power output. The time consumption, operating cost, and speed of the new approach are less than one others while obtaining the optimal solution.

Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem

“…Many methods have been introduced to attempt the natural phenomenon for creating various evolutionary algorithms and it has been successful applied to the optimization problems [2], [3], [4], [8], [10], [14], [15]. Specifically, for the last ten years, the most popular of evolutionary algorithms is GA inspired by a phenomenon of the natural evolution.…”

“…Technically, this operation should be provided in reasonable budgets for all processes in 24 hours of the operating period forced in environmental requirements [14]. Recently, the environment protection is considered in the PSO to reduce pollutant productions at thermal power plants discharged in various particles and gasses, like CO, CO 2 , SO x and NO x [2], [3], [12], [14], [15], [18]. To cover these problems, the PSO considers financial and environmental aspects for searching the balance decision between emission dispatch and economic dispatch with its different orientation troughout the EDED formulation as single objective function for determining the optimal solution and plotting a committed schedule of generating unit outputs.…”

“…The second step is an algorithm composition for both evolutionary methods constructed by its parameters. The third step is programming developments for all computing processes associated with references for the tested algorithms [3], [5], [10], [14], [15]. In these simulations, operational constraints are also used to put desired solutions in the feasible ranges of the PSO.…”

“…Technically, this operation should be provided in reasonable budgets for all processes in 24 hours of the operating period forced in environmental requirements [14]. Recently, the environment protection is considered in the PSO to reduce pollutant productions at thermal power plants discharged in various particles and gasses, like CO, CO 2 , SO x and NO x [2], [3], [12], [14], [15], [18].…”

“…Each food source is located randomly at a certain position using a harvest operator [13], [17]. In principle, the sequencing computation of HSABC algorithm is distributed into several processes to select the optimal solution as following orders as adopted in these studies [5], [14]:  Generating population: create initial population sets, evaluate initial population sets, and define the population.  Food source exploration: produce the first food source, produce the other food sources, evaluate the multiple food sources, apply the greedy process, and calculate the probability value.…”