Open AccessConic Programming Based Day-ahead Optimization Dispatch in Distribution Network Containing Large-scaled Distributed Generation and Electric Vehicle
Author(s) -
Fei Gao,
Xiaohui Song,
Haifeng Shi,
Jianfang Li,
Yu Zhang,
Yajie Li,
Shanshan Zhao
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012063
Subject(s) - news aggregator , nonlinear programming , mathematical optimization , computer science , conic section , economic dispatch , electric vehicle , distributed generation , power (physics) , electric power system , nonlinear system , mathematics , physics , geometry , quantum mechanics , operating system
Regarding day-ahead optimization dispatch in distribution network containing large-scaled distributed generations (DGs) and electric vehicles (EVs), this paper proposes an optimization dispatch method based on conic programming. A model for dispatch that can optimize the EV aggregator charging power and the output of DGs is established. The proposed model takes the constrains of EV charging energy and charging power into consideration. In addition, DG can curtail the active power in the model to guarantee the operation safety. Then nonlinear optimization dispatch model are transformed and relaxed into second-order cone programming model to be solved. The optimization dispatch method proposed in this paper is verified by the IEEE33 node test system.