Optimization of deicing sequence of transmission line based on genetic algorithm

2014 ◽  
Author(s):  
Lianhua Zhang ◽  
Changsheng Liu ◽  
Yunyun Xie
Keyword(s):  
Genetic Algorithm ◽  
Transmission Line

scholarly journals Optimal location of unified power flow controller genetic algorithm based

2020 ◽  
Vol 11 (2) ◽  
pp. 886
Author(s):  
Sana Khalid Abdul Hassan ◽  
Firas Mohammed Tuaimah
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Power System ◽  
Transmission Line ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimal Location ◽  
Power Losses

<p>Now-a-days the Flexible AC Transmission Systems (FACTS) technology is very effective in improving the power flow along the transmission lines and makes the power system more flexible and controllable. This paper deals with overload transmission system problems such as (increase the total losses, raise the rate of power generation, and the transmission line may be exposed to shut down when the load demand increase from the thermal limit of transmission line) and how can solve this problem by choosing the optimal location and parameters of Unified Power Flow Controllers (UPFCs). which was specified based on Genetic Algorithm (GA) optimization method, it was utilized to search for optimum FACT parameters setting and location based to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. MATLAB was used for running both the GA program and Newton Raphson method for solving the load flow of the system The proposed approach is examined and tested on IEEE 30-bus system. The practical part has been solved through Power System Simulation for Engineers (PSS\E) software Version 32.0 (The Power System Simulator for Engineering (PSS/E) software created from Siemens PTI to provide a system of computer programs and structured data files designed to handle the basic functions of power system performance simulation work, such as power flow, optimal power flow, fault analysis, dynamic simulations...etc.). The Comparative results between the experimental and practical parts obtained from adopting the UPFC where too close and almost the same under different loading conditions, which are (5%, 10%, 15% and 20%) of the total load. can show that the total active power losses for the system reduce at 69.594% at normal case after add the UPFC device to the system. also the reactive power losses reduce by 75.483% at the same case as well as for the rest of the cases. in the other hand can noted the system will not have any overload lines after add UPFC to the system with suitable parameters.</p>

A 3-bit load-pulling digital power amplifier

2020 ◽  
pp. 1-11
Author(s):  
Gavin T. Watkins
Keyword(s):  
Genetic Algorithm ◽  
Radio Frequency ◽  
Transmission Line ◽  
Power Amplifier ◽  
Gate Bias ◽  
Step Size ◽  
Rf Amplifiers ◽  
Load Pull

Abstract A radio frequency (RF) 3-bit digital power amplifier (DPA) is described in this paper. It consists of three RF amplifiers connected at their outputs with a transmission line (TL) network. The three amplifiers are designed for different output powers (POUT). The TL network allows them to load-pull one other to achieve eight different amplitude states by alternatively enabling and disabling the amplifiers via their gate bias. A prototype was designed in the National Instruments' Microwave Office (MWO) for 500 MHz with the aid of a genetic algorithm to optimize the TL network for all seven active (on-) states. The optimizer efficiencies goals were based on data derived from load-pull simulation. The POUT goals were based on a 1 Vrms step-size. In simulation, ≥50% efficiency was achieved at all on-states with 29.7 dBm peak POUT. A practical prototype based on the simulation achieved an efficiency of ≥40% over all seven on-states. A peak POUT of 28.9 dBm was achieved, with the lowest state at 22.4 dBm.

scholarly journals Optimalisasi Penempatan UPFC Pada Sistem Jawa Bali 500kv Menggunakan Algoritma Genetika

2018 ◽  
Vol 2 (1) ◽  
pp. 42-47
Author(s):  
Danu Firmansyah ◽  
Istiyo Winarno
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Transmission Line ◽  
Power Flow ◽  
Reactive Power ◽  
Total Loss ◽  
Electrical Transmission ◽  
Channel Power ◽  
Power Injection ◽  
Genetic Algorithm Method

The transmission network is an important part of the power system to deliver electrical energy from the power  plant to the load, therefore the power system must be maximized to achieve optimal power flow, Unified Power Flow Control (UPFC) is one of the Flexible AC Transmission System (FACTS ) capable of controlling the power of the transmission line separately on electrical transmission and can be mounted on both the sender and the receiving end of the power. The UPFC power injection model to the transmission line is made in a power flow equation. In the Java Bali (Jali) 500 kV system analyzed by the Genetic Algorithm method, to produce a power injection  that  minimizes  the  active  and  reactive power losses of the transmission line without exceeding the UPFC device limit. In the Java Bali (Jali) 500 kV system analyzed by Genetic Algorithm method, the optimum UPFC value of Reactive Power injected  to  the  system for  bus  39  is  9695.593207MVar, bus 15 is 10598.78754 MVar, and on bus 37 is10755.88608 MVar. The total loss of channel power on  the  system  prior  to  installation  of  UPFC  is1815.775809 MW, while the total loss of channel power in the system after installing UPFC with GA is1537.391648 MW.

Study on Pitch Diameter Ratio Optimization of Transmission Line Basised on Genetic Algorithm

2013 ◽  
Vol 316-317 ◽  
pp. 185-189
Author(s):  
Xin Ze Zhao ◽  
Shao Qing Zhang ◽  
Zhi Cheng Yang ◽  
Zhen Xing Yang ◽  
Mei Yun Zhao
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Transmission Line ◽  
Theoretical Basis ◽  
Diameter Ratio ◽  
Upper Limit ◽  
Research Findings ◽  
The Wire ◽  
The Mathematical Model ◽  
Ratio Optimization

The mathematical model of relation betwteen pitch diameter and stress of the wire has been builded by analysing stress distribution among layers of transmission line, genetic algorithm has been used to optimize the wire pitch diameter ratio. The optimization results show that: when the pitch diameter of the wire be equaled to the upper limit, the contact stress between the layers reaches a minimum. Research findings can provide a certain theoretical basis on the desigen of the wire, antifriction, reduce line losses and an extension of lifetime, it has a higher value in engineering

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