A Real-Time Active Power Scheduling Method Considering Wind Power Prediction Error

A prediction error, wind turbine technology, applied in wind power generation, electrical components, circuit devices, etc., can solve the problem of large wind power prediction error, and achieve the effect of improving calculation efficiency, ensuring power balance and network security constraints

Active Publication Date: 2017-04-19
SOUTHEAST UNIV
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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a method for real-time dispatching of unit active power considering wind power forecasting errors, which is used to solve the problem of large wind power forecasting errors during real-time dispatching in the existing power system economic dispatching question

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  • A Real-Time Active Power Scheduling Method Considering Wind Power Prediction Error
  • A Real-Time Active Power Scheduling Method Considering Wind Power Prediction Error
  • A Real-Time Active Power Scheduling Method Considering Wind Power Prediction Error

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[0069] The present invention uses the IEEE24 node system as a calculation example, and the network topology of the system is as follows figure 2 shown. The buffer units are units No. 21, 22, 23, 24, 25, and 26, and the maximum output adjustment of the buffer units is 30% of its maximum output. The access points of the wind farm are nodes 1, 2, 7, 15, 16, and 23, and the percentages of wind power capacity at each access point to the total output of the wind farm are 15%, 15%, 15%, and 15% respectively , 20%, 20%. The wind power prediction error of each wind farm 15 minutes in advance obeys the Laplace probability distribution, and the parameter λ of the corresponding probability density function is 38.22. The wind power database in the ERCOT database is used to generate wind power forecast information for 96 periods, and the total annual average wind power is 263.9558MW.

[0070] After the MATLAB simulation, the real-time scheduling and buffer unit output adjustment in 96 h...

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Abstract

The invention discloses an electric system active power real-time dispatching method considering wind power prediction error. The electric system active power real-time dispatching method comprises the following steps of describing random distribution character of the wind power prediction error by using Laplace distribution; by taking economic efficiency optimum and wind curtailment minimum as two targets, introducing a chance constraint condition; solving active power flow probability distribution of a system on the basis of a probabilistic power flow method for Latin hypercube sampling; establishing a buffer generator set active power optimum allocation model considering the wind power prediction error, and solving a chance constraint planning model by adopting an improved genetic algorithm. According to the electric system active power real-time dispatching method disclosed by the invention, the wind power prediction error is considered during real-time dispatching, power unbalance and flow off-limit brought to the system by wind power output offset can be avoided, and the safe operation of the system is guaranteed; moreover, while the wind power prediction error is assimilated, the wind power accepting ability is increased by the system.

Description

technical field [0001] The invention relates to the field of operation control of a power grid, in particular to a dispatching method of a wind power new energy grid. Background technique [0002] In recent years, with the increasing adjustment of domestic power supply structure and the rapid development of new energy power generation technology, the capacity of connecting to the power grid has increased. However, due to the inherent randomness and volatility of wind power generation, when it is connected to the system on a large scale, it will seriously affect the operation of the power grid and even endanger the safety of the power grid. [0003] The economical dispatching problem of power system aims at economical optimization, and it is an optimization problem that satisfies the system power balance and operation constraints. In recent years, according to the idea of ​​"multi-level coordination and level-by-level refinement", the control is divided into four stages: day...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/48
CPCH02J3/386H02J3/48H02J2203/20Y02E10/76
Inventor 蒋平张文婷霍雨翀
Owner SOUTHEAST UNIV
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