Chaotic PSO-based VAR control considering renewables using fast probabilistic power flow

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Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106729

Title:	Chaotic PSO-based VAR control considering renewables using fast probabilistic power flow
Authors:	林法正;Hong, Ying-Yi;Lin, Faa-Jeng;Lin, Yu-Chun;Hsu, Fu-Yuan
Contributors:	資訊電機學院電機工程學系
Keywords:	Applied sciences;Chaos;Chaos theory;Control systems;Direct energy conversion and energy accumulation;Electric potential;Electric utilities;Electrical engineering. Electrical power engineering;Electrical machines;Electrical power engineering;Electricity distribution;Energy management;Exact sciences and technology;Miscellaneous;Operation. Load control. Reliability;Particle swarm optimization (PSO);Power generation;Power networks and lines;Probabilistic logic;Probabilistic methods;probabilistic power flow;Probability theory;Random variables;Reactive power;Regulation and control;renewable energy;Solar power generation;Stochastic processes;VAR control;Voltage;Voltage control
Date:	2014-01-01
Issue Date:	2026-04-23 13:38:53 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	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
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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