Hybrid Evolutionary Algorithm Using Optimal Placement of FACTS Devices for Total Transfer Capability
نویسندگان
چکیده
منابع مشابه
Optimal allocation of multi-type FACTS Controllers by using hybrid PSO for Total Transfer Capability Enhancement
In this paper, the new hybrid particle swarm optimization (hybrid-PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is developed. Hybrid-PSO is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between g...
متن کاملOptimal placement and sizing of distributed generation considering FACTS devices and load uncertainty using hybrid sine-cosine algorithm and particle swarm optimization (HSCA-PSO)
Using Distributed Generation (DG) in electrical distribution networks brings many advantages and thus, optimal placement and sizing of these units become important. Most of the researches in this field neglect the effect of transmission system on distribution section. These researches also ignore the effect of Flexible Alternating Current Transmission Systems (FACTS). This thesis proposes a new...
متن کاملPlacement of shunt FACTS Devices for maximum power transfer capability in a Series Compensated LT Line
Maximum power transfer capability in the transmission line is the utmost important consideration in power systems. VAR Compensator (SVC) and Static Synchronous Compensator (STATCOM) are important devices in FACTS family, and is widely recognized as an effective and economical means to solve the power system stability problem. SVC and STATCOM are used as shunt in transmission system. In the pres...
متن کاملFACTS Devices Allocation Using a Novel Dedicated Improved PSO for Optimal Operation of Power System
Flexible AC Transmission Systems (FACTS) controllers with its ability to directly control the power flow can offer great opportunities in modern power system, allowing better and safer operation of transmission network. In this paper, in order to find type, size and location of FACTS devices in a power system a Dedicated Improved Particle Swarm Optimization (DIPSO) algorithm is developed for de...
متن کاملSolving Multi-objective Optimal Control Problems of chemical processes using Hybrid Evolutionary Algorithm
Evolutionary algorithms have been recognized to be suitable for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier. This paper applies an evolutionary optimization scheme, inspired by Multi-objective Invasive Weed Optimization (MOIWO) and Non-dominated Sorting (NS) strategi...
متن کاملذخیره 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: Mediterranean Journal of Basic and Applied Sciences
سال: 2020
ISSN: 2581-5059
DOI: 10.46382/mjbas.2020.4208