Voltage Security Operation Region Calculation Based on Improved Particle Swarm Optimization and Recursive Least Square Hybrid Algorithm
نویسندگان
چکیده
Large-scale voltage collapse incidences, which result in power outages over large regions and extensive economic losses, are presently common occurrences worldwide. To avoid operate more safely reliably, it is necessary to analyze the security operation region (VSOR) of systems, has become a topic increasing interest lately. In this paper, novel improved particle swarm optimization recursive least square (IPSO-RLS) hybrid algorithm proposed determine VSOR system. Also, stability analysis on carried out by analyzing errors convergence accuracy obtained results. Firstly, VSOR-surface system analyzed paper. Secondly, two algorithms, namely IPSO RLS studied individually. Based understanding, IPSO-RLS optimize active reactive power, allowed identify accurately. Finally, validated using simulation case study three wind farm actual Hami Power Grid China DIgSILENT/PowerFactory software. The error results compared with those (PSO), algorithms.
منابع مشابه
Improved Binary Particle Swarm Optimization Based TNEP Considering Network Losses, Voltage Level, and Uncertainty in Demand
Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP pr...
متن کاملOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
متن کاملVoltage control strategy based on immune particle swarm optimization algorithm
As a new swarm intelligence algorithm after Ant Colony Algorithm (ACA), Immune Particle Swarm Optimization (IPSO) is currently an important branch of evolutionary algorithm. Its basic idea is influenced and inspired by research results of their modeling and simulation of behaviors of swarms of birds in earlier periods. And their model and simulation algorithm mainly took use of biologist Frallk...
متن کاملMicrogrid Economic Operation Research Based on Improved Particle Swarm Optimization Algorithm
This paper presents a new optimization approach for solving the economic operation with consideration of wind, solar, micro-turbine, fuel cells, battery and load in an energy system. Mathematical models of each micro source and the system model of the microgrid economic operation are established, and the system model is solved by improved particle swarm optimization (PSO) algorithm. The best ou...
متن کاملAn Improved Particle Swarm Optimization Algorithm based on Membrane Structure
Presented a new hybrid particle swarm algorithm based on P systems, through analyzing the working principle and improved strategy of the elementary particle swarm algorithm. Used the particles algorithm combined with the membrane to form a community, particles use wheel-type structure to communicate the current best particle within the community. The best particles, as Representative, compete f...
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: Journal of modern power systems and clean energy
سال: 2021
ISSN: ['2196-5420', '2196-5625']
DOI: https://doi.org/10.35833/mpce.2019.000123