A Model Predictive Control-Based Decision-Making Strategy for Residential Microgrids

Eng

卷:3

Evgenia Mechleri¹  Harvey Arellano-Garcia²  Bogdan Dorneanu² 

[1] Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK;

[2] Fachgebiet Prozess-und Anlagentechnik, Brandenburgische Technische Universität Cottbus-Senftenberg, 03046 Cottbus, Germany;

关键词: model predictive control (MPC);    mixed-integer linear programming (MILP);    rolling horizon;    distributed energy resources (DER);    microgrid;   

DOI  :  10.3390/eng3010009

来源: DOAJ

【 摘 要 】

This work presents the development of a decision-making strategy for fulfilling the power and heat demands of small residential neighborhoods. The decision on the optimal operation of a microgrid is based on the model predictive control (MPC) rolling horizon. In the design of the residential microgrid, the new approach different technologies, such as photovoltaic (PV) arrays, micro-combined heat and power (micro-CHP) units, conventional boilers and heat and electricity storage tanks are considered. Moreover, electricity transfer between the microgrid components and the national grid are possible. The MPC problem is formulated as a mixed integer linear programming (MILP) model. The proposed novel approach is applied to two case studies: one without electricity storage, and one integrated microgrid with electricity storage. The results show the benefits of considering the integrated microgrid, as well as the advantage of including electricity storage.

【 授权许可】

Unknown