scholarly journals Scheduling distributed energy resources and smart buildings of a microgrid via multi‐time scale and model predictive control method

2018 ◽  
Vol 13 (6) ◽  
pp. 816-833 ◽  
Author(s):  
Xiaolong Jin ◽  
Tao Jiang ◽  
Yunfei Mu ◽  
Chao Long ◽  
Xue Li ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Time Scale ◽  
Control Method ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Smart Buildings

Modeling an electric power microgrid by model predictive control for analyzing its characteristics from reliability, controllability and topological perspectives

2018 ◽  
Vol 232 (2) ◽  
pp. 216-224
Author(s):  
Fangyuan Han ◽  
Enrico Zio
Keyword(s):  
Model Predictive Control ◽  
Electric Power ◽  
Predictive Control ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Dynamic Simulations ◽  
Operation Modes ◽  
Multiple Characteristics ◽  
The Right

Microgrids can be a key solution for integrating renewable and distributed energy resources. This article analyzes microgrids’ characteristics adopting model predictive control. We study the microgrid performance under two operation modes: grid-connected and stand-alone. For each mode, we consider different faulty scenarios, and by dynamic simulations, we investigate the importance of the microgrid components from different perspectives: topological, reliability and controllability. This analysis enables evaluation of the microgrid performance and quantification of the importance of each component with respect to the different perspectives considered. The findings provide information for the design and operation of a microgrid, seeking the right balance of multiple characteristics.

scholarly journals Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3093 ◽  
Author(s):  
Anand Krishnan Prakash ◽  
Kun Zhang ◽  
Pranav Gupta ◽  
David Blum ◽  
Marc Marshall ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Small Scale ◽  
Area Network ◽  
Wide Area Network ◽  
Battery Storage ◽  
Distributed Energy ◽  
Building Loads

With the falling costs of solar arrays and battery storage and reduced reliability of the grid due to natural disasters, small-scale local generation and storage resources are beginning to proliferate. However, very few software options exist for integrated control of building loads, batteries and other distributed energy resources. The available software solutions on the market can force customers to adopt one particular ecosystem of products, thus limiting consumer choice, and are often incapable of operating independently of the grid during blackouts. In this paper, we present the “Solar+ Optimizer” (SPO), a control platform that provides demand flexibility, resiliency and reduced utility bills, built using open-source software. SPO employs Model Predictive Control (MPC) to produce real time optimal control strategies for the building loads and the distributed energy resources on site. SPO is designed to be vendor-agnostic, protocol-independent and resilient to loss of wide-area network connectivity. The software was evaluated in a real convenience store in northern California with on-site solar generation, battery storage and control of HVAC and commercial refrigeration loads. Preliminary tests showed price responsiveness of the building and cost savings of more than 10% in energy costs alone.

A Voltage Control Method in Coordination with an SVR using Distributed Energy Resources in Customers for System Voltage Stabilization

2020 ◽  
Vol 140 (6) ◽  
pp. 445-455
Author(s):  
Hiroki Ishihara ◽  
Kaho Nada ◽  
Miwako Tanaka ◽  
Sadayuki Inoue ◽  
Akiko Kuwata ◽  
...  
Keyword(s):  
Control Method ◽  
Voltage Control ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Voltage Stabilization
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