4.6 Article

Research on System Planning of Gas-Power Integrated System Based on Improved Two-Stage Robust Optimization and Non-Cooperative Game Method

Journal

IEEE ACCESS
Volume 9, Issue -, Pages 79169-79181

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3083272

Keywords

Natural gas; Planning; Resistance heating; Wind power generation; Water heating; Games; Hydrogen; IES; game theory; P2G; collaborative planning; robust optimization

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The P2G technology enables the storage of electric energy in the form of natural gas, deepening the coupling between power and natural gas systems, leading to the emergence of an integrated energy system with the power grid at its core. A collaborative planning method based on non-cooperative game theory is proposed to address uncertainties in planning and optimize interests of manufacturers in the gas-electric system.
The power to gas (P2G) technology can realize the large-scale storage of electric energy in the form of natural gas, so that the power system and the natural gas system have the ability to flow energy, and the degree of coupling between the power system and the natural gas system is deepened. As the coupling between the power system and the natural gas system continues to increase, an integrated energy system (IES) with the power grid as the core has emerged. However, under uncertain conditions, the current planning methods still cannot guarantee the optimal interests of each manufacturer, so a collaborative planning method for gas-electric systems based on non-cooperative game theory is proposed. With each energy unit and electricity and gas network companies as independent interest groups, and with the maximum annual net income as the optimization goal, establishing a comprehensive non-combination of wind turbines, gas turbines, electric-to-gas turbines, transmission lines and natural gas pipelines in the gas-electric integrated system linear programming model. Aiming at the uncertainty of wind power and load, an improved two-stage robust optimization method is proposed. Finally, the modified IEEE 39-node power system and 20-node natural gas system gas-electric network verify the application value of the model and algorithm.

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