Browsing by Author "Teng, Weijun"

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    Impacts of optimal allocation of DFACTS on the penetration capacity of distributed generation
    (IEEE, 2010) Ren, Hui.; Yu, X.; Teng, Weijun; Watts Casimis, David
    Distributed generation (DG) with sometimes undesirable or troublesome location and capacity has adverse impacts on the transmission losses of the distribution network, on voltage stability and network reliability. With the growing application of renewable and unconventional energy sources, the penetration capacity of DG is increasing, therefore affecting power flows in the distribution network. Distributed FACTS (DFACTS) devices, with their capability of power flow control, could be a possible solution to this issue. In this paper, Monte Carlo simulation is used to simulate the commission and operation of DG. A sensitivity method is used to select the install location of DFACTS. How DFACTS help to release restrictions on the location and maximum penetration capacity of DG units is analyzed. Simulation results show that with the application of DFACTS, limitations of the distributed power's position and capacity can be effectively reduced. Simulation results provide useful information on DFACTS application in distribution system with DGs.
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    Reliability enhancement of the system with large amount of wind power integration
    (IEEE, 2011) Ren, Hui; Chen, Y.; Teng, Weijun; Watts Casimis, David
    The power output from wind farms is highly volatile, uncertain and hard to be predicted accurately. Then sometimes positive short-run correlation between variations of wind power output and load could bring more and larger disturbances in the system operation, bringing reliability and economic concerns. The integration of wind power generators in power systems poses some challenges, and besides installing extra reserve capacities, transmission reinforcement or other advanced controls may be required to avoid transmission overloads or voltage problem induced by wind power variation. Moreover, a well-developed transmission network may need less reserve capacity for a given reliability level, providing incentives for the research of this paper. In this paper, an optimization & sensitivity method is proposed to identify the vulnerable area of the transmission system with large amount of wind integration. IEEE-57 bus system is used as the test system. Test cases with various objective functions and allocation of reserve capacity are designed and therefore different upgrade schemes are obtained by the method. Monte Carlo simulation is used for the reliability & economic evaluation of the test system with a group of indices, including a new index - entropy. Test results and comparison show the effective of the method, and also the potential of entropy for assessing the robust of the transmission network.