Hierarchical Optimal Operation for Integrated Energy System Based on Energy Hub

The integrated energy system(IES) has the characteristic of energy integrated/multi-energy coupling which involves heat, electricity, natural gas, and other various energy forms, which can realize maximize the synergistic effects and complementary benefits among various energy and the comprehensive utilization. In this paper, the day-ahead hierarchical optimal operation for IES coupling natural gas system, electricity transmission system and district heating system based on energy hub(EH) is studied. Firstly, the model architecture of EH with diversified storage devices, renewable energy and different energy conversion equipment is proposed and the steady state mathematical model of different energy networks in IES is developed, respectively. Secondly, the day-ahead operating cost of EH is minimized by optimizing strategy to maximize the benefits of all kinds of energy demand users, where different types of energy power input into EH can be obtained. Then, the day-ahead optimal operation mode for IES considering minimization of operating fuel cost index is proposed via energy management system giving various energy power data which are uploaded from EH. The numerical case verifies the validity of the day-ahead hierarchical optimal operation and steady state calculation analysis for IES.

[1]  Hongjie Jia,et al.  Dynamic Modeling and Interaction of Hybrid Natural Gas and Electricity Supply System in Microgrid , 2015, IEEE Transactions on Power Systems.

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

[3]  Pablo Dueñas Martínez,et al.  Electricity and natural gas interdependency: comparison of two methodologies for coupling large market models within the European regulatory framework , 2016 .

[4]  Mahmud Fotuhi-Firuzabad,et al.  A Decomposed Solution to Multiple-Energy Carriers Optimal Power Flow , 2014, IEEE Transactions on Power Systems.

[5]  Berna Dengiz,et al.  An integrated simulation model for analysing electricity and gas systems , 2014 .

[6]  Yusheng XUE,et al.  Optimal operation of electricity, natural gas and heat systems considering integrated demand responses and diversified storage devices , 2018 .

[7]  Pierluigi Mancarella,et al.  Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks , 2015, IEEE Transactions on Sustainable Energy.

[8]  Jianzhong Wu,et al.  Operating Strategies for a GB Integrated Gas and Electricity Network Considering the Uncertainty in Wind Power Forecasts , 2014, IEEE Transactions on Sustainable Energy.

[9]  Audrius Bagdanavicius,et al.  Combined analysis of electricity and heat networks , 2014 .

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

[11]  Hongjie Jia,et al.  Hierarchical management for integrated community energy systems , 2015 .

[12]  Mostafa Kazemi,et al.  Security constrained unit commitment with flexibility in natural gas transmission delivery , 2015 .

[13]  G. S. Piperagkas,et al.  Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and w , 2011 .

[14]  Michael Chertkov,et al.  Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures , 2017 .

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

[16]  C. R. Fuerte-Esquivel,et al.  A Unified Gas and Power Flow Analysis in Natural Gas and Electricity Coupled Networks , 2012, IEEE Transactions on Power Systems.

[17]  Jan Carmeliet,et al.  Optimization framework for distributed energy systems with integrated electrical grid constraints , 2016 .

[18]  Zhe Chen,et al.  Coordinated Operation of the Electricity and Natural Gas Systems with Bi-directional Energy Conversion , 2017 .