Probabilistic Optimal Energy Flow of Urban Integrated Electrical Systems Considering Low Carbon Operation

The transition from coal to gas is a key aspect of the current energy structure adjustment, aimed at mitigating environmental pollution. The introduction of the “energy internet” has further strengthened the interconnection between natural gas networks and power systems. In this context, the authors propose a joint optimal energy flow model that considers the constraints of the natural gas network on power system operation, as well as their impact on the overall operational costs of the interconnected system. The model accounts for the uncertainty of input variables such as wind power output, electrical load, and gas load, and employs Latin hypercube sampling for probabilistic optimal energy flow calculation, enabling low-carbon operation of the electrical-gas interconnection system with wind power generation. The proposed model is evaluated through case studies on the improved IEEE 9-bus system and an 8-node natural gas network, assessing the impacts of different fluctuation levels on system operating characteristics.