Open AccessStudy on a Real Time Scheduling Optimization Model for Multi-source Heterogeneous Distribution Network
Author(s) -
Hongyang Huang,
Xiaoming Huang,
Bo Lou,
Junchao Ma,
Haiqing Lu,
Wentao Li
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/575/1/012020
Subject(s) - scheduling (production processes) , computer science , distributed computing , distributed generation , grid , distributed power , fair share scheduling , real time computing , power (physics) , mathematical optimization , renewable energy , engineering , electrical engineering , computer network , mathematics , physics , geometry , quality of service , quantum mechanics
Real-time scheduling for distributed power consumption can be heterogeneous distribution network problems, in this paper, an optimization model based on real-time scheduling based on the day before the scheduling model, the power supply capacity of the model based on load forecasting to make full use of distributed power and energy storage equipment, reduces in the peak period of the main power supply rely on, and the imperialist competitive algorithm based on the optimization model was solved. Through the simulation test, the power supply capacity of the real-time scheduling model can effectively utilize the distributed power and energy storage devices to reduce the peak power grid based on the running cost of distribution network is reduced by 2.59%.