Intelligent DC Microgrid With Smart Grid Communications: Control Strategy Consideration and Design

TitleIntelligent DC Microgrid With Smart Grid Communications: Control Strategy Consideration and Design
Publication TypeConference Paper
Year of Publication2012
AuthorsWang B, Sechilariu M, Locment F
Conference NameSmart Grid, IEEE Transactions on
ISBN Number1949-3053 VO - 3
Keywordsadvanced energy management, control design, control system synthesis, distributed power generation, end-user demand, energy management, grid vulnerability, imposed power limits, intelligent control, intelligent DC microgrid integration, intelligent multilayer supervision, load consumption prediction, load forecasting, Load modeling, load shedding, low speed communication, MATLAB, MATLAB stateflow, multilayer control, photovoltaic power system, Photovoltaic power systems, photovoltaic production forecast, photovoltaic-storage urban building integrated sys, power balancing, power balancing control interface, power generation control, Production, PV constrained production, PV-storage urban building integrated system, Smart buildings, smart grid, smart grid communication control strategy, smart grid messages, smart power grids, utility grid
AbstractAiming at photovoltaic (PV)-storage urban building integrated system, this paper proposes a DC microgrid with multi-layer control and smart grid communications. The paper focuses on power balancing, with load shedding and PV constrained production, and takes into account the grid availability and grid vulnerability by smart grid messages. The system behavior modeling by MATLAB Stateflow leads to the whole control strategy design, which concerns the power balancing and imposed power limits by the utility grid, while providing interface for energy management. Experimental results evaluate the feasibility of the proposed control strategy. As further development of this control design, an intelligent multi-layer supervision is suggested. This supervision, able to exchange data with the smart grid, deals with the end-user demand, forecast of photovoltaic production, prediction of load consumption, and energy management. The major technical contribution of this paper is linked to the proposed control design that permits better DC microgrid integration (avoids undesired injection, mitigates fluctuations in grid power, reduces grid peak consumption) and provides possibility to reduce the negative impact on the utility grid thanks to the supervision interface. The power balancing control interface provides possibility for advanced energy management with low speed communication.