Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
摘要:
摘要： The roles of reactive power control in a distribution system become essential due to the high penetration of distributed generations (DG) these days. Proper reactive power control can reduce real power losses and regulate the voltage profile in a power system. However, intermittent characteristics of DGs (e.g., renewable energies from wind and solar power) impose uncertainty on power generation in the power system. Therefore, this paper presents a novel fast probabilistic power-flow (FPPF) method based on the Gram-Charlier series expansion to deal with such uncertainty. The FPPF method only deals with stochastic variations of random variables with respect to the expected values, thus reducing the number of iterations. Moreover, the chaotic particle swarm optimization is used to adjust generator voltages, transformer taps, and static compensators to minimize the real power losses while the stochastic voltages satisfy the operational limits. Applicability of the proposed method is verified through simulation using an autonomous 25-bus (Penghu) system and the IEEE 118-bus system. Comparative studies considering traditional probabilistic power-flow methods are performed as well. 其他題名： TPWRD 出版者： New York, NY: IEEE 出版日期： 2014-08-01 出處： IEEE transactions on power delivery, 2014-08, Vol.29 (4), p.1666-1674 資源來源： IEEE Electronic Library (IEL) 版權： 2015 INIST-CNRS 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Aug 2014 識別號： ISSN: 0885-8977 識別號： EISSN: 1937-4208 識別號： DOI: 10.1109/TPWRD.2013.2285923 識別號： CODEN: ITPDE5
