DOI:10.1007/s40565-017-0336-6 |
| |
| |
Double-uncertainty optimal operation of hybrid AC/DCmicrogrids with high proportion of intermittent energy sources |
| |
|
| |
Page view: 0
Net amount: 1082 |
| |
Author:
Peng LI1
, Pengfei HAN1 , Shuai HE1
, Xiaoxiao WANG1
|
Author Affiliation:
1 Department of Electrical and Electronic Engineering, North
China Electric Power University, Baoding 071003,
Hebei Province, China
|
Foundation: |
This work was supported by the National Natural
Science Foundation of China (No. 51577068) and Science &
Technology Foundation of SGCC (No. 520201150012). |
|
|
Abstract: |
This paper applies double-uncertainty optimization
theory to the operation of AC/DC hybrid microgrids to
deal with uncertainties caused by a high proportion of
intermittent energy sources. A fuzzy stochastic expectation
economic model for day-ahead scheduling based on
uncertain optimization theory is proposed to minimize the
operational costs of hybrid AC/DC microgrids. The fuzzy
stochastic alternating direction multiplier method is proposed
to solve the double-uncertainty optimization problem.
A real-time intra-day unbalanced power adjustment
model is established to minimize real-time adjustment
costs. Through comparative analysis of deterministic
optimization, stochastic optimization and fuzzy stochastic
optimization of day-ahead scheduling and real-time
adjustment, the validity of fuzzy stochastic optimization
based on a fuzzy stochastic expectation model is proved. |
Keywords: |
Double-uncertainty optimization, Fuzzy
stochastic ADMM, Fuzzy stochastic expected value model,
High proportion of intermittent energy sources, Hybrid
AC/DC microgrid |
| |
Online Time:2017/11/27 |
| |
|
|
View Full Text
Download reader
|