Research On Data-driven Robust Operation Method Of Integrated Electric-Heat Systems

In recent years,the installed capacity and the proportion of electricity generated by new energies such as wind and solar in our country’s power system has continued to rise,and the randomness and uncertainty of its output have put forward higher requirements for the flexibility of power system operation.As a new type of energy system that integrates the production,transmission and consumption of multiple heterogeneous energy sources,the integrated energy system can not only improve the comprehensive energy utilization efficiency,but also realize the mutual support for heterogeneous energy system operational flexibility through multi-energy conversion equipment.The integrated electric-heat system is currently the most widely used form of integrated energy system in our country.It is expected to enhance the power system’s ability to cope with the uncertainty of wind and solar power generation and improve the level of wind and solar energy consumption.From a data-driven perspective,this paper studies the impact of wind and solar power generation uncertainty on the operation decision-making of the integrated electric-heat system.The specific research work is summarized as follows:(1)Data-driven uncertainty modeling:The uncertain factors of the source,grid,and load side in the integrated electric-heat system have temporal and spatial correlation.Based on the convex hull technology and the hyperplane technology,two types of uncertainty are proposed to improve the conservativeness of traditional uncertainty models.Finally,the constructed uncertainty models are evaluated to verify their high coincidence to the uncertainty actual data,and the influence of the models on the calculation performance of the operating strategy is analyzed.(2)The wind power generation admissibility assessment of the integrated electric-heat systems:The uncertainty model based on convex hull technology is used to describe the uncertainty of wind power,and a two-stage robust model of wind power generation admissibility assessment based on the integrated electric-heat system is proposed.In the solution method,an approximated convex hull uncertainty set is used to overcome the problem about the generation of convex hull in high-dimensional space,a uniform-compression-expression scheme for the worst case is developed to establish the connection between the identified worst scenarios and the uncertain boundaries of the current iteration,and the corresponding improvements are made to the traditional column-and-constraint generation algorithm.(3)the unit commitment optimization of integrated electric-heat systems:To release the flexibility of the combined heat-and-power units and alleviate the uncontrollable calculation pressure of the uncertainty model based on convex hull technology,the uncertainty model based on hyperplane technology is used to represent the double uncertainties which are ambient temperature of the heating pipelines and wind power generation,and a two-stage robust unit commitment optimization model based on the integrated electric-heat systems is proposed.In the solution method,a valid cutting plane based the worst scenario is proposed to complete the connection between the decision problems in pre-dispatch and re-dispatch phases,a feasible region reduction method is proposed to reduce cost of calculation and analysis of the second-stage problem,and a solution framework based on the column-and-constraint generation algorithm is designed.In summary,based on the basic idea of data-driven,this paper has carried out research from the aspects of uncertainty modeling and analysis of the impact of uncertainty on the real-time and day-ahead multi-time scale decision-making of the integrated electric-heat system.The data-driven robust operation method of the integrated electric-heat system is proposed,which has reference significance for the current and future power system operation decision-making with a high proportion of wind and solar power access.