Method for optimizing electric-quantity-constrained monthly unit commitment and based on induction target function

Abstract

The invention discloses a method for optimizing electric-quantity-constrained monthly unit commitment and based on an induction target function and belongs to the technical field of power dispatching automation. The method includes building a mathematical model of a monthly unit commitment plan according to unit commitment basic data, building a mathematical model of a loose monthly unit commitment plan and calculating the model to obtain the loose monthly unit commitment plan, counting the number of start-stop variables with the value as 0 or 1 in the loose monthly unit commitment plan, building the induction target function of the mathematical model of the loose monthly unit commitment plan, conducting iteration optimization till the number of the start-top variables with the value as 0 or 1 stops increasing, adopting the induction target function to obtain the monthly unit commitment plan, conducting further optimization if a deviation factor of the monthly unit commitment plan is larger than a deviation threshold and finishing optimization otherwise. The method can be used for optimizing the electric-quantity-constrained monthly unit commitment plan, calculation efficiency is remarkably improved, and the method has important practical significance and good application prospects.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching automation, and in particular provides an optimization method for monthly unit combination with electricity constraints based on an induced objective function. Background technique [0002] Power dispatching is an important means for the power grid to adopt various optimization control technologies, coordinate various power generation resources, maintain the balance between supply and demand, and ensure the safe and economical operation of the power grid. The essence of power dispatching work is a kind of control problem of coordinating and arranging power production from the time and space dimensions under the condition of limited power generation and transmission resources within a certain time scale. According to different time scales, it can be divided into scheduling problems such as annual, monthly, day-ahead, intraday, and real-time. Scheduling problems with different tim...

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Problems solved by technology

However, this method aims to minimize the deviation between the power generation of the unit and the expected power. It can only ensure that the power generation of the unit is relatively close to the expected power on the whole, and cannot guarantee that the optimization result strictly meets the power constraints of each unit.

The optimization of the monthly unit combination plan with electricity constraints is essentially a large-scale mixed integer programming problem with strict constraints and difficult optimization, and it is difficult to efficiently obtain the optimal solution; The company realizes the demand for optimal allocation of power generation resources through the monthly unit combination plan

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