Abstract

In order to facilitate the local sharing of renewable energy, an energy sharing management method of multiple microgrids (MGs) with a battery energy storage system (BESS) and renewable energy sources (RESs) is developed. First, a virtual entity named the energy sharing provider (ESP), which acts as an agent for MGs, is introduced to minimize the power loss cost. Second, a distributed optimal model and a two-level iterative algorithm for the MGs and ESP are proposed, which minimize the total operation cost including purchasing electricity cost, energy storage cost and power loss cost. Based on the energy sharing framework, considering the local objectives of MGs and the objective of ESP, the optimal scheduling can be achieved through the bidirectional interaction between MGs and ESP. During the optimization, the shared information between MGs and ESP is limited to expected exchange power, which protects the privacy of MGs and ESP. Finally, the effectiveness of the proposed model and algorithm in different scenarios is verified through a case study.

Highlights

  • The distribution management system (DMS) [1,2] is regarded as one of the most essential factors of the development of the smart grid

  • The bidirectional interaction between MGs and energy sharing provider (ESP) is achieved taking into account the local objective of each MG and the objective of ESP

  • When there is a shortage of renewable energy sources (RESs), the power generated by combined heat and power (CHP) can be used to satisfy the load demands of MG1, and MG1 chooses to discharge by

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Summary

Introduction

The distribution management system (DMS) [1,2] is regarded as one of the most essential factors of the development of the smart grid. The centralized scheme would be to solve the optimization problem by means of a coordinating entity (CE) with global operational data In this context, [27] proposes a centralized scheme for energy management of multiple MGs by taking the cost minimization as the objective. It is suitable to model the energy sharing management of the MMG system by using ADMM To this end, the energy sharing framework of multiple MGs based on ADMM has been highlighted in this paper, which can reduce power loss and operation cost. Based on the framework of ADMM, a distributed optimal scheduling model and a two-level iterative algorithm for the MGs and ESP in coalition are proposed, which minimize the total operation cost including purchasing electricity cost, energy storage cost and power loss cost in coalition.

System Structure
Energy Sharing Structure of MGs
RESs Model
BESS Model
Model of CHP System
Power Loss Model
Optimal Dispatching Model of MG
Basic Optimal Dispatching Model of MGs and ESP
Distributed Optimal Dispatching Model of MGs and ESP Based on ADMM
Convergence Condition and Distributed Optimal Algorithm
Optimization Solution of MGs in the Iteration Process
Distributed Optimal Algorithm
Basic Data in Scenario 1
Optimal Results on Different Days for One Week
Basic Data in Scenario 2
Results and Analysis of the Distributed Optimal Dispatching in Scenario 2
Comparison with the Related Work
Scalability Analysis
Conclusions
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