Open AccessRobust coordinated capacity allocation for wind generation and energy storage in power systems
Author(s) -
Xiaobin Wang,
Sheng Wen Fan,
Gang Wang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/467/1/012114
Subject(s) - sizing , wind power , energy storage , computer science , genetic algorithm , reliability engineering , electricity generation , robust optimization , electric power system , stage (stratigraphy) , energy (signal processing) , mathematical optimization , power (physics) , engineering , electrical engineering , mathematics , statistics , art , paleontology , physics , quantum mechanics , visual arts , biology
Aiming at locating and sizing of wind generation and energy storage in power system planning stage simultaneously, a bi-level optimization model is constructed. The first stage is mainly used to allocate the capacity of wind farms considering the total cost of establishment, operation and maintenance from both wind generation and energy storage. The second stage is applied for allocating energy storage to address the violations of wind generation. Robust optimization theory and genetic algorithm are used to solve the model. The effectiveness of the proposed model is validated by the Garver’s 6-bus system.