Integrated port energy system considering integrated demand response and energy interconnection

Abstract This paper proposes a framework for modeling an integrated port energy system (IPES). A configuration and sizing model of energy hub (EH) is built for the port area considering integrated demand response (IDR) and energy interconnection (EI). A comparative study of five different planning scenarios, traditional energy supply solution, EH solution, EH with IDR, EH with EI, and EH with both IDR and EI are conducted to identify the best option for minimizing the total planning cost of an IPES. Furthermore, the daily operating conditions of EHs are discussed and sensitivity analyses with varying energy prices, line loss rates, and IDR participation rates are performed to demonstrate the robustness of the model. The impacts of the uncertainties of ships using shore-side power on planning costs are also analyzed. Based on the proposed methods, numerical simulation results show the effectiveness of the EHs with multiple energy infrastructures in the IPES. In addition, after considering IDR and EI, the total planning cost decreases significantly, which demonstrates the necessity and benefits of IDR and EI.

[1]  F. Graf,et al.  Renewable Power-to-Gas: A technological and economic review , 2016 .

[2]  Edmund Widl,et al.  Studying the potential of multi-carrier energy distribution grids: A holistic approach , 2018, Energy.

[3]  Sean B. Walker,et al.  Modeling and optimization of a network of energy hubs to improve economic and emission considerations , 2015 .

[4]  Mohammad Shahidehpour,et al.  Decentralized Contingency-Constrained Tie-Line Scheduling for Multi-Area Power Grids , 2017, IEEE Transactions on Power Systems.

[5]  Luisa Varriale,et al.  Key performance indicators for developing environmentally sustainable and energy efficient ports: Evidence from Italy , 2018, Energy Policy.

[6]  Chongqing Kang,et al.  Review and prospect of integrated demand response in the multi-energy system , 2017 .

[7]  Rickard Bergqvist,et al.  A global review of the hinterland dimension of green port strategies , 2018 .

[8]  J. Wasilewski,et al.  Integrated modeling of microgrid for steady-state analysis using modified concept of multi-carrier energy hub , 2015 .

[9]  Ching-Ming Lai,et al.  Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems , 2018 .

[10]  Behnam Mohammadi-Ivatloo,et al.  Optimal Stochastic Design of Wind Integrated Energy Hub , 2017, IEEE Transactions on Industrial Informatics.

[11]  Yue Qi,et al.  Ship arrival prediction and its value on daily container terminal operation , 2018, Ocean Engineering.

[12]  Ibrahim S. Seddiek,et al.  Fuel saving and emissions cut through shore-side power concept for high-speed crafts at the red sea in egypt , 2013 .

[13]  Zheng Li,et al.  An engineering approach to the optimal design of distributed energy systems in China , 2013 .

[14]  Shahab Bahrami,et al.  From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub , 2016, IEEE Transactions on Smart Grid.

[15]  Shahab Bahrami,et al.  A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System , 2013 .

[16]  L. Martirano,et al.  Wise port & business energy management: Portfacilities, electrical power distribution , 2014, 2014 IEEE Industry Application Society Annual Meeting.

[17]  Mehdi Abapour,et al.  MINLP Probabilistic Scheduling Model for Demand Response Programs Integrated Energy Hubs , 2018, IEEE Transactions on Industrial Informatics.

[18]  Min Gao,et al.  Probabilistic Model Checking and Scheduling Implementation of an Energy Router System in Energy Internet for Green Cities , 2018, IEEE Transactions on Industrial Informatics.

[19]  Samaneh Pazouki,et al.  Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty , 2016 .

[20]  Ali Mohammad Ranjbar,et al.  Integrated Demand Side Management Game in Smart Energy Hubs , 2015, IEEE Transactions on Smart Grid.

[21]  Hamza Abunima,et al.  Impact of Demand-Side Management on the Reliability of Generation Systems , 2018 .

[22]  Lingfeng Wang,et al.  Real-Time Rolling Horizon Energy Management for the Energy-Hub-Coordinated Prosumer Community From a Cooperative Perspective , 2019, IEEE Transactions on Power Systems.

[23]  Jiashen Teh,et al.  Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System , 2018, Energies.

[24]  Hamdi Abdi,et al.  A general model for energy hub economic dispatch , 2017 .

[25]  Abtin Ataei,et al.  Design and optimization of CCHP system incorporated into kraft process, using Pinch Analysis with pressure drop consideration , 2013 .

[26]  Kashif Mehmood,et al.  Integrated Energy System Modeling of China for 2020 by Incorporating Demand Response, Heat Pump and Thermal Storage , 2019, IEEE Access.

[27]  Abdullah Abusorrah,et al.  Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures , 2015, IEEE Transactions on Smart Grid.

[28]  Beibei Wang,et al.  Chance constrained unit commitment considering comprehensive modelling of demand response resources , 2017 .

[29]  Sadegh Vaez-Zadeh,et al.  Optimal planning of energy hubs in interconnected energy systems: a case study for natural gas and electricity , 2015 .

[30]  Kenan Yiğit,et al.  A new electrical energy management approach for ships using mixed energy sources to ensure sustainable port cities , 2018, Sustainable Cities and Society.