scholarly journals LP based solution for Security Constrained Optimal Power Flow including Power Routers

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Flow Analysis ◽  
Time Frame ◽  
Electrical Power System ◽  
Piecewise Linearization ◽  
Dc Power ◽  
Optimal Power

Power Routers offers many benefits to the power system, it helps in improving the existing transmission asset utilization. Security Constrained Optimal Power Flow (SCOPF) is becoming more important in the electrical power system especially in the present deregulated environment. This paper focuses on completely linearizing the complex non-linear SCOPF problem. The objective function is linearized using Piecewise linearization technique and the constraints are framed using linear sensitivity factors. A formal extension is made to the traditional SCOPF by including power router control in the post contingency time frame. DC power flow analysis is used to calculate the real power flow in the lines.Thus, in this paper, further minimization of cost is achieved by using Power Router control and it is compared with the conventional SCOPF.

Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation

2013 ◽  
Vol 278-280 ◽  
pp. 1314-1317
Author(s):  
Li Xiao
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Point System ◽  
Electrical Power System ◽  
Optimal Power ◽  
System Optimal ◽  
Comprehensive Search ◽  
Introduction Vector

Proposed one kind of improvement artificial immunization algorithm calculates the electrical power system most superior tidal current, this algorithm maintained the basic immunity algorithm comprehensive search ability, also the concept which is apart from through the introduction vector causes the immunity algorithm theoretically to guarantee the understanding the multiplicity. Through the IEEE-30pitch point system computed result indicated this algorithm is feasible. And so on compares with the heredity algorithm, this algorithm overall situation search ability strong, the convergence rate is quick.

scholarly journals HEURISTIC METHODE FOR OPTIMIZING POWER LOAD FLOW ANALYSIS IN ELECTRICAL POWER SYSTEM

2010 ◽  
Vol 13 (2) ◽  
pp. 36-45
Author(s):  
Anh Huy Quyen ◽  
Anh Viet Truong ◽  
Huong Thi Thanh Vi
Keyword(s):  
Power System ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Flow Analysis ◽  
Load Flow ◽  
Electrical Power System ◽  
Large Power ◽  
Load Flow Analysis ◽  
Optimal Power ◽  
Power Load

The primary goal of a generic optimal power load flow problem Is minimizing total fuel costs of generating units in an electrical power system while maintaining the security of the system. This paper presents an algorithm for optimizing power load flow analysis through the application of Newton ’s method and attends to interchange power between the different power systems. Specifically, it will explore the implementation of data structure such as the binary tree in searching OPF variables (controls, states, constraints) in large power system. So the OPF solution is quickly converging. The primary goal of a generic OFF has been tested by simulation method for 6- bus system in Power World environment. The optimal power flow results is shown that total generation fuel cost in the interchange power case is less expensive than in no interchange power case as well as total transmission losses in the power system are smaller.

scholarly journals (DA-DOPF): A Day-Ahead Dynamic Optimal Power Flow With Renewable Energy Integration in Smart Grids

2021 ◽  
Vol 9 ◽  
Author(s):  
Muhammad Arsalan Ilyas ◽  
Thamer Alquthami ◽  
Muhammad Awais ◽  
Ahmad H. Milyani ◽  
Muhammad Babar Rasheed
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Smart Grids ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Analysis ◽  
Control Variable ◽  
Constraint Handling ◽  
Optimal Power ◽  
Artificial Neural

The performance of a power system can be measured and evaluated by its power flow analysis. Along with the penetration of renewable energies such as wind and solar, the power flow problem has become a complex optimization problem. In addition to this, constraint handling is another challenging task of this problem. The main critical problem of this dynamic power system having such variable energy sources is the intermittency of these VESs and complexity of constraint handling for a real-time optimal power flow (RT-OPF) problem. Therefore, optimal scheduling of generation sources with constraint satisfaction is the main goal of this study. Hence, a renewable energy forecasting–based, day-ahead dynamic optimal power flow (DA-DOPF) is presented in this paper with the forecasting of solar and wind patterns by using artificial neural networks. Moreover, contribution factors are calculated using triangular fuzzy membership function (T-FMF) in the sub-interval time slots. Furthermore, the superiority of feasible (SF) solution constraint handling approach is used to avoid the constraint violation of inequality constraints of optimal power flow. The IEEE 30-bus transmission network has been amended to integrate a solar photovoltaic and wind farm in different buses. In this approach, the computing program is based on MATPOWER which is a tool of MATLAB for load flow analysis which uses the Newton–Raphson technique because of its rapid convergence. Meteorological information has been gathered during the time frame January 1, 2015, to December 31, 2017, from Danyore Weather Station (DWS) at Hunza, Pakistan. A Levenberg–Marquardt calculation–based artificial neural network model is utilized to foresee the breeze speed and sunlight-based irradiance in light of its versatile nature. Finally, the results are discussed analytically to select the best generation schedule and control variable values.

The OPF Formulation and Solution for Energy Router Incorporated AC&DC Network

2019 ◽  
Vol 12 (5) ◽  
pp. 453-463
Author(s):  
Qing Duan ◽  
Jing Guo ◽  
Wanxing Sheng ◽  
Guanglin Sha ◽  
Ke-Jun Li ◽  
...  
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Vital Role ◽  
Energy Internet ◽  
Dc Power ◽  
Optimal Power ◽  
Optimal Target ◽  
Power Electronic Technology ◽  
Better Than

Background: The energy router based on power electronic technology is the core equipment of energy internet. Energy router can control the voltage of the port and regulate the power injected into the network flexibly. It is of great significance to study how the capability of the energy router can be used to improve characteristics of the power system. Methods: Based on the analysis of energy router, we construct a unified AC-DC power flow model for energy router considering its different control modes. Then, we establish an optimal power flow formulation for the energy router incorporated AC-DC network and propose the multi-objective function to optimize the comprehensive performance of the network. Several cases are observed and analyzed on a modified IEEE-57 system. Results: The result verifies that the optimal power flow formulation can optimize the control values of ports of the energy router and improve the operating state of the power system. The optimal target presented in this paper can improve the characteristics of the grid better than a single optimal target. Conclusion: Energy router will play a vital role in the energy internet based on the power system. The characters of the power system can be improved and the operating costs can be reduced by utilizing the functionality of energy router in regulating power flow.

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