Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties

被引：0

作者：

Li P. ^{[1
]}

Cai Y. ^{[1
]}

Han X. ^{[2
]}

Wang Z. ^{[1
]}

Yang X. ^{[1
]}

Chen B. ^{[1
]}

机构：

[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding

[2] Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan

来源：

Cai, Yongqing (1548903336@qq.com) | 1600年 / Science Press卷 / 46期

基金：

中国国家自然科学基金;

关键词：

Chance constraints; Dual-uncertainty; Hybrid AC/DC microgrid; Hybrid intelligent algorithm; Random fuzzy variable;

D O I：

10.13336/j.1003-6520.hve.20200619001

中图分类号：

学科分类号：

摘要：

In order to deal with the large day-ahead dispatch deviation of microgrid caused by the uncertainty of wind and solar output, the random fuzzy theory is introduced into the optimization operation of AC/DC hybrid microgrid. Based on the uncertainty theory, the wind speed is defined as a random fuzzy variable, and the membership functions of the Weibull distribution parameters are extracted by the maximum likelihood method, so that a random fuzzy chance constrained optimization model to minimizing the day-ahead dispatch cost is established. The random fuzzy simulation, neural network and chaotic particle swarm optimization algorithm are combined to solve the dual-uncertainty optimization model. By setting three scenarios: deterministic, stochastic and random fuzziness, the day-ahead dispatch schedule and the intra-day unbalanced power adjustment program of the three scenarios are analyzed. The correctness and feasibility of the random fuzzy dual-uncertainty model in the optimal operation of AC / DC hybrid microgrid are verified. © 2020, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

引用

页码：2269 / 2277

页数：8

共 23 条

[1]

LASSETER R H, AKHIL A, MARNAY C, Et al., Integration of distributed energy resources, Proceedings of Consortium for Electric Reliability Technology Solutions, pp. 2-6, (2002)

[2]

TAN Bifei, CHEN Haoyong, LIANG Zipeng, Et al., Stochastic multi-objective economic dispatch of micro-grid based on CoNAGA-Ⅱ, High Voltage Engineering, 45, 10, pp. 3130-3139, (2019)

[3]

LIU Z, HOIDALEN H K, SAHA M M., An intelligent coordinated protection and control strategy for distribution network with wind generation integration, CSEE Journal of Power and Energy Systems, 2, 4, pp. 23-30, (2016)

[4]

LIU Longfeng, HAN Xiaoqing, REN Chunguang, Et al., Multi-mode operation control scheme for AC/DC interfacing converter under unbalanced conditions in hybrid microgrid, High Voltage Engineering, 45, 12, pp. 4003-4012, (2019)

[5]

NGUYEN H, KHODAEI A, HAN Z., A big data scale algorithm for optimal scheduling of integrated microgrids, IEEE Transactions on Smart Grid, 9, 1, pp. 274-282, (2018)

[6]

ZHU Yongqiang, JIA Lihu, CAI Bingqian, Et al., Overview on topologies and basic control strategies for hybrid AC-DC microgrid, High Voltage Engineering, 42, 9, pp. 2756-2767, (2016)

[7]

YIN Guiliang, ZHANG Xue, CAO Dandan, Et al., Determination of optimal spinning reserve capacity of power system considering wind and photovoltaic power affects, Power System Technology, 39, 12, pp. 3497-3504, (2015)

[8]

JIN Peng, AI Xin, XU Jiajia, An economic operation model for isolated microgrid based on sequence operation theory, Proceedings of the CSEE, 32, 25, pp. 52-59, (2012)

[9]

DANIEL V, ANDRES F, JOSE L P., Simulation of correlated wind speed data for economic dispatch evaluation, IEEE Transactions on Sustainable Energy, 3, 1, pp. 142-149, (2012)

[10]

XIONG Hu, XIANG Tieyuan, CHEN Hongkun, Et al., Research of fuzzy chance constrained unit commitment containing large-scale intermittent power, Proceedings of the CSEE, 33, 13, pp. 36-44, (2013)

← 1 2 3 →