Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow

Integrated energy systems (IESs) are under development for a variety of benefits. District electricity and heating systems (DEHSs) deliver electricity and heat, the most common energy demands, to end-users. This paper studies the interactions in a DEHS considering the time-scale characteristics. Interaction mechanisms of a DEHS are analyzed. A disturbance in one system influences another system through coupling components, depending on the disturbance, operating characteristics, and control strategies. A model of the main components in DEHSs is presented. The time scale characteristics are studied based on a dynamic comparison of the different components. Then the interaction process is divided into four stages; each is a quasi-steady state. A quasi-steady multi-energy flow model is proposed and calculated, with a heating network node type transformation technique developed. A case study with detailed results and discussion of 3 types of disturbance is presented to verify the methods. The results present the interactions between the electricity and the system. It is suggested that attention should be paid both on the fast hydraulic process and slow thermal process for system security and economic operation.

[1]  Pierluigi Mancarella,et al.  Multi-energy systems : An overview of concepts and evaluation models , 2015 .

[2]  Peter Lund,et al.  Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .

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

[4]  Pedro J. Mago,et al.  Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme , 2009 .

[5]  Qinghua Wu,et al.  Modelling and operation optimization of an integrated energy based direct district water-heating system , 2014 .

[6]  Hongbo Ren,et al.  A MILP model for integrated plan and evaluation of distributed energy systems , 2010 .

[7]  Fang Fang,et al.  A new operation strategy for CCHP systems with hybrid chillers , 2012 .

[8]  Alfredo Vaccaro,et al.  Multiple-Energy Carriers: Modeling of Production, Delivery, and Consumption , 2011, Proceedings of the IEEE.

[9]  Claudio R. Fuerte-Esquivel,et al.  A Robust Optimization Approach for the Interdependency Analysis of Integrated Energy Systems Considering Wind Power Uncertainty , 2013, IEEE Transactions on Power Systems.

[10]  Mark O'Malley,et al.  Energy Systems Integration: A Convergence of Ideas , 2012 .

[11]  Jianzhong Wu,et al.  Combined gas and electricity network expansion planning , 2014 .

[12]  J. McCalley,et al.  A Multiperiod Generalized Network Flow Model of the U.S. Integrated Energy System: Part I—Model Description , 2007, IEEE Transactions on Power Systems.

[13]  Helge V. Larsen,et al.  Probabilistic production simulation including combined heat and power plants , 1998 .

[14]  J. McCalley,et al.  A Multiperiod Generalized Network Flow Model of the U.S. Integrated Energy System: Part II—Simulation Results , 2007, IEEE Transactions on Power Systems.

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

[16]  Qiong Wu,et al.  Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects , 2010 .

[17]  Thomas Nuytten,et al.  Flexibility of a combined heat and power system with thermal energy storage for district heating , 2013 .

[18]  G. Andersson,et al.  Multi-energy delivery infrastructures for the future , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

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

[20]  Mark O'Malley,et al.  Energy Comes Together: The Integration of All Systems [Guest Editorial] , 2013 .

[21]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[22]  Henrik Madsen,et al.  Energy Comes Together in Denmark: The Key to a Future Fossil-Free Danish Power System , 2013, IEEE Power and Energy Magazine.