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Power System Dynamic Security Assessment (DSA) - Generator Aggregation Exhibitor: Wei Chean Lim Supervisor: Zhao Dong Research Group: Complex and Intelligent Systems Industry Sector: Energy and Utilities In the competitive electricity market where any system in-stability that caused interrupts of supply could cost millions of dollars. Therefore, modern power systems are required to operate in a secure status in order to survive the competitive market. The National Electricity Market of Australia (NEM) is a competitive electricity market where the system security is closely monitored by the National Electricity Market Management Company (NEMMCO). It is required that any system security problem is detected and corrective actions be taken within 30 minutes' time (detection 20 minutes and correction 10 minutes). This has made dynamic security assessment very important for the electric power market managers (NEMMCO in Australia). Due to the complexity of the network, an accurate assessment of the system stability is generally time consuming and computationally intensive task. In the past few years, various program packages were developed to access the network stability replacing the requirement of manual computation. In spite of this the market are still looking into developing faster and accurate programs to conduct the assessment. The project will look into the nature of power system security problems, and develop a software package in accordance to the Inertial Aggregation Algorithm [1]. The inertial aggregation algorithm provides a faster dynamic security assessment as it reduces the number of generators that are coherent. With the reduced number of generators, the complexity of computation has been reduced to great extend. The coding was based on Matlab program and simulation of 4 machines and 16 machines was carried out using the new code. The result of the simulation shows that the aggregated model response is close enough to the original system response. Though there are some differences, the aggregation program will significantly reduce the computation cost for Dynamic Security Assessment which is of paramount importance.
Thesis Document (PDF)
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