Fuzzy logic-based energy management system design for residential grid-connected microgrids
This paper presents the design of a low complexity Fuzzy Logic Controller of only 25-rules to be embedded in an Energy Management System for a residential grid-connected microgrid including Renewable Energy Sources and storage capability. The system assumes that neither the renewable generation nor...
| Authors: | , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2016 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/106638 |
| Online Access: | https://hdl.handle.net/2117/106638 https://dx.doi.org/10.1109/TSG.2016.2555245 |
| Access Level: | Open access |
| Keyword: | Energy conservation Fuzzy logic Distributed power generation Energy management Fuzzy control Microgrid Renewable energy sources Smart grid Energia -- Estalvi Lògica difusa Àrees temàtiques de la UPC::Energies::Eficiència energètica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Summary: | This paper presents the design of a low complexity Fuzzy Logic Controller of only 25-rules to be embedded in an Energy Management System for a residential grid-connected microgrid including Renewable Energy Sources and storage capability. The system assumes that neither the renewable generation nor the load demand is controllable. The main goal of the design is to minimize the grid power profile fluctuations while keeping the Battery State of Charge within secure limits. Instead of using forecasting-based methods, the proposed approach uses both the microgrid energy rate-of-change and the battery SOC to increase, decrease or maintain the power delivered/absorbed by the mains. The controller design parameters (membership functions and rule-base) are adjusted to optimize a pre-defined set of quality criteria of the microgrid behavior. A comparison with other proposals seeking the same goal is presented at simulation level, whereas the features of the proposed design are experimentally tested on a real residential microgrid implemented at the Public University of Navarre. |
|---|