Power system equivalent inertia assessment method based on particle swarm optimization algorithm
A technology of particle swarm optimization and particle swarm algorithm, applied in the field of inertia evaluation, can solve the problem of low evaluation accuracy, achieve high accuracy, simple and fast calculation method, and eliminate the influence of power system inertia evaluation
Active Publication Date: 2019-06-21
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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[0005] The present invention aims at the problem that the current inertia evaluation method ignores the influence of the position of the inertia evaluation on the accuracy of the inertia evaluation, resulting in low evaluation accuracy. A method for evaluating the equivalent inertia of the power system based on the particle swarm optimization algorithm is proposed. The generator swing equation constructs the objective function, uses the particle swarm optimization algorithm to solve the inertial time constant of each generator, and then calculates the equivalent inertial time constant of the entire power system to improve the accuracy of the equivalent inertia evaluation of the entire system
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[0032] Generally, the inertia time constant (H) is used to characterize the size of the generator inertia. The inertial time constant of a generator is defined as the time during which the generator provides the rated power of the generator only by releasing the kinetic energy stored in the rotating mechanism, generally in seconds. The formula expression of the inertial time constant of the generator is shown in (1):
[0033]
[0034] Among them, J i is the moment of inertia of the i-th generator; ω 0 is the rated angular frequency of the generator; S i is the rated capacity of the i-th generator.
[0035] Assuming that the power system is a single-bus structure, that is, an equivalent generator is connected to an equivalent load through a bus, there is a definition formula for the equivalent inertia time constant of the power system:
[0036]
[0037] Among them, S sys is the total generator capacity of the power system.
[0038] In practice, the generator swing e...
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The invention relates to a power system equivalent inertia assessment method based on a particle swarm optimization algorithm. On the basis of different degrees of disturbance of a system, frequency characteristics of a load are ignored, a motor swing equation is used to construct an objective function, the particle swarm optimization algorithm is utilized to solve an inertia time constant of eachmotor, then an equivalent inertia time constant of the whole power system is calculated, and the precision of equivalent inertia assessment of the whole system is improved. Through the method, the influence of frequency change rate inconsistency on system equivalent inertia assessment under disturbance can be eliminated, the equivalent inertia time constant value of the system is calculated accurately, calculation speed is high, complexity is low, and the method has high practical value.
Description
technical field [0001] The invention relates to an online monitoring and control technology of a power system, in particular to a method for evaluating the equivalent inertia of a power system based on a particle swarm optimization algorithm. Background technique [0002] In recent years, in the face of the energy crisis, financial crisis, and mankind's increasingly clear understanding of the climate crisis, new energy has shown a trend of extraordinary development around the world. The investment in new energy by various countries has increased substantially, and the production capacity of new energy has also expanded rapidly. [0003] Renewable energy power generation is the core of new energy development, and wind power is the most competitive form of new energy in terms of technology and cost. Although new energy cannot replace traditional fossil energy in the short term, the tight supply and demand of resources worldwide and the global restrictions on greenhouse gas em...
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IPC IPC(8): H02J3/46
Inventor 李东东张佳乐赵耀刘振宇高晓城杨帆林顺富
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER