Two-Stage Stochastic Day-Ahead Market Clearing in Gas and Power Networks Integrated with Wind Energy

Document Type: Research Article

Authors

1 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.

2 Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, United Kingdom

3 Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark

Abstract

The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared to other traditional plants. Therefore, the integration of electrical and natural gas systems has great potential of enhancing the flexibility of power systems to incorporate more renewable power sources such as wind turbines. In this area, the uncertainty associated with wind speed has a meaningful impact on the optimal management of the generation units in power grids. This study proposes a stochastic market-based model for clearing of energy in interconnected power and gas systems with integration of wind power. Stochastic programming is developed for studying the uncertainty of wind power production using a normal distribution function in a two-stage model. It should be remarked that the proposed two-stage model covers the uncertainty of wind power generation and load demand in real-time dispatch determining the hourly scheduling of units in the first stage. It is expected that the operation cost of the integrated networks, local marginal pricing of the gas and power, and the load shedding will be increased by an increase in the residential gas load. The investigations showed a 4.2% increase of total operation cost of the integrated power and gas system by a 5% increase in the residential gas load.

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