Multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight

A multi-objective optimization and optimal scheduling technology, applied in system integration technology, information technology support systems, instruments, etc., can solve problems such as non-convex, discrete, nonlinear search space

Active Publication Date: 2020-02-21
STATE GRID SICHUAN ECONOMIC RES INST
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Problems solved by technology

However, most of the objectives of power system scheduling are difficult to combine in an objective function expression in this way, and multiple objective

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  • Multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight
  • Multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight
  • Multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight

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Embodiment

[0078] Such as figure 1 as shown,

[0079] A multi-objective active power optimization scheduling method of linear relaxation and proportional weight, comprising the following steps:

[0080] Establish the mathematical model of multi-objective active power optimal dispatching in power system;

[0081] The mathematical model of multi-objective active power optimal scheduling is simplified by model variable and constraint deletion method, and a mixed integer quadratic convex programming model is obtained;

[0082] Perform linearized relaxation line loss constraint processing on the quadratic convex programming model, and solve the processed quadratic convex programming model, and judge whether the solution result satisfies the equality constraint or threshold:

[0083] (a) If all the results satisfy the equality constraints or thresholds, the multi-objective optimization method with proportional weights is used to solve the quadratic convex programming model with linearized re...

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Abstract

The invention discloses a multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight. The method comprises the following steps of: establishing a mathematical model of multi-target active power optimization scheduling of a power system; simplifying the mathematical model of multi-target active power optimization scheduling by using a model variable and constraint deletion method to obtain a quadratic convex programming model; adopting linear relaxation line loss constraints for the quadratic convex programming model, performing solving and determining, and if all the line loss constraints meet equation constraints or threshold values, solving the quadratic convex programming model subjected to linear relaxation line loss constraints through adoption of a proportional weight multi-objective optimization method; otherwise, performing mixed integer programming processing on the line loss constraints which do not meet the equalityconstraints or threshold values until all the line loss constraints meet the equality constraints or threshold values. The invention aims to provide the multi-target active power optimization scheduling method and system based on linear relaxation and proportional weight, the complexity of multi-target optimization calculation can be effectively reduced, and both the calculation efficiency and the result accuracy are considered.

Description

technical field [0001] The invention relates to the technical field of power system optimal dispatching, in particular to a linear relaxation and proportional weight multi-objective active power optimal dispatching method and system. Background technique [0002] The optimization problem of traditional power system dispatch involves many different aspects. First of all, the power system needs to operate in a safe and stable environment. The stability is reflected in the following aspects: the system frequency is maintained at the power frequency, the generator node and load node voltage are kept within their respective specified ranges, the active and reactive output of the generator does not exceed the limit, and the power equipment does not overheat. Second, dispatchers need to consider the economics of the entire grid. Therefore, reducing the coal consumption of generators and reducing the loss of transmission lines are indispensable goals when formulating dispatching s...

Claims

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Application Information

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IPC IPC(8): H02J3/48G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q50/06H02J3/48Y02E40/70Y04S10/50
Inventor 曾鉴雷云凯杨新婷欧阳雪彤晁化伟李奥苏韵掣刘方唐权胥威汀
Owner STATE GRID SICHUAN ECONOMIC RES INST
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