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Transient stabilized constraint tide optimization process based on differential equality constraint conversion order reduction

An equation-constrained and transient-stabilized technology, applied in AC network circuits, instruments, electrical components, etc., can solve problems such as insolvability, excessive calculation time, the scale of the correction equation system, and the increase in the number of faults, etc. Achieve the effect of improving algorithm efficiency and ensuring calculation accuracy

Inactive Publication Date: 2009-07-08
ZHEJIANG UNIV
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Problems solved by technology

[0004] The transient stability constrained power flow optimization method based on time domain simulation differentiates the motion equation of the generator rotor and adds it to the original optimization problem as an additional equality constraint. This processing method makes the dimension of the modified equations increase with the system scale and fault individual The number rises sharply, resulting in long calculation time and even unsolvable

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  • Transient stabilized constraint tide optimization process based on differential equality constraint conversion order reduction
  • Transient stabilized constraint tide optimization process based on differential equality constraint conversion order reduction
  • Transient stabilized constraint tide optimization process based on differential equality constraint conversion order reduction

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Embodiment

[0030] Consider the transient stability constrained power flow optimization problem with multi-prediction faults in the form of (1):

[0031] obj. minf(x)

[0032] s.t. h(x)=0 (1)

[0033] g min ≤g(x)≤g max

[0034] In the formula, f(x) is the objective function of the optimization problem; h(x) is the equality constraint including the difference equation describing the transient process; g(x) is the inequality constraint including the transient stability criterion; g max and g min are the upper and lower bounds of the inequality constraints, respectively.

[0035] The control variables in this optimization problem include the output P of the adjustable active and reactive sources G , Q R And the transformation ratio T of the tap adjustable transformer, the state variables include the real part and imaginary part of the node voltage e, f, the constant potential E′ of the generator, the initial value of the power angle δ 0 , and the power angle and electrical angular ve...

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Abstract

The invention discloses a transient stability constraint power system flow optimization method a based on a difference equation constraint transformation order-reduction technology. The method comprises the following steps: after the transient stability constraint is considered, a considerable amount of state variables are increased for the flow optimization problem of the power system, and the scale of the problems is greatly increased; if a plurality of contingencies are considered at the same time, the curse of dimensionality possibly appears, so that the optimization problem cannot be explained. The invention transforms the partial or all the difference equations into inequality equations according to the demands of the realistic accuracy, and selects the inequality equations relative to the precision of the difference method to restrain the upper and lower limits. The computation time can be obviously reduced by dealing with the flow optimization problem. The method can handle the flow optimization problem of the power system with multi-contingency transient stability constraint considered in the larger-scale power system.

Description

technical field [0001] The invention belongs to the technical field of power system operation, analysis and scheduling, and in particular relates to a transient stability constrained power flow optimization method based on differential equation constrained transformation and order reduction technology. Background technique [0002] With the rapid development of the power industry and the in-depth reform of the power market, the structure, scale and operation of the power system have undergone complex changes. In the power market environment, the traditional power flow optimization method that only considers static security constraints makes the system operating point more likely to approach the stability limit, which cannot meet the requirements of modern power system planning and operation. The literature "New Advances in Transient Stability Prevention Control and Optimization" points out that power flow optimization is a large-scale nonlinear programming problem. After con...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06Q50/00
Inventor 江全元黄志光耿光超
Owner ZHEJIANG UNIV
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