Research on Wind Power Accommodation for an Electricity-Heat-Gas Integrated Microgrid System With Power-to-Gas

With the development of new energy on a large scale, the application of power-to-gas (P2G) technology provides novel ideas for the consumption of renewable energy such as wind power. This paper proposes a nonlinear optimal model of wind power accommodation for an electricity-heat-gas integrated microgrid with P2G, taking the minimum operating cost, the minimum wind curtailment, and the minimum comprehensive cost as objectives. On the basis of meeting the demand for electricity, heat and gas loads, the security constraints of the electricity microgrid, and the gas network are considered in connection with the operating characteristics of the P2G devices. The optimization software GAMS is used to solve this model. Finally, the integrated system of a 14-bus microgrid and a modified 20-bus gas network is adopted for demonstrating the effectiveness of the application of the P2G to improve wind power accommodation capability.

[1]  Mohammad Taghi Ameli,et al.  Coordinated Operation of Natural Gas and Electricity Networks With Microgrid Aggregators , 2018, IEEE Transactions on Smart Grid.

[2]  David Kendrick,et al.  GAMS, a user's guide , 1988, SGNM.

[3]  F. Graf,et al.  Renewable Power-to-Gas: A technological and economic review , 2016 .

[4]  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.

[5]  Wencong Su,et al.  Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources , 2014, IEEE Transactions on Smart Grid.

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

[7]  Zhe Chen,et al.  Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion , 2016 .

[8]  William D'haeseleer,et al.  The use of the natural-gas pipeline infrastructure for hydrogen transport in a changing market structure , 2007 .

[9]  Zhaohong Bie,et al.  Assessing wind curtailment under different wind capacity considering the possibilistic uncertainty of wind resources , 2016 .

[10]  Han Li,et al.  Optimal energy management for industrial microgrids with high-penetration renewables , 2017 .

[11]  J. Munoz,et al.  Natural gas network modeling for power systems reliability studies , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[12]  Pierluigi Mancarella,et al.  Storing renewables in the gas network: modelling of power-to-gas seasonal storage flexibility in low-carbon power systems , 2016 .

[13]  Zhi WU,et al.  A robust optimization method for energy management of CCHP microgrid , 2018 .

[14]  E. Kötter,et al.  The geographic potential of Power-to-Gas in a German model region - Trier-Amprion 5 , 2015 .

[15]  G. V. van Kooten,et al.  Economic costs of managing of an electricity grid with increasing wind power penetration , 2009 .

[16]  Ned Djilali,et al.  Modeling framework and validation of a smart grid and demand response system for wind power integration , 2014 .

[17]  Mohammad SHAHIDEHPOUR,et al.  Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration , 2017 .

[18]  Xiaodan Wang,et al.  Multi-objectives combined electric heating dispatch model of wind power accommodation with heat storage device , 2017 .

[19]  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 .

[20]  Christian Breyer,et al.  Power-to-Gas as an Emerging Profitable Business Through Creating an Integrated Value Chain , 2015 .

[21]  Zhenqing Sun,et al.  China's energy development strategy under the low-carbon economy , 2010 .