Abstract
In this paper, the structure of the highest level of a hierarchical control architecture for micro-grids is proposed. Such structure includes two sub-levels: the Energy Management System, EMS, and the tertiary regulation. The first devoted to energy resources allocation in each time slot based on marginal production costs, the latter aiming at finding the match between production and consumption satisfying the constraints set by the EMS level about the energy production in each time slot. Neglecting the efficiency of the different energy generation systems as well as that of the infrastructure for electrical energy distribution, the problem dealt with by the EMS sub-level is linear and can be solved by well known Linear Programming optimization procedures. The tertiary sub-level, below the EMS, optimizes mainly technical objectives and requires the solution of the Optimal Power Flow problem. After a review of the state of the art on the topic, the higher control sub-levels are described and an application is proposed. The application shows the efficiency of Mixed Integer Linear Programming methods for cost minimization of the energy production systems for microgrids. Also the formulation of the OPF problem is briefly outlined to describe the interaction between the two sub-levels
Original language | English |
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Title of host publication | Proceedings of the 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC) |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | Jun 2015 |
Pages | 144 - 149 |
ISBN (Print) | 978-1-4799-7992-9, 978-1-4799-7993-6 |
DOIs | |
Publication status | Published - Jun 2015 |
Event | 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC) - Rome, Italy Duration: 10 Jun 2015 → 13 Jun 2015 |
Conference
Conference | 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC) |
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Country/Territory | Italy |
City | Rome |
Period | 10/06/2015 → 13/06/2015 |
Keywords
- Energy management systems
- Linear programming
- Optimization
- Micro-grids