Bi-level Optimal Capacity Configuration for Power to Gas Facilities Considering Operation Strategy and Investment Subject Benefit

作者：Xu, Zhiheng; Zhang, Yongjun^*; Chen, Zexing; Lin, Xiaoming; Chen, Boda

来源：Automation of Electric Power Systems, 2018, 42(13): 76-84.

DOI：10.7500/AEPS20170713011

• Bi-level programming
• Conditional Value-at-Risk
• Electricity system
• Interior-point method
• Large-scale interconnections
• Natural gas networks
• Power to gas (P2G)
• Wind power accommodations

As the development of power to gas (P2G) technology, the coupling between the power grid and the natural gas network become closer and closer. It is possible to achieve large-scale interconnection between these two energy systems. Based on the theory of conditional value at risk (CVaR), this paper analyzes the operational risk and cost of the integrated natural gas and electricity system caused by wind power uncertainty. Considering the two independent stakeholders composed by the wind power enterprise and the integrated natural gas and electricity system, this paper proposes a bi-level optimal capacity configuration model for P2G facilities. In this model, the objective of upper level is the maximal profit of wind power enterprise, and that of the lower level is the minimum total cost of integrated natural gas and electricity system. Then the proposed model is solved by a hybrid approach based on the genetic-catastrophic algorithm and the interior point method. The simulation system consists of an IEEE 39-bus system and a Belgian 20-bus gas network. The feasibility of configuring P2G facilities to increase the wind power accommodation and decrease the risk of abandoning wind power is verified. Furthermore, the influences of confidence coefficient and cost coefficient for risk of abandoning wind power on P2G configuration strategy and system operation are analyzed.

• 出版日期2018-7-10
• 单位华南理工大学