Electric power system dispatching method based on hybrid multi-objective lambda iteration method and Newton method

Abstract

The invention discloses an electric power system dispatching method based on the hybrid multi-objective lambda iteration method and the Newton method. The electric power system dispatching method comprises the following steps that 1) relevant data of each generator set of an electric power system are obtained; 2) a mathematical optimization model for the electric power system environmental economy scheduling problem is built; 3) an EED problem without regard to electric transmission line loss is solved by means of the multi-objective lambda iteration method, and Pareto optimal solutions are obtained; 4) each Pareto optimal solution is taken as an initial solution, an EDE problem with consideration to electric transmission line loss is solved by means of the Newton method, and an optimal solution set is obtained; 5) a final solution is determined in the optimal solution set by means of a multi-objective decision method; 6) the final solution is used as an instruction to be sent to a relevant power station or unit through an automatic generation control device, and unit electricity generation power is controlled through the automatic generation control device. The electric power system dispatching method based on the hybrid multi-objective lambda iteration method and the Newton method is small in calculated amount, short in calculating time, and high in convergence precision, and greatly improves the economy and efficiency of electricity generation of the electric power system.

Description

technical field [0001] The invention relates to a power system dispatching method, in particular to a power system dispatching method based on a hybrid multi-objective lambda iteration method and a Newton method, and belongs to the field of power system operation, analysis and dispatch. Background technique [0002] Economic dispatch is an important fundamental problem in power system [1][2][3] , as environmental pollution has become a global problem in recent years, power companies, which are the main source of pollutant emissions, are required to reduce pollutant emissions. Taking China as an example, thermal power units accounted for 42.5% and 38.0% of the total national SO2 and NOx emissions, respectively. In order to reduce emissions, one way is to install desulfurization and denitrification devices, and the other way is to choose a solution with less emissions in the optimal dispatch of power generation. For this reason, the traditional economic dispatch becomes a mu...

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Problems solved by technology

[0022] The purpose of the present invention is to solve the above-mentioned prior art that needs to set weighted values ​​between different objective functions. The penalty function values ​​corresponding to the constraint conditions are different for different systems, and need to be adjusted and set according to experience, and the solution accuracy cannot be guaranteed. The defect that it consumes a long calculation time provides a power system scheduling method based on hybrid multi-objective lambda iteration method and Newton method that is suitable for solving large-scale power system problems and can improve economic efficiency

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