A scenario-based approach for the design of Smart Energy and Water Hub

Abstract To exploit various energy carriers simultaneously and optimal distribution of energy in smart electrical infrastructure, a smart energy hub (S. E. Hub) concept was emerged. Therefore, the S. E. Hub is an effective solution for creating an efficient energy system. This paper attempts to provide a new management framework for the smart island which consists of Smart Energy and Water Hub (S. E. W. Hub) and microgrid. Also, optimal planning of multiple energy infrastructures of S. E. W. Hub is done considering operational constraints. Furthermore, the impact of the microgrid which includes wind turbines (WTs), photovoltaic power plant (PVPP) and tidal generation on the optimal planning of the S. E. W. Hub is investigated. The planning minimizes the total investment and operation costs as well as the environmental pollutants costs. In the proposed management framework, the balancing of thermal, electrical and water energy is provided. Due to the uncertainties associated with the considered energy sources, an effective scenario-based method is provided to accurately model such uncertainty factors. The validation of the proposed approach is shown through different cases implemented on a real industrial building and the problem is solved in the GAMS environment using CPLEX solver.

[1]  Yongjun ZHANG,et al.  Energy hub modeling to minimize residential energy costs considering solar energy and BESS , 2017 .

[2]  Kankar Bhattacharya,et al.  Optimal Operation of Industrial Energy Hubs in Smart Grids , 2015, IEEE Transactions on Smart Grid.

[3]  Shahram Jadid,et al.  Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system , 2015 .

[4]  D. Habibi,et al.  Optimal scheduling in a microgrid with a tidal generation , 2019, Energy.

[5]  Behnam Mohammadi-Ivatloo,et al.  Stochastic risk-constrained scheduling of smart energy hub in the presence of wind power and demand response , 2017 .

[6]  Martin Braun,et al.  Optimization of microgrids short term operation based on an enhanced genetic algorithm , 2015, 2015 IEEE Eindhoven PowerTech.

[7]  Kankar Bhattacharya,et al.  Optimal Operation of Residential Energy Hubs in Smart Grids , 2012, IEEE Transactions on Smart Grid.

[8]  Mahmoud M. El-Halwagi,et al.  A fuzzy mixed‐integer linear programming model for optimal design of polygeneration systems with cyclic loads , 2016 .

[9]  Kankar Bhattacharya,et al.  A Sustainable Energy Management System for Isolated Microgrids , 2017, IEEE Transactions on Sustainable Energy.

[10]  T. Niknam,et al.  Scenario-Based Multiobjective Volt/Var Control in Distribution Networks Including Renewable Energy Sources , 2012, IEEE Transactions on Power Delivery.

[11]  Ali Mohammad Ranjbar,et al.  A scenario-based optimization of Smart Energy Hub operation in a stochastic environment using conditional-value-at-risk , 2018 .

[12]  Behnam Mohammadi-Ivatloo,et al.  Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response , 2017 .

[13]  Ali Mohammad Ranjbar,et al.  Demand side management for a residential customer in multi-energy systems , 2016 .

[14]  Russell Bent,et al.  Security-Constrained Design of Isolated Multi-Energy Microgrids , 2018, IEEE Transactions on Power Systems.

[15]  Ali Mohammad Ranjbar,et al.  Financial analysis and optimal size and operation for a multicarrier energy system , 2012 .

[16]  A. Sheikhi,et al.  CHP optimized selection methodology for an energy hub system , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[17]  Kazem Zare,et al.  Optimal scheduling of heating and power hubs under economic and environment issues in the presence of peak load management , 2018 .

[18]  Mohsen Saniei,et al.  Optimal bidding strategy for an energy hub in energy market , 2018 .

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

[20]  José Villar,et al.  Synergies of Electric Urban Transport Systems and Distributed Energy Resources in Smart Cities , 2018, IEEE Transactions on Intelligent Transportation Systems.

[21]  Yi Wang,et al.  Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch , 2018 .

[22]  Enrico Fabrizio,et al.  A model to design and optimize multi-energy systems in buildings at the design concept stage , 2010 .

[23]  Ali Mohammad Ranjbar,et al.  Optimising operational cost of a smart energy hub, the reinforcement learning approach , 2015, Int. J. Parallel Emergent Distributed Syst..

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

[25]  Babak Mozafari,et al.  Resilience oriented water and energy hub scheduling considering maintenance constraint , 2018, Energy.

[26]  Ahmad Sadeghi Yazdankhah,et al.  Scenario-based stochastic optimal operation of wind, photovoltaic, pump-storage hybrid system in frequency- based pricing , 2015 .

[27]  Yongjun Zhang,et al.  Optimal operation of energy hub in competitive electricity market considering uncertainties , 2018 .

[28]  Alfredo Vaccaro,et al.  Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic , 2019 .

[29]  Josep M. Guerrero,et al.  Optimal Operation of an Energy Hub in the Presence of Uncertainties , 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[30]  Michele Pinelli,et al.  Optimal sizing of a multi-source energy plant for power heat and cooling generation , 2014 .