Markov Chain Monte Carlo Sampling Based Bayesian Multivariate Linear Spline Load Forecasting Agent for Smart Microgrid Energy Management System

Author(s):  
A. Sujil ◽  
R. Kumar ◽  
R.C. Bansal
Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 245
Author(s):  
Yan Xu ◽  
Zhao Luo ◽  
Zhendong Zhu ◽  
Zhiyuan Zhang ◽  
Jinghui Qin ◽  
...  

With renewable generation resources and multiple load demands increasing, the combined cooling, heating, and power (CCHP) microgrid energy management system has attracted much attention due to its high efficiency and low emissions. In order to realize the integration of substation resources and solve the problems of inaccurate, random, volatile and intermittent load forecasting, we propose a three-stage coordinated optimization scheduling strategy for a CCHP microgrid. The strategy contains three stages: a day-ahead economic scheduling stage, an intraday rolling optimization stage, and a real-time adjustment stage. Forecasting data with different accuracy at different time scales were used to carry out multilevel coordination and gradually improve the scheduling plan. A case study was used to verify that the proposed scheduling strategy can mitigate and eliminate the load forecasting error of renewable energy (for power balance and scheduling economy).


2014 ◽  
Vol 960-961 ◽  
pp. 1562-1566 ◽  
Author(s):  
Teng Yu Ge ◽  
Bu Han Zhang ◽  
Jun Li Wu ◽  
Bing Jie Jin ◽  
Shuang Zhao ◽  
...  

Microgrid can be applied in different locations, relative to traditional power technology. It can improve the reliability of users of electricity and power system operation. Distributed power in microgrid needs real-time and multi-objective optimization management. This paper discusses functions and structure of microgrid energy management system(MGEMS) when connected with the main grid. Problems in long-term and short-term energy management of microgrid are discussed. From the point of view of the software platform, the system structure of MGEMS software are proposed. On this basis, this paper discusses the way to construct modules of MGEMS and their functions.


Author(s):  
Tae-Gyu Kim ◽  
Hoon Lee ◽  
Chang-Gyun An ◽  
Kyung-Min Kang ◽  
Junsin Yi ◽  
...  

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