Abstract

The renewable energy microgrid is an effective solution for island energy supply with the advantages of low energy cost, environmental protection, and reliability. In this paper, an island renewable energy microgrid integrated with desalination units and electric vehicles is established to meet the self-satisfaction of the island’s sustainable electricity, fresh water, and transportation. The source side components of the system include photovoltaic cells, wind turbines, diesel generators, battery energy storage systems. A multi-objective dispatching optimization method based on the flexibility of electric vehicles and desalination units is proposed comprehensively considering the economy and renewable energy penetration indexes. The optimization objectives are minimizing the comprehensive operating cost, and the net load fluctuation. An improved multi-objective grey wolf optimizer is adopted to solve the dispatching problem. The system is modeled and simulated by MATLAB software. The feasibility of the proposed dispatching optimization method is verified by case studies and operation simulation. Four different cases are compared and analyzed to study the impact of EVs and DES on dispatching optimization.

Highlights

  • More than fifty thousand islands are present on the Earth, with a total area of over one-sixth of the global land area and hosting more than 740 million people

  • Literature [14] studied the reliable operation of an island microgrid by controlling the EVs charging and discharging and verified that the electric vehicles can provide the ability of load adjustment as a distributed energy storage device

  • This paper aims to establish a multi-objective dispatching optimization model of island renewable energy system integrated with electric vehicles and desalination units

Read more

Summary

Introduction

More than fifty thousand islands are present on the Earth, with a total area of over one-sixth of the global land area and hosting more than 740 million people. Literature [14] studied the reliable operation of an island microgrid by controlling the EVs charging and discharging and verified that the electric vehicles can provide the ability of load adjustment as a distributed energy storage device. In literature [15], a multi-objective optimal load dispatching model of hybrid energy microgrid with random access of electric vehicles is proposed, which can effectively reduce the daily cost and improve the stability of system operation. Few studies simultaneously combine the actual electricity, water and transportation demands of the island, taking desalination units and electric vehicles into the optimization objects for comprehensive dispatching. A dispatching optimization method of island microgrid integrated desalination units and electric vehicles as flexible loads are proposed. A dispatching opt mization method of island microgrid integrated desalination units and electric vehicles flexible loads are proposed. The detailed modeling of the major system components is presented hereafter

Photovoltaic Unit Model
Wind Turbine Model
Battery Storage Model
Diesel Generator Model
Electric Vehicle Model
Modeling of Random Charging for EVs
Modeling of Dispatching Optimization for EVs
Desalination Model
Dispatching Optimization Model and Solution
Comprehensive Operation Cost
Net Load Fluctuation
Objective Function and Constraints
Output power constraints of DES
Dispatching Optimization Strategy
Dispatching Strategy of EVs
Dispatching Strategy of DES
Dispatching Strategy of BSS and DG
Improved Multi-Objective Grey Wolf Optimizer
Optimization Results
Comparative Analysis of Different Cases
Load Curves Analysis
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.