Probabilistic wind power penetration of power system using nonlinear predictor-corrector primal-dual interior-point method

2008 ◽  
Author(s):  
Wei Zhou ◽  
Yu Peng ◽  
Hui Sun
Keyword(s):  
Power System ◽  
Wind Power ◽  
Interior Point ◽  
Interior Point Method ◽  
Point Method ◽  
Primal Dual ◽  
Predictor Corrector

scholarly journals Predictor-Corrector Primal-Dual Interior Point Method for Solving Economic Dispatch Problems: A Postoptimization Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-26 ◽  
Author(s):  
Antonio Roberto Balbo ◽  
Márcio Augusto da Silva Souza ◽  
Edméa Cássia Baptista ◽  
Leonardo Nepomuceno
Keyword(s):  
Power Systems ◽  
Interior Point ◽  
Interior Point Method ◽  
Line Search ◽  
Economic Dispatch ◽  
Point Method ◽  
Computational Implementation ◽  
Quadratic Programming Problems ◽  
Primal Dual ◽  
Predictor Corrector

This paper proposes a predictor-corrector primal-dual interior point method which introduces line search procedures (IPLS) in both the predictor and corrector steps. The Fibonacci search technique is used in the predictor step, while an Armijo line search is used in the corrector step. The method is developed for application to the economic dispatch (ED) problem studied in the field of power systems analysis. The theory of the method is examined for quadratic programming problems and involves the analysis of iterative schemes, computational implementation, and issues concerning the adaptation of the proposed algorithm to solve ED problems. Numerical results are presented, which demonstrate improvements and the efficiency of the IPLS method when compared to several other methods described in the literature. Finally, postoptimization analyses are performed for the solution of ED problems.

Research on the Congestion Management of Power System Based on Multi-Objective Functions and Primal-Dual Interior Point Method

2014 ◽  
Vol 687-691 ◽  
pp. 3191-3194
Author(s):  
Wei Hua Chen ◽  
Yan Wei Chen
Keyword(s):  
Power System ◽  
Interior Point ◽  
Interior Point Method ◽  
Optimal Power Flow ◽  
Congestion Management ◽  
Point Method ◽  
Objective Functions ◽  
Multi Objective ◽  
Primal Dual ◽  
Risk Constraint

Congestion management is a hot point for research in power system. Optimal power flow (OPF) model is often used to solve this problem. However, the results cannot satisfy with market needing. To solve this problem, this paper presents a novel method of congestion management based on risk constraint and fuzzy optimization in electricity power markets. The risk constraint is used for transmission line thermal security instead of the traditional deterministic current or power constraint. The multi-objective functions are used to coordinate the conflict between security and efficiency of transmission network. Primal-Dual Interior Point Method (PDIPM) is adopted to solve the RBOPF problem. The method can minimize re-dispatch cost and the system operating risk.

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