Coordinated scheduling of a gas/electricity/heat supply network considering temporal-spatial electric vehicle demands

Abstract Renewable energy-based multi-energy supply microgrids are expected to play an important role in smart cities. How to schedule such microgrids in grid-connected mode and dispatch power among sources inside the microgrids is a problem. Moreover, as electric vehicles are becoming more and more common, the charging of large numbers of vehicles is also a challenge for the utility grid. In this paper, we build a temporal-spatial electric vehicle charging demand model, which includes three parts: trip plans, duration of stay, and search for the shortest path based on the Dijkstra algorithm. Then, we build a grid-connected gas/electricity/heat microgrid and present a coordinated scheduling method for this microgrid. A day-ahead scheduling method is used to decide the role of the microgrid (i.e., operate as a load or as a generator from the point of view of the utility), a real-time rolling-horizon dispatching algorithm is used to respond to the forecasting errors and at the same time implement the real-time actual power exchange between the microgrid and the main grid. The problem is formulated as a mixed integer linear programming problem. The temporal-spatial electric vehicle charging demands model is simulated based on a 81-node transportation network, while the energy supply network is a combined IEEE-30, gas-20 and heat-14 network. The simulation results show the effectiveness of this coordinated scheduling method.

[1]  Tao Jiang,et al.  Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process , 2017 .

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

[3]  Behnam Mohammadi-Ivatloo,et al.  Optimal economic dispatch of FC-CHP based heat and power micro-grids , 2017 .

[4]  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.

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

[6]  Johan Löfberg,et al.  Automatic robust convex programming , 2012, Optim. Methods Softw..

[7]  Efstratios N. Pistikopoulos,et al.  Energy production planning of a network of micro combined heat and power generators , 2013 .

[8]  Mohammad Reza Mohammadi,et al.  Optimal Scheduling of Energy Hubs in the Presence of Uncertainty-A Review , 2017 .

[9]  V. Modi,et al.  Examination of the optimal operation of building scale combined heat and power systems under disparate climate and GHG emissions rates , 2017 .

[10]  Xinwei SHEN,et al.  Comprehensive power-supply planning for active distribution system considering cooling, heating and power load balance , 2015 .

[11]  Taher Niknam,et al.  Multi-objective energy management of CHP (combined heat and power)-based micro-grid , 2013 .

[12]  Marouf Pirouti,et al.  Modelling and analysis of a district heating network , 2013 .

[13]  B. Mohammadi-ivatloo,et al.  Combined heat and power economic dispatch problem solution using particle swarm optimization with ti , 2013 .

[14]  Juan C. Vasquez,et al.  Microgrid supervisory controllers and energy management systems: A literature review , 2016 .

[15]  Wei Gu,et al.  A two-stage optimization and control for CCHP microgrid energy management , 2017 .

[16]  Abdellatif Miraoui,et al.  Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation , 2017 .

[17]  Abdellatif Miraoui,et al.  Microgrid sizing with combined evolutionary algorithm and MILP unit commitment , 2017 .

[18]  Hui Li,et al.  Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications , 2015, IEEE Transactions on Power Systems.

[19]  Malabika Basu.  Artificial immune system for combined heat and power economic dispatch , 2012 .

[20]  Jinye Zhao,et al.  A Unified Framework for Defining and Measuring Flexibility in Power System , 2016, IEEE Transactions on Power Systems.

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

[22]  Peng Wang,et al.  Dynamic electric vehicle charging load modeling: From perspective of transportation , 2013, IEEE PES ISGT Europe 2013.

[23]  Gevork B. Gharehpetian,et al.  A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives , 2018 .

[24]  Z. Wu,et al.  Economic optimal schedule of CHP microgrid system using chance constrained programming and particle swarm optimization , 2011, 2011 IEEE Power and Energy Society General Meeting.

[25]  S. Chowdhury,et al.  Planned Scheduling for Economic Power Sharing in a CHP-Based Micro-Grid , 2012, IEEE Transactions on Power Systems.

[26]  Erotokritos Xydas,et al.  Simulation of electric vehicle driver behaviour in road transport and electric power networks , 2017 .

[27]  Edoardo Amaldi,et al.  A detailed MILP optimization model for combined cooling, heat and power system operation planning , 2014 .

[28]  Chanan Singh,et al.  Optimal Deployment of Distributed Generation Using a Reliability Criterion , 2016 .

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

[30]  Y. Smeers,et al.  The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm , 2000 .

[31]  Lizhong Xu,et al.  A Multi Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution—Part I: Model and Methodology , 2015, IEEE Transactions on Power Systems.

[32]  Behnam Mohammadi-Ivatloo,et al.  Combined heat and power economic dispatch problem solution by implementation of whale optimization method , 2017, Neural Computing and Applications.

[33]  Abdellatif Miraoui,et al.  Optimal sizing of distributed generation in gas/electricity/heat supply networks , 2018 .