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research-article

Modeling and operational optimization based on energy hubs for complex energy networks with distributed energy resources

[+] Author and Article Information
Shixi Ma

Gas Turbine Research Institute, Shanghai Jiao Tong University, Shanghai, P.R.China
mashixi@sjtu.edu.cn

Dengji Zhou

Gas Turbine Research Institute, Shanghai Jiao Tong University, Shanghai, P.R.China
ZhouDJ@sjtu.edu.cn

Huisheng Zhang

Gas Turbine Research Institute, Shanghai Jiao Tong University, Shanghai, P.R.China
zhslm@sjtu.edu.cn

Shilie Weng

Gas Turbine Research Institute, Shanghai Jiao Tong University, Shanghai, P.R.China
slweng@sjtu.edu.cn

Tiemin Shao

PetroChina Beijing Oil & Gas Pipeline Control Center, Beijing, P.R.China
stm@petrochina.com.cn

1Corresponding author.

ASME doi:10.1115/1.4041287 History: Received February 09, 2018; Revised August 13, 2018

Abstract

Energy hubs is an integrated system which is capable of transporting, transforming and storing several types of energy. A number of hubs can be combined as a network and achieve higher efficiency by exchanging information and energy with each other. A decision-making framework for optimal integration of independent small scale distributed energy systems and traditional large scale CHP power plants is presented, and an energy supply system with renewable energy resources in Shanghai is cited as a case study. A performance simulation model of this energy network is proposed based on energy hub concept and energy flow between its elements. Furthermore, a novel optimization method named Whales Optimization Algorithm (WOA) is presented for 24-hour operational optimization. Case study are undertaken on a 7-node energy system, including 4 energy hubs and 3 load hubs. The results of case study show that the proposed model and optimization method can improve energy utilization efficiency and reduce system operating costs, even under a system contingency condition.

Copyright (c) 2018 by ASME
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