An Optimized Framework for Energy Management of Multi-Microgrid Systems /

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.