Open AccessOptimal configuration of hybrid‐energy microgrid considering the correlation and randomness of the wind power and photovoltaic power
Author(s) -
Luo Yanhong,
Yang Dongsheng,
Yin Zhenxing,
Zhou Bowen,
Sun Qiuye
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2019.0752
Subject(s) - microgrid , sizing , wind power , photovoltaic system , randomness , computer science , monte carlo method , power (physics) , mathematical optimization , control theory (sociology) , renewable energy , engineering , mathematics , electrical engineering , statistics , art , physics , control (management) , quantum mechanics , artificial intelligence , visual arts
In this study, an improved method of optimal sizing method for a hybrid‐energy microgrid (HEM) is proposed, simultaneously considering the impact of correlation and randomness of the wind power and photovoltaic (PV) power on HEM's sizing. The proposed optimal sizing method is based on the following steps: firstly, in order to obtain a large amount of data for the wind power and PV power in the planned area, a combined method which includes Kendall rank correlation coefficient, non‐parametric estimation, Copula theory and Monte Carlo is proposed to generate the joint probability density function of the wind power and PV power and to generate an amount of data. Then, while guaranteeing reliable system operation of energy supply, the optimal sizing objective function with a minimum of operation cost, investment cost and pollution gas treatment cost is established based on the scenario‐based approach. Finally, a case study of HEM is presented to verify the advantages of the proposed optimal sizing method.