A cost-emission framework for hub energy system under demand response program

Based on the kind of fuel consumed by generation unit, each generation system has different generation costs and emits various types of greenhouse gases like CO2, SO2 and NO2 to the atmosphere. So, nowadays in the power system scheduling, emission issue has been turned to be an important factor. In this paper, in addition to economic performance, emission problem of energy hub system has been also investigated. Therefore, a multi-objective optimization model has been proposed for cost-environmental operation of energy hub system in the presence of demand response program (DRP). Weighted sum approach has been employed to solve the proposed multi-objective model and fuzzy satisfying technique has been implemented to select the best compromise solution. Implementation of load management programs presented by DRP shifts some percentage of load from peak periods to off-peak periods to flatten load curve which leads to reduction of total cost and emission of energy hub system. A mixed-integer linear programming has been used to model the cost-environmental performance problem of energy hub system and then, GAMS optimization software has been utilized to solve it. A sample energy hub system has been studied and the obtained results have been compared to validate the effectiveness of proposed techniques.

[1]  Moataz Elsied,et al.  Energy management and optimization in microgrid system based on green energy , 2015 .

[2]  Abdullah Al-Sharafi,et al.  Performance assessment of hybrid power generation systems: Economic and environmental impacts , 2017 .

[3]  Jean-Louis Scartezzini,et al.  Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid , 2017 .

[4]  Florian Kienzle,et al.  Valuing Investments in Multi-Energy Conversion, Storage, and Demand-Side Management Systems Under Uncertainty , 2011, IEEE Transactions on Sustainable Energy.

[5]  Alberto Mirandola,et al.  Components design and daily operation optimization of a hybrid system with energy storages , 2016 .

[6]  Tarek Y. ElMekkawy,et al.  Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach , 2014 .

[7]  Hamdi Abdi,et al.  Optimal operation of multicarrier energy systems using Time Varying Acceleration Coefficient Gravitational Search Algorithm , 2016 .

[8]  Shahab Bahrami,et al.  Efficient operation of energy hubs in time-of-use and dynamic pricing electricity markets , 2016 .

[9]  Sayyad Nojavan,et al.  Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation , 2016 .

[10]  Samaneh Pazouki,et al.  Market Based Short Term Scheduling in Energy Hub in Presence of Responsive Loads and Renewable Resources , 2013 .

[11]  Jan Carmeliet,et al.  New formulations of the ‘energy hub’ model to address operational constraints , 2014 .

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

[13]  Samaneh Pazouki,et al.  Market based operation of a hybrid system including wind turbine, solar cells, storage device and interruptable load , 2013, 18th Electric Power Distribution Conference.

[14]  Sayyad Nojavan,et al.  Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program , 2017 .

[15]  Dong Gu Choi,et al.  Technical and economic potential of highly efficient boiler technologies in the Korean industrial sector , 2017 .

[16]  Moataz Elsied,et al.  Optimal economic and environment operation of micro-grid power systems , 2016 .

[17]  Kazem Zare,et al.  Risk-based optimal performance of a PV/fuel cell/battery/grid hybrid energy system using information gap decision theory in the presence of demand response program , 2017 .

[18]  Hongjie Jia,et al.  Hierarchical energy management system for multi-source multi-product microgrids , 2015 .

[19]  Jan Carmeliet,et al.  Multiobjective optimisation of energy systems and building envelope retrofit in a residential community , 2017 .

[20]  Ali Reza Seifi,et al.  Multi-objective operation management of a multi-carrier energy system , 2015 .

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

[22]  M.-R. Haghifam,et al.  Reliability and availability modelling of combined heat and power (CHP) systems , 2011 .

[23]  Ali Reza Seifi,et al.  Effects of district heating networks on optimal energy flow of multi-carrier systems , 2016 .

[24]  Javier Contreras,et al.  Medium-term energy hub management subject to electricity price and wind uncertainty , 2016 .

[25]  Spyros Skarvelis-Kazakos,et al.  Multiple energy carrier optimisation with intelligent agents , 2016 .

[26]  G. Andersson,et al.  Optimal Power Flow of Multiple Energy Carriers , 2007, IEEE Transactions on Power Systems.

[27]  Abbas Rabiee,et al.  Probabilistic Multi Objective Optimal Reactive Power Dispatch Considering Load Uncertainties Using Monte Carlo Simulations , 2015 .

[28]  Zhao Yang Dong,et al.  Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response , 2016 .

[29]  Gülçin Büyüközkan,et al.  Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations , 2017 .

[30]  Ali Reza Seifi,et al.  Simultaneous integrated optimal energy flow of electricity, gas, and heat , 2015 .

[31]  Albert Moser,et al.  Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response , 2014 .

[32]  Alberto Mirandola,et al.  A model for the optimal design and management of a cogeneration system with energy storage , 2016 .

[33]  Kazem Zare,et al.  A multi-objective model for optimal operation of a battery/PV/fuel cell/grid hybrid energy system using weighted sum technique and fuzzy satisfying approach considering responsible load management , 2017 .

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

[35]  Sayyad Nojavan,et al.  A cost-emission model for fuel cell/PV/battery hybrid energy system in the presence of demand response program: ε-constraint method and fuzzy satisfying approach , 2017 .

[36]  Elaheh Mashhour,et al.  A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building , 2016 .

[37]  Gil Georges,et al.  Design analysis of gas engine combined heat and power plants (CHP) for building and industry heat demand under varying price structures , 2017 .