Abstract

A new energy management framework for multi-microgrid (MMG) systems composed of high renewable energy sources (RES) is proposed in this paper. In traditional energy management system (EMS), battery energy storage system (BESS) is only considered in a single microgrid (MG) optimization model, which leads to underutilization of storage devices and waste of resources. Considering the advantages of local consumption of RES, this paper develops a hierarchical multi-agent energy management strategy. A two-step model aiming at maximizing the usage of RES is established to help determine the strategy. In the first step, the strategy is developed to maximize the local consumption of RES based on the demand response programs (DRP) and BESS within the independent MG. In the second step, the community BESS and BESSs are used to share the RES of multiple MGs for increasing the utilization ratio of RES. Simultaneously, the output of each controllable distributed generator (CDG) and the transaction with power grid are determined through a distributed adjustable power generation plan query library (DGPS). Moreover, the simulation with a three-MG system proves that the strategy can effectively increase the utilization ratio of RES and reduce the transaction with power grid compared to the traditional strategy.

Highlights

  • Under the social background with the energy shortage and environmental pollution, renewable energy sources (RES) such as wind energy, solar energy are the most important substituted energy sources which are being the main energy of modern power systems [1]

  • In contrast to the traditional energy management strategy, the battery energy storage system (BESS) of each MG is considered by MMG energy management system (EMS) in addition to the community BESS (CBESS) and the controllable distributed generator (CDG) for achieving global optimization

  • All BESSs participate in the use of renewable energy and the global optimal power generation strategy of all CDGs are enforced, which significantly increases the transactions among MGs

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Summary

INTRODUCTION

Under the social background with the energy shortage and environmental pollution, RES such as wind energy, solar energy are the most important substituted energy sources which are being the main energy of modern power systems [1]. The cooperation of MMG system is favorable to the reasonable distribution of energy, the optimization of network operation costs and the improvement of power grid reliability [8]. In [15], a distributed algorithm for the energy management of networked MGs based on the on-line alternating direction method of multipliers algorithm is proposed Their objective is to coordinate the power scheduling of various components in the MGs while satisfying the underlying power network operation constraints. The DC power lines enable the direct energy exchange among MGs. In [10], [11], [15], all CDGs are running in MG optimization under any circumstance, which leads to increase equipment operating costs.

ENERGY MANAGEMENT STRATEGIES
SYSTEM MODEL
CONCEPTS
STEP 1
STEP 2
CASE CONFIGURATION
Findings
CONCLUSION
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