Multi-time Scale Low-carbon Economic Dispatch Of Integrated Electricity And Natural Gas Systems

With the development of economy and society,people's demand for energy is constantly increasing.At the same time,the ecological and environmental protection is a demanding job,so the proportion of clean energy generation is increasing.With the gradual grid connection of gas turbine,the electric power system and the natural gas system gradually present a trend of deep coupling,and the calculation model of the economic dispatch of integrated electricity and natural gas systems tends to be complex.The economic dispatch of integrated electricity and natural gas systems is a variable high-dimensional and multi-time optimization problem.Moreover,the electric power system and the natural gas system have their own dispatch control centers,making the exchange of information between the two systems limited.Aiming at the above problems,the idea of granular computing is introduced to solve the economic dispatch problem of integrated electricity and natural gas systems,and the complex problem is transformed into the equivalent simple structural problem by the appropriate granular method.The main work is as follows:Firstly,a basic analytical framework for the economic dispatch of integrated electricity and natural gas systems based on granular computing is constructed.Aiming at the problems of high variable and multi-time optimization in integrated electricity and natural gas systems,the dispatching problem is classified and divided in terms of time and structure to reduce the solving dimension and improve the solving speed.the modeling language and using method of YALMIP toolbox are introduced,and solves the economic dispatch of integrated electricity and natural gas systems are solved by invoking solver CPLEX.Secondly,a low-carbon economic dispatch fast strategy for integrated electricity and natural gas energy systems that considers the granulation of time periods is proposed.The strategy includes three stages: time period granularity division based on improved k-means clustering,coarse-grained dispatching optimization and granularity refinement of scheduling results.Aiming at the problems of high variable dimension,multiple solution time periods and slow convergence speed of joint solution in the low-carbon economic dispatch of integrated electricity and natural gas energy systems,multiple time periods are granulated into coarse time period particles based on the idea of granular computing to reduce the variable dimension and speed up the solution.The feasibility and effectiveness of the proposed strategy are verified by two examples.Finally,a multi-time scale low-carbon economic dispatch model for integrated electricity and natural gas energy systems is proposed.Aiming at the problem of limited information exchange between power and natural gas systems caused by information privacy,the idea of structural granulation is adopted to granulate the integrated electricity and natural gas energy systems into two subsystems,and the information exchange between the two systems is carried out using alternating direction multiplier method.A multi-time scale low-carbon economic dispatch model is built on the basis of structural granulation,so that each particle system follows its own time scale to solve the economic dispatch problem.Two examples are analyzed to verify the practicability and effectiveness of the strategy.