Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties
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Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties
Vol. 46, Issue 7, Pages: 2269-2279(2020)
作者机构:
1. 华北电力大学电气与电子工程学院
2. 电力系统运行与控制山西省重点实验室(太原理工大学)
作者简介:
基金信息:
DOI:
CLC:
Published Online:31 July 2020,
Published:2020
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LI Peng, CAI Yongqing, HAN Xiaoqing, et al. Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties[J]. 2020, 46(7): 2269-2279.
DOI:
LI Peng, CAI Yongqing, HAN Xiaoqing, et al. Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties[J]. 2020, 46(7): 2269-2279.DOI:
Optimization Operation of AC/DC Hybrid Microgrid Considering Random Fuzzy Double Uncertainties
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.