Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems

Abstract

In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses (Ploss, MW) and voltage deviation (VD). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.

Design of Morlet Wavelet Neural Network for Solving a Class of Singular Pantograph Nonlinear Differential Models

“…So MWNN is the best choice to solve such complicated models using the global and local search terminologies GAIPA. In future, MWNN-GAIPA can be implemented to solve the fluid dynamic nonlinear systems, biological nonlinear systems, singular higher order differential systems, fractional processing, direction of arrival estimation, power and eneggy systems [53][54][55][56][57][58][59][60][61][62].…”

Application of Shannon Entropy Implementation Into a Novel Fractional Particle Swarm Optimization Gravitational Search Algorithm (FPSOGSA) for Optimal Reactive Power Dispatch Problem

“…The consideration of the control variables in the first scenario is 13 and it contains six generators connected at the buses 2, 5, 8, 11 and 13 while the slack bus is connected at bus 1, the range of the generators (Vgt) are between [0. for the current scenario is set in per unit as S = P + jQ = 2.832+ j1.262 pu [78].…”

“…The Table II disclosed the optimal outcomes from the different algorithms such as; HSA [67], DE [65], R-DE [28], MFO [28], GWO [68], FODPSO-EE [66], FPSOGSA [78] are compared to the proposed FPSOGSA-Entropy algorithm for optimal reactive power dispatch problem. The reduction in power line losses % are given in Table III The Fig.…”

Improved Newton Iterative Algorithm for Fractal Art Graphic Design

“…e factors affecting the generation of Newton iterative graphics mainly include the type of the iterative function and the value of the parameters p and q and the selected Newton iterative graphics part in the design of fractal art graphics. 6 Complexity rough experiments and analysis and summary, some regular trends of Newton iterative graph changes can be grasped, and Newton iterative graphs with special texture effects can be generated.…”

“…In foreign countries, the research on fractal art is mainly based on scientists, and artists' attention to this field is not very common [5]. e research of fractal art has always had its own system and development history, which is particularly prominent in design education [6]. Reason education has been mentioned in art education for a long time, and geometry is even regarded as one of the foundations of art design teaching [7].…”