Risk based optimal power flow

Author

Fu, Weihui ; McCalley, James D.

Volume

3

fYear

2001

fDate

2001

Abstract

In this study, a risk based optimal power flow method is developed. The method assumes that power demand in each bus is random and normally distributed associated with the forecasted value as its mean and some variance. The uncertainties associated with load characteristics, weather conditions, and contingencies are incorporated into the component risk functions. The traditional inequality deterministic constraints such as branch thermal limits and bus voltage limits are replaced by the probabilistic risk functions for each transmission line, transformer and bus. A successive linear programming algorithm is adopted to solve the risk based OPF problem in this study. Risk based OPF provides a useful decision-making tool to help the system operator to balance system risk and cost

Keywords

control system synthesis; linear programming; load flow control; optimal control; power system control; probability; risk management; branch thermal limits; bus power demand; bus voltage limits; component risk functions; contingencies; decision-making tool; deterministic constraints; load characteristics; power system controls scheduling; probabilistic risk functions; risk based OPF problem; risk based optimal power flow; successive linear programming algorithm; transformer; transmission line; uncertainties; weather conditions; Constraint optimization; Decision making; Demand forecasting; Load flow; Power demand; Power generation; Power transmission lines; Uncertainty; Voltage; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech Proceedings, 2001 IEEE Porto

Conference_Location

Porto

Print_ISBN

0-7803-7139-9

Type

conf

DOI

10.1109/PTC.2001.964915

Filename

964915