A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages

Habib，Salman1; Ahmarinejad，Amir2; Jia，Youwei1

2023-10-15

10.1016/j.est.2023.107962

Journal of Energy Storage   影响因子和分区

2352-152X

2352-152X

This paper introduces a three-stage stochastic optimization (TSSO) structure for energy management of a distribution system consisting of four microgrids, where distribution system planning is performed considering the requested schedule of microgrids and SHs. SHs do their planning with the goal of cost minimization at the first stage. Then, microgrid planning is performed taking into account the SH requested program at the second stage. Ultimately, main grid planning is performed taking into account the requested program of microgrids at stage 3. In order to deal with uncertainties caused by renewable power generations (RPGs), load demand and electric vehicle (EV) users' behavior, a scenario-based (SB) stochastic technique is used and the problem is modeled in the linear programming (LP) format. The model is solved through the GUROBI solver in the GAMS environment and the results reveal that energy storage (ES) devices, demand response program (DRP) and vehicle-to-grid (V2G) services lead to the improvement of the voltage profile, the relief of the congestion in the vital lines and a 20.37 % reduction of operating cost. In addition, the outcomes showed that the main grid operator can adopt a more optimal schedule for microgrids through distribution feeder reconfiguration (DFR) and thereby reduce their operating cost.

Demand-side management Energy storage devices Microgrids Renewable energy resources Smart homes Vehicle-to-grid services

SCI ; EI

英语

第一 ; 通讯

Shenzhen Fundamental Research Program[20220815161706001];National Natural Science Foundation of China[72071100];Shenzhen Fundamental Research Program[JCYJ20210324104410030];

Energy & Fuels

Energy & Fuels

WOS:001023026800001

ELSEVIER

20232514268048

Automation ; Cost reduction ; Demand side management ; Electric power distribution ; Electric utilities ; Electric vehicles ; Energy management ; Intelligent buildings ; Linear programming ; Operating costs ; Renewable energy resources ; Stochastic models ; Stochastic systems ; Traffic congestion ; Vehicle-to-grid

Buildings and Towers:402 ; Energy Management and Conversion:525 ; Energy Resources and Renewable Energy Issues:525.1 ; Energy Storage:525.7 ; Electric Power Systems:706.1 ; Electric Power Distribution:706.1.2 ; Computer Applications:723.5 ; Automatic Control Principles and Applications:731 ; Control Systems:731.1 ; Cost Accounting:911.1 ; Industrial Economics:911.2 ; Probability Theory:922.1 ; Systems Science:961

2-s2.0-85162119858

Scopus

1.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Electrical Engineering,Central Tehran Branch,Islamic Azad University,Tehran,Iran

Habib，Salman,Ahmarinejad，Amir,Jia，Youwei. A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages[J]. Journal of Energy Storage,2023,70.

Habib，Salman,Ahmarinejad，Amir,&Jia，Youwei.(2023).A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages.Journal of Energy Storage,70.

Habib，Salman,et al."A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages".Journal of Energy Storage 70(2023).