Primal-dual interior point linear programming optimal power flow for real-time congestion management

Abstract

A new framework of real-time congestion management under a deregulation environment is discussed in this paper, in which not only resources in balancing market but also some short-term bilateral contracts can be dispatched if necessary. The real-time reactive power and voltage support is also included in this framework. The linearized model of a modified decoupled optimal power flow is proposed to implement such a framework. A primal-dual interior point linear programming method with second-order predictor-corrector techniques is applied to solve this optimization problem efficiently. A 5-bus test system and three IEEE standard test systems are used to illustrate the efficiency of the proposed method. Nodal prices for the real-time congestion management, as by-products of primal-dual linear programming, are also analyzed to show how they can be used to settle the dispatching cost.