A Method for Optimizing and Scheduling Unit Hour Combination in Power System

Abstract

The invention discloses a method for hour combined optimization and dispatching of a power system set. The method comprises the steps of 1, generating a group of probable scenes by a Monte-Carlo simulation method in order to simulate uncertainty in a coordinated random model, and considering a load forecast error and random power-failure time of a power generator set and a power transmission lineunder all conditions, wherein each scene represents practicability of a power system assembly and constraint probability states of a hour power system load and a natural and power system and is used for providing given hour load quantity under each condition; and 2, introducing a hour economic demand response, used for managing a mutual dependence relation between the power system and natural gastransmission limitation, into the coordinated random model, improving expected social benefit to the greatest extent under the condition that current power and natural gas limitation is met, and determining hour set optimized combination and economic demand response time table by the coordinated random model. By the method, the technical problem that an accurate model is difficult to build for optimization and dispatching on the system due to system uncertainty and a power load forecast error during hour combined optimization and dispatching of the prior art on the power system is solved.

Description

technical field [0001] The invention belongs to the hours optimization scheduling technology of electric power system units, in particular to a method for hourly combination optimization and scheduling of electric power system units. Background technique [0002] When studying the day-ahead scheduling optimization problem of power system, most of the existing technologies focus on the day-ahead scheduling problem of power system taking into account wind power or wind power and water storage, but there is not much research on the day-ahead scheduling of interdependent power and natural gas transmission systems . In addition, the introduction of nonlinear natural gas network constraints greatly increases the difficulty of calculation and the feasibility of planning. And the unit combination model is constantly changing according to different application environments and system characteristics, and the main factors considered are the total operating costs and constraints of th...

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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a method for hourly combination optimization and scheduling of power system units to solve the difficulty in optimizing and scheduling power system unit hourly combinations due to system uncertainty and power load prediction errors in the prior art. Establish an accurate model to optimize scheduling and other technical issues

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