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Research on Stochastic Power Flow Calculation for Microgrids

Author: LiZuoZuo
Tutor: ChenJinFu
School: Huazhong University of Science and Technology
Course: Proceedings of the
Keywords: Piconet Micro- power Random trend Semi - invariant Voltage fluctuations
CLC: TM744
Type: Master's thesis
Year: 2011
Downloads: 222
Quote: 0
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Abstract


With the continuous advancement of science and technology and the rapid development of the economy, the growing consumption of energy and natural resources. Piconet as an important trend in the development of power system, has an extremely important significance for the development of new energy generation technologies to solve the energy problem, Based distributed generation with renewable energy technologies has been rapid development of micro-networks can maximize the performance of distributed generation energy supply system, the combination of distributed power to provide electricity for the local load, and in any case to ensure the normal operation of the micro network load, distributed power island operation problems. However, the output power of the micro power piconet randomness, analysis of the operating characteristics of the micro-network, you need to consider that randomness, therefore, to conduct research and analysis for distributed power piconet random trend, it has extremely important significance. Firstly, from the micro-power, energy storage element, the load of all the micro-network modeling study and key research on the basis of a comprehensive comparative analysis of the existing power system random trend algorithm based on semi-variable and Gram -Charlier series of random trend algorithm, applied piconet random flow analysis. Widely used, based on the semi-invariant and Gram-Charlier series of random trend algorithm is fast and reliable, but must ensure that the series expansion where kurtosis, skewness coefficient close to 0, the random micro-power output volatility often break the prerequisite. To solve this problem, this paper presents an improved micro-mesh random trend algorithm. The method of discrete random variables, the normal distribution is handled separately, and discrete distribution function method for getting accurate even when random micro-power output volatility when the probability distribution of the state variables. These two kinds of micro-the network randomly trend algorithm applied to the specific micro-network structure, and expand the study of the micro-the network randomly trend operational characteristics and analysis of the energy storage element, and different types of capacity micro power on the operating characteristics of the micro-network to micro-network planning and design help. Simulation results show that the micro is not a single type of power source and the closer between the different types of micro-power capacity, can significantly improve the output of the random micro network node voltage fluctuations; micro net energy storage element due to the charge and discharge characteristics can inhibit micro-power the random output impact on the the piconet run state. Finally, when micro-network and network operation, from the point of view of the grid micro-network equivalent modeling study.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system simulation and calculation > The calculation of the power system
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