Abstract:
This research work presents an optimized and coordinated strategy for energy management
of multi-microgrid (MMG) system. The proposed strategy is a bi-level optimization
strategy: local and global. At microgrid (MG) level, each energy management
system (EMS) satisfies its local load demand by utilizing all available resources via local
optimization and only sends surplus/deficit energy data toMMGlevel thus enhance customer
privacy. At MMG level, to meet load demand central energy management system
(CEMS) after receiving data from MGs performs global optimization and selects one
optimized option of the available options according to the state of MG, which include
discharging energy from community battery energy storage system (CBESS), receiving
power from other MGs and trading with grid. To ensure maximum use of cheap renewable
energy, renewable energy resources (RESs) are preferred while fulfilling demand
and charging energy storage devices. Differential evolution (DE) algorithm is used for
proposed strategy to get optimized and fast results. It is easy to implement and adaptive
for multi-microgrids. A case study of 4 MGs is conducted on IEEE 33-bus system to
validate the effectiveness of the proposed system model.
