Particle swarm optimization in image processing of power flow learning distribution

نویسندگان

چکیده

Abstract In order to realize the coordination and integration optimization of power system itself, this paper constructed mathematical model hybrid solved multi-objective problem heating through optimized particle swarm algorithm. Based on back-to-back VSC-HVDC grid-connected composite system, studied integrated control strategy device achieve simultaneous parallel tie line currents. At same time, simplified improved proposed disassembly criteria for devices them into device. addition, basis, three functions de-listing, juxtaposition adjustment was further studied. Simulation studies show that algorithm has certain effects can provide theoretical reference subsequent related research.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Power Flow Using Particle Swarm Optimization

The Optimal Power Flow (OPF) is an important criterion in today’s power system operation and control due to scarcity of energy resources, increasing power generation cost and ever growing demand for electric energy. As the size of the power system increases, load may be varying. The generators should share the total demand plus losses among themselves. The sharing should be based on the fuel co...

متن کامل

Optimal Power Flow Using Particle Swarm Optimization

This paper proposes the application of Particle Swarm Optimization (PSO) technique to solve Optimal Power Flow with inequality constraints on Line Flow. To ensure secured operation of power system, it is necessary to keep the line flow within the prescribed MVA limit so that the system operates in normal state. The problem involves non-linear objective function and constraints. Therefore, the p...

متن کامل

Particle Swarm Optimization for Hydraulic Analysis of Water Distribution Systems

The analysis of flow in water-distribution networks with several pumps by the Content Model may be turned into a non-convex optimization uncertain problem with multiple solutions. Newton-based methods such as GGA are not able to capture a global optimum in these situations. On the other hand, evolutionary methods designed to use the population of individuals may find a global solution even for ...

متن کامل

Learning in Particle Swarm Optimization

This paper presents particle swarm optimization based on learning from winner particle. (PSO-WS). Instead of considering gbest and pbest particle for position update, each particle considers its distance from immediate winner to update its position. Only winner particle follow general velocity and position update equation. If this strategy performs well for the particle, then that particle upda...

متن کامل

Hybrid Particle Swarm Optimization Technique For Optimal Power Flow

The Optimal Power Flow (OPF) plays an important role in power system operation and control due to depleting energy resources, and increasing power generation cost and ever growing demand for electric energy. As the size of the power system increases, load may be varying. The generators should share the total demand plus losses among themselves. The sharing should be based on the fuel cost of th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Discover Internet of things

سال: 2021

ISSN: ['2730-7239']

DOI: https://doi.org/10.1007/s43926-021-00012-9