h-pso-scac algorithm

Demand-side management is one of the ways to create interaction between the microgrid and increase consumer participation in management schemes. Different algorithms and strategies have been used to execute consumption management programs that often covering a limited number of loads in several specific types. In this paper, first, the load shift method as an optimization problem to reduce system demand peak and subscriber bills for various loads in smart microgrid is solved by (H-PSO-SCAC) algorithm, then the effect of the proposed program on the generation and presence of microgrid in market for improving the level of social welfare is aimed. The results are performed on a smart grid consisting of three Residential, commercial and industrial microgrids that including different types of controllable loads. The results show that the proposed program can reduce peak load, reduce subscriber bills, save production costs, help balance supply and demand, and improve the level of social welfare from the perspective of the distribution system operator.

Power switches are among the equipment that can help improve the distribution system condition and reduce the cost of failure at times of error. Finding the optimal location and number of these switches in the distribution system can be modeled with a variety of objective functions as a nonlinear optimization problem to improve reliability, reduce energy not supplied and other system costs. In this paper, a Hybrid Particle Swarm Optimization with Sinusoidal and Cosine Acceleration Coefficients (H-PSO-SCAC) is used to solve the problem of optimal placement of switches with the goal of reducing the cost of switches installation and outage simultaneously in a software format for the use of Malayer Distribution Company operators and other sections. The simulation results have been tested using the corresponding algorithm on the Malayer 108-bus distribution feeder and IEEE 118-bus sampling network and compared with the results of other methods. The results show that the algorithm (H-PSO-SCAC) is better than other algorithms in terms of response quality and computational efficiency, also its implementation in a user friendly software has made it easy for operators and Users to use.

Distribution economic burden in power system is one of the important and essential issues in power plant production planning. This thesis presents the economic burden for generating power plants with smooth and uneven functions and considering the constraints of the power plant (steam valve, forbidden areas, with and without transmission losses) in a multi-generator power system. The goal is to achieve the best production cost and minimize losses. For this purpose, a hybrid particle swarm algorithm based on sine and cosine acceleration coefficients is used to solve the problem. A comprehensive analysis of how to distribute the economic burden to optimize production costs and minimize losses is provided. The proposed method is implemented on a power system of 15and 40 IEEE standard generators. The constructs illustrate the accuracy and efficiency of the proposed method.