Random response surface method and interior point method based wind-power-plant-contained random optimal power flow solving method

A technology of random response surface method and optimal power flow, applied in the direction of single-grid parallel feeding arrangement, etc., can solve the problem of long simulation time of wind speed randomness

Active Publication Date: 2016-06-01
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

To sum up, it is of positive significance to improve the day-ahead dispatching level of the power system by studying the method of solving the stochastic optima

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  • Random response surface method and interior point method based wind-power-plant-contained random optimal power flow solving method
  • Random response surface method and interior point method based wind-power-plant-contained random optimal power flow solving method
  • Random response surface method and interior point method based wind-power-plant-contained random optimal power flow solving method

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[0014] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0015] The method for solving the stochastic optimal power flow with wind power based on the stochastic response surface method and the interior point method proposed by the present invention, its overall implementation process is shown in figure 1 , the following takes the IEEE5 node system as a specific embodiment to describe it in detail, and its wiring conditions are shown in figure 2 . The examples illustrate but do not limit the invention.

[0016] Step 1: Obtain the data of the power system in the next complete dispatch period, and perform load forecasting.

[0017] For this embodiment, the data of the IEEE5 node system can be directly input. The load forecast curve uses image 3 Typical bimodal curve as an example.

[0018] Step 2: Aiming at the minimum total power generation and purchase cost within a given period (24 p...

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Abstract

The invention relates to a random response surface method and interior point method based wind-power-plant-contained random optimal power flow solving method, and belongs to the day-ahead dispatching plan researching field of a power system. The solving method comprises the following steps of obtaining system related data of a next dispatching cycle; taking a minimum power-generation and electricity-purchasing cost within a given time frame (24-hour time frame) as the target, and establishing a wind-power-plant-contained classical dynamic optimal power flow model; solving active output of the wind turbine in each single time frame by adopting the random response surface method; taking the air speed as the input variable and performing standardizing, and taking the active output as the output response to obtain an active output probability distribution function of the wind turbine; substituting the random air speed to solve the active output expectation of the wind turbine generator within a 24-hour time frame; and then substituting the optimal power flow model, and solving the optimal solution by adopting the interior point method. According to the solving method, the random response surface method and the interior point method are combined to solve the wind-power-plant-contained dynamic optimal power flow; and the problem of more calculation times, long simulation time and large occupied internal storage of the conventional randomness analysis method is comprehensively solved.

Description

technical field [0001] The invention belongs to the research field of day-ahead dispatching plan of electric power system, and relates to a method for solving stochastic optimal power flow including wind power based on stochastic response surface method and interior point method. Background technique [0002] The research and formulation of the power system day-ahead dispatch plan is of great significance to the optimal operation and control of the power system within the entire dispatch cycle. [0003] Stochastic optimal power flow with wind power is a branch of the research on the economic dispatch plan of the day-ahead. It aims to make decisions on the output of the units in each period of time when the unit combination plan is known, considering the randomness of the wind speed of the wind farm, so that within a given period The cost of power generation and purchase is the smallest, and the optimal power flow model is now widely used to implement economic dispatch ahead ...

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Application Information

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IPC IPC(8): H02J3/46H02J3/38
Inventor 马瑞谭颖
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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