Title :
Probabilistic Assessment of TTC in Power Systems Including Wind Power Generation
Author :
Falaghi, Hamid ; Ramezani, Maryam ; Singh, Chanan ; Haghifam, Mahmood-Reza
Author_Institution :
Dept. of Electr. Eng., Univ. of Birjand, Birjand, Iran
fDate :
3/1/2012 12:00:00 AM
Abstract :
Wind farms (WFs) are now being used for electric power generation in some parts of the world and their penetration is expected to increase significantly. With increasing penetration of WFs in electric power systems, modification of current tools for evaluating and managing the system is an important issue. Determination of total transfer capability (TTC) is one such tool and is of considerable importance in the restructured power systems. TTC is used to calculate maximum power that can be transferred between areas in a reliable manner and schedule future transactions and commercial activities. In this paper, a method is proposed for TTC evaluation in the presence of WFs. In the proposed approach, Monte Carlo method is used to simulate a system state and optimal power flow is used to calculate the TTC level for each state. Risk analysis is used as a decision-making tool to determine the appropriate TTC level. IEEE reliability test system is used to demonstrate the effectiveness of the proposed approach.
Keywords :
Monte Carlo methods; decision making; decision support systems; power engineering computing; power system management; risk management; wind power plants; IEEE reliability test system; Monte Carlo method; TTC; decision making tool; electric power generation; maximum power calculation; power systems assessment; probabilistic assessment; restructured power system; risk analysis; total transfer capability; wind farms; wind power generation; Generators; Monte Carlo methods; Probabilistic logic; Reactive power; Wind speed; Wind turbines; Monte Carlo simulation; probabilistic generation; risk analysis; total transfer capability (TTC); wind farm (WF);
Journal_Title :
Systems Journal, IEEE
DOI :
10.1109/JSYST.2011.2163029