Decision tree aided planning and energy balancing of planned community microgrids
| Autor: | Maria Brucoli, Spyros Skarvelis-Kazakos, Panayiotis Moutis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
TK0452 020209 energy Distributed computing TK TK2896 Control (management) TK1001 Decision tree 02 engineering and technology Systems and Control (eess.SY) Management Monitoring Policy and Law Electrical Engineering and Systems Science - Systems and Control Energy storage Control theory 0202 electrical engineering electronic engineering information engineering FOS: Electrical engineering electronic engineering information engineering TJ0807 TK4001 business.industry Mechanical Engineering Control engineering Building and Construction TJ0163.13 General Energy Software deployment Distributed generation TK3001 business Intelligent control Energy (signal processing) |
| ISSN: | 0306-2619 |
| Popis: | Planned Communities (PCs) present a unique opportunity for deployment of intelligent control of demand-side distributed energy resources (DER) and storage, which may be organized in Microgrids (MGs). MGs require balancing for maintaining safe and resilient operation. This paper discusses the implications of using MG concepts for planning and control of energy systems within PCs. A novel tool is presented, based on decision trees (DTs), with two potential applications: (i) planning of energy storage systems within such MGs and (ii) controlling energy resources for energy balancing within a PC MG. The energy storage planning and energy balancing methodology is validated through sensitivity case studies, demonstrating its effectiveness. A test implementation is presented, utilizing distributed controller hardware to execute the energy balancing algorithm in real-time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect