Open AccessRobust day‐ahead dispatch of CAES for mitigating fluctuation of net load in the distribution network
Author(s) -
Wu Chenxi,
Wu Qiuwei,
Wu Qiuxuan
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.1168
Subject(s) - compressed air energy storage , renewable energy , economic dispatch , energy storage , distributed generation , mathematical optimization , power (physics) , computer science , engineering , electric power system , mathematics , electrical engineering , physics , quantum mechanics
Compressed air energy storage (CAES) can balance the fluctuation of renewable generation. In this study, the CAES is used as an energy storage system in the distribution network with wind power generation (WPG). Considering the forecasting error of WPG and load, a robust day‐ahead optimal dispatch scheme for the CAES is developed in this study. The characteristics of the CAES are modelled in detail for the expansion/compression operation during the robust optimal dispatch (ROD). The aim is to minimise the fluctuation of the net load in the distribution network. Robust dynamic programming is employed to solve the optimisation problem in this study. The developed scheme is tested with the IEEE‐RBTS load profile and real WPG data. The deterministic and ROD‐ahead dispatch scheme are simulated and compared. The fluctuation of the net load is compared with different weights of the variation and uncertainty set.