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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3191-3194
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3191
• Online since: November 2014
• Authors: Wei Hua Chen*, Yan Wei Chen
• Keywords: Congestion Management, Fuzzy, Power Market, Risk

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