Conservative linear line flow constraints for AC optimal power flow

2017 ◽  
Author(s):  
Dmitry Shchetinin ◽  
Tomas Tinoco De Rubira ◽  
Gabriela Hug
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power ◽  
Line Flow ◽  
Flow Constraints

Study of Active Line Flow Constraints in DC Optimal Power Flow Problems

2020 ◽  
Author(s):  
Zhi Jin Zhang ◽  
Priya Thekkumparambath Mana ◽  
Decheng Yan ◽  
Yichen Sun ◽  
Daniel K. Molzahn
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problems ◽  
Active Line ◽  
Optimal Power ◽  
Line Flow ◽  
Flow Constraints

scholarly journals Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Luong Le Dinh ◽  
Dieu Vo Ngoc ◽  
Pandian Vasant
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Artificial Bee Colony ◽  
Optimization Method ◽  
Capacity Limits ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Optimal Power ◽  
Line Flow ◽  
Power Flow Problem

This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem.

The Unit Commitment Problem With AC Optimal Power Flow Constraints

2016 ◽  
Vol 31 (6) ◽  
pp. 4853-4866 ◽  
Author(s):  
Anya Castillo ◽  
Carl Laird ◽  
Cesar A. Silva-Monroy ◽  
Jean-Paul Watson ◽  
Richard P. O'Neill
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Unit Commitment ◽  
Unit Commitment Problem ◽  
Optimal Power ◽  
Commitment Problem ◽  
Flow Constraints

Transient Stability Constrained Line-Flow-Based Optimal Power Flow Analysis

2012 ◽  
Vol 13 (2) ◽  
Author(s):  
Lazarus O. Uzoechi ◽  
Satish M. Mahajan ◽  
Ghadir Radman
Keyword(s):  
New England ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Transient Stability ◽  
Flow Analysis ◽  
Computation Time ◽  
Internal Node ◽  
Machine Model ◽  
Optimal Power ◽  
Line Flow

This paper establishes a new method that adopts the line-flow-based (LFB) approach to develop a transient stability constrained optimal power flow (OPF) analysis called LFB-TSCOPF. The transient energy function (TEF) serves as a direct means of carrying out the stability analysis. The reduction technique was adopted in which the classical machine model was reduced to the internal node model. The proposed method was tested on the WECC 9-bus, three-machine, IEEE 14-bus, five-machine, and the New England 39-bus, ten-machine test systems. The results were compared with other known results from different methods in literature. The results of the active power and total optimal costs are quite promising and consistent with other known methods. The LFB-TSCOPF re-dispatches real power by applying the energy margin performance index as an indication of the generator unit(s) to be rescheduled. The LFB-TSCOPF provides a more comprehensive linear model, reduces computation time and can be useful for online stability studies.

scholarly journals Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2344
Author(s):  
Hang Li ◽  
Zhe Zhang ◽  
Xianggen Yin ◽  
Buhan Zhang
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Problems ◽  
Renewable Energy Sources ◽  
Distribution Functions ◽  
Cumulative Distribution ◽  
Chance Constraint ◽  
Constrained Optimization Problems ◽  
Optimal Power ◽  
Line Flow

The traditional security-constrained optimal power flow (SCOPF) model under the classical N-1 criterion is implemented in the power industry to ensure the secure operation of a power system. However, with increasing uncertainties from renewable energy sources (RES) and loads, the existing SCOPF model has difficulty meeting the practical requirements of the industry. This paper proposed a novel chance-constrained preventive SCOPF model that considers the uncertainty of power injections, including RES and load, and contingency probability. The chance constraint is used to constrain the overall line flow within the limits with high probabilistic guarantees and to significantly reduce the constraint scales. The cumulant and Johnson systems were combined to accurately approximate the cumulative distribution functions, which is important in solving chance-constrained optimization problems. The simulation results show that the model proposed in this paper can achieve better performance than traditional SCOPF.

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