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Wind-hydraulic-thermal coordinated optimization dispatching method based on improved Benders decomposition method

A technology for coordinating optimization and scheduling methods, applied in wind power generation, single-grid parallel feeding arrangement, AC network with energy trade/energy transmission authority, etc. It can solve problems such as slow convergence speed, difficulty in solving, and unstable convergence.

Active Publication Date: 2019-07-05
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In addition, the economic scheduling problem considering uncertainty is a large-scale mixed integer nonlinear programming problem, and the increase of discrete variables makes the solution of the problem more difficult
However, with the increase of scene variables, the traditional Benders decomposition method sometimes faces the problem of slow convergence and unstable convergence, so it needs to be improved to increase the convergence speed

Method used

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  • Wind-hydraulic-thermal coordinated optimization dispatching method based on improved Benders decomposition method
  • Wind-hydraulic-thermal coordinated optimization dispatching method based on improved Benders decomposition method
  • Wind-hydraulic-thermal coordinated optimization dispatching method based on improved Benders decomposition method

Examples

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Effect test

Embodiment 1

[0258] The following is a detailed analysis of a thermal power unit with 39 nodes of IEEE10 units, a 2-level cascade hydropower station composed of 7 hydropower units, and a wind farm. The installed ratios of wind, water and fire are 10%: 13%: 77% respectively. A total of 2000 scenes were generated by the Latin hypercube sampling method, which was reduced to 20 scenes by the scene reduction method.

[0259] Assuming that the confidence level of each type of backup is 0.9, and the risk level is 0.3, the expected value of the optimization results of each type of backup is obtained through the solution of the model, such as figure 2 shown. Comparing the model established by the present invention with the model using the traditional method for determining the demand for spare capacity, the comparison of the optimization results of the total reserved spare capacity is obtained, such as image 3 As shown, the comparison of scheduling cost expectations is shown in Table 1. Throug...

Embodiment 2

[0281] In order to verify the applicability of the method and model proposed by the present invention, further calculations were carried out in conjunction with 54 thermal power units in the IEEE54 machine 118 node standard calculation example. The predicted data of hydropower data, wind power output and system load are 5 times that of calculation example 1. The installed ratios of wind, water, and fire are 10%: 12%: 78% respectively, and the rest of the data are the same as Example 1. After 182.141s, the expected value of the total cost is 5121342.742$. The expected output value of each unit and the unit combination plan are as follows: Figure 5 with Image 6 shown. Under this unit combination scheme, the feasibility of power allocation and backup reservation for different wind power output and load forecast error scenarios can be guaranteed.

[0282] In order to test the rationality of the obtained backup optimization results, inverse discrete Fourier transform (Inverse ...

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Abstract

The invention relates to a wind-hydraulic-thermal coordinated optimization dispatching method based on an improved Benders decomposition method. The method comprises steps of generating a set class number equal probability information sample matrix by using a Latin hypercube sampling method; arranging and reducing all sample scenes in the sample matrix by using a scene reduction method, and obtaining a classic scene set in each scene category; optimizing the allocation of various types of standby resources in consideration of multiple standby requirements caused by wind power output and load volatility; and introducing a conditional value at risk (CVaR) into a dispatching model to quantify and balance a relationship between expected return and risk, so that a generation company can choosea corresponding dispatching scheme according to its own risk. The disclosed method model introduces two optimization strategies including Jenson inequality constraints and multi-cut set feedback whensolving the model with a Benders decomposition algorithm, and improves the calculation speed and accuracy of the Benders decomposition method.

Description

technical field [0001] The invention relates to an energy management technology, in particular to a wind, water, and fire coordination optimization scheduling method based on an improved Benders decomposition method. Background technique [0002] The combined operation of wind, water and fire can provide a more flexible backup for the system and help the consumption of new energy. However, the inherent randomness and volatility of wind power have brought difficulties to the optimal dispatch and auxiliary services of the power system, and how to reasonably arrange backup for different power generation methods is still full of challenges. [0003] In addition to considering the demand of wind power output and load fluctuations for grid reserves, the uncertainty of reserve prices will also bring risks to the optimization of reserve capacity, while most of the traditional deterministic unit combination models take the lowest system operating cost as the objective function , ign...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38G06Q10/06G06Q50/06
CPCH02J3/386H02J3/008H02J3/381G06Q10/06312G06Q10/06315G06Q50/06H02J2310/64H02J2203/20Y02E10/76Y04S10/50Y04S20/222Y02B70/3225
Inventor 葛晓琳金言薛钰
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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