Mathematical modeling of electric power flow and the minimization of power losses on transmission lines

2014 ◽  
Vol 241 ◽  
pp. 214-221 ◽  
Author(s):  
O.M. Bamigbola ◽  
M.M. Ali ◽  
M.O. Oke
Keyword(s):  
Mathematical Modeling ◽  
Electric Power ◽  
Transmission Lines ◽  
Power Flow ◽  
Power Losses

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>

scholarly journals Optimal setting of interline power flow controller in deregulated power systems congestion management by using artificial intelligent controllers

2021 ◽  
Vol 2070 (1) ◽  
pp. 012127
Author(s):  
K Krishna Chaithanya ◽  
G V Nagesh Kumar ◽  
Vempalle Rafi ◽  
B Sravan Kumar
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
System Stability ◽  
Power Losses ◽  
Optimal Tuning ◽  
Gravitational Search ◽  
Flow Controller ◽  
Power Flow Controller

Abstract In electricity market with a deregulation withmany times will become difficult for dispatchingpower, whichis obtained with thepower congestion in transmission lines due to flow of power in buses. To reduce the flow of power in buses and system loss in lines which are heavily loaded, toimproveloadability and system stability for which an Interline Power Flow Controller used. In this article, Disparity Utilization Factor for Line is utilized with the optimal tuning and placement with Gravitational Search Algorithm IPFC hinged transmission lines for power congestion. The rankingof transmission lines by line congestion in terms of relative DLUF. According to the IPFC placementwith the essentialminimum congested, weakline connected to the same bus in the congested distribution network. IPFC optimal Sizing is carried with Gravitational Search Algorithm. The multiobjective function is chosen for parameters tuning of IPFC. A suggested IEEE-30 bus test network is implemented by a graphical representation whichis considered in this study toreduce LUF in transmission lines with IPFC optimal placement. Bothactive power losses and reactive power losses in power systemare necessary to be minimized after every iterationof IPFC optimal tuning. The proposed tuning in this articlegives effectivenesswith the reduction in the values of power system with the objective functions.

Allocation of active power losses to generators in electric power networks

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Adedayo A. Yusuff ◽  
Thapelo C. Mosetlhe ◽  
Temitope Raphael Ayodele
Keyword(s):  
Electric Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Active Power ◽  
Distribution Factor ◽  
Power Losses ◽  
Power Networks ◽  
Electric Power Networks ◽  
Network Losses ◽  
Active Power Losses

Abstract This paper presents a method for allocating active power losses in electric power networks to generators. A technique that uses current distribution factor is used to allocate losses to generator nodes. The core of the allocation scheme is based on graph theory and flows distribution in a network. Losses are only allocated based on the segment of a network that is used for power evacuation. Models of IEEE 14, 39, 57 and 118 test systems in PYPOWER 5.12 were used to test the scheme. It was observed that although the total network losses is minimised when optimal power flow is used for scheduling generation, however that does not translate to minimisation of loss allocation to some generators. The results obtained show that, the scheme can be used to allocate transmission network losses to generation nodes in electric power networks in a fair manner.

scholarly journals Power Losses and Bus Voltage in Transmission Lines of a 28 Bus System

2020 ◽  
Vol 8 (5) ◽  
pp. 5675-5684
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Reactive Power ◽  
Flow Analysis ◽  
Power Losses ◽  
Integrated Network ◽  
Line Outages ◽  
Flexible Alternating Current Transmission ◽  
Bus Voltage

Inadequate supply of power is increasing day by day and causing a lot of problems and affecting various sectors of the country. This work involves the power analysis on the 28-bus network of the Nigeria 330kV integrated power system. The network consists of twenty-eight (28) buses, nine (9) generation stations, and fifty-two (52) transmission lines. Newton-Raphson (N-R) method of power flow analysis was carried out on the network using the relevant data. This analysis was carried out using PSS®E to determine bus voltages, real and reactive power losses of the integrated network. The work also involves carrying out line outages on various parts of the network to determine the effects on power losses and bus voltages. The results show that the following buses were not in line with the statutory limit of 0.95≤Vi≤1.05: bus 13 (New-Heaven), bus 14 (Onitsha), bus 16 (Gombe), bus 19 (Jos), bus 22 (Kano). Bus 16 was observed to not satisfy the limit during the analysis going as low as 0.7602p.u. in one of the line outages (Makurdi-Mambila off). The total losses was also determined and the highest power loss was observed when Makurdi-Mambila line was taken out of service (142.54MW, 1072.16MVAR) and the lowest loss was observed when the double transmission line between Benin-Sapele were both taken out of service(105.0MW, 830.50MVAR). This result concludes that the Nigeria network still needs to undergo changes to ensure sustainable and reliable power system. Compensation is recommended on the above stated weak buses using Flexible Alternating Current Transmission System (FACTS).

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