Abstract
Microgrids are subsystems of the distribution grid
operating as a single controllable system either
connected or isolated from the grid. In this paper, a
novel cooperative Model Predictive Control (MPC)
framework is proposed for urban districts comprising
multiple microgrids sharing certain Distributed Energy
Resources (DERs). The operation of the microgrids, along
with the shared DER, are coordinated such that the
available flexibility sources are optimised and a common
goal is achieved, e.g., minimizing energy exchanged with
the distribution grid and the overall energy costs. Each
microgrid is equipped with an MPC-based Energy Management
System (EMS), responsible for optimally controlling
flexible loads, heating systems and local generation
devices based on end-user preferences, weather-dependent
generation and demand forecasts, energy prices, technical
and operational constraints. The proposed coordination
algorithm is distributed and guarantees constraints
satisfaction, cooperation among microgrids and fairness
in the use of the shared resources, while addressing the
issue of scalability of energy management in an urban
district. Furthermore, the proposed framework guarantees
an agreed cost saving to each microgrid. The described
method is implemented and evaluated in a virtual testing
environment that integrates accurate simulators of the
microgrids. Numerical experiments show the feasibility,
the computational benefits and the effectiveness of the
proposed approach.
Original language | English |
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Article number | 8004502 |
Pages (from-to) | 3066-3074 |
Journal | IEEE Transactions on Smart Grid |
Volume | 8 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2017 |
MoE publication type | A1 Journal article-refereed |
Keywords
- microgrids
- load modeling
- energy management
- cogeneration
- heat pumps
- resistance heating
- energy storage