Distribution robustness optimization method suitable for power distribution network unit combination

A unit combination, robust optimization technology, applied in design optimization/simulation, electrical components, circuit devices, etc., can solve the problems of large computing scale, neglect, low computing efficiency, etc.

Active Publication Date: 2020-11-13
HOHAI UNIV
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Problems solved by technology

However, the randomness and intermittency of renewable energy output bring great challenges to the scheduling of gas turbine units
Most of the current research uses stochastic programming and robust optimization to deal with uncertain problems. However, these two methods have their inevitable shortcomings: stochastic programming requires accurate probability distributions of uncertain parameters, which are difficult to obtain in practice. Moreover, stochastic prog...

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  • Distribution robustness optimization method suitable for power distribution network unit combination
  • Distribution robustness optimization method suitable for power distribution network unit combination
  • Distribution robustness optimization method suitable for power distribution network unit combination

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Embodiment Construction

[0084] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0085] The present invention designs a distributed robust optimization method suitable for distribution network unit combinations, such as figure 1 As shown, the steps are as follows:

[0086] Step 1: Based on the statistical data of renewable energy output, construct a fuzzy set based on statistical data;

[0087] Step 2: Introduce auxiliary variables to rewrite the fuzzy set in step 1;

[0088] Step 3: Based on the fuzzy set in step 2, establish a distribution network unit combination model based on distribution robust optimization;

[0089] Step 4: Transform the model in Step 3 into a mixed integer second-order cone programming model by applying the affine strategy, strong duality theory, and second-order cone duality theory;

[0090] Step 5: Solve the mixed integer second-order cone programming model in step 4, and obtain the optimal...

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Abstract

The invention discloses a distribution robustness optimization method suitable for a power distribution network unit combination, and the method comprises the steps: constructing a fuzzy set based onstatistical data based on the statistical data of renewable energy output; introducing an auxiliary variable, and rewriting a fuzzy set; based on the fuzzy set, establishing a power distribution network unit combination model based on distribution robustness optimization; converting the model into a mixed integer second-order cone programming model by applying an affine strategy, a strong dual theory and a second-order cone dual theory; and solving the mixed integer second-order cone programming model. According to the method, the problems that stochastic programming depends too much on accurate probability distribution and the calculated amount is too large are solved, and the problem that traditional robust optimization is too conservative is effectively avoided. According to the method,the power distribution network unit commitment model is finally converted into the mixed integer second-order cone programming model which is easy to solve, the calculation efficiency is greatly improved, the model can be directly solved on modeling software such as GAMS, and the solving difficulty is reduced.

Description

technical field [0001] The invention belongs to the field of power system scheduling and optimization, and in particular relates to a distribution optimization method for a distribution network unit combination. Background technique [0002] With the increasingly serious problems of environmental pollution and energy shortage, it is urgent to develop clean energy to replace traditional fossil energy. In recent years, a large number of grid-connected new energy sources such as gas turbines and renewable energy generators (small wind turbines, photovoltaics) have become the main development trend of the current distribution network. [0003] Unit combination is a fundamental problem in gas turbine scheduling. However, the randomness and intermittency of renewable energy output bring great challenges to the scheduling of gas turbine units. Most of the current research uses stochastic programming and robust optimization to deal with uncertain problems. However, these two metho...

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Application Information

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IPC IPC(8): G06F30/20G06Q10/06H02J3/00G06F17/18
CPCG06F17/18G06Q10/06315G06F30/20H02J3/00H02J2203/10H02J2203/20Y04S10/50
Inventor 周亦洲卫志农孙国强臧海祥
Owner HOHAI UNIV
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