Double-layer energy optimization scheduling method for multi-energy complementary system
The invention discloses a double-layer energy optimization scheduling method for a multi-energy complementary system. The method comprises the following steps: acquiring a correlation coefficient matrix of each variable in a normal space based on Nataf transformation, and acquiring a sample matrix g...
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Main Authors | , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
11.11.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a double-layer energy optimization scheduling method for a multi-energy complementary system. The method comprises the following steps: acquiring a correlation coefficient matrix of each variable in a normal space based on Nataf transformation, and acquiring a sample matrix group; performing 2PEM evaluation and series expansion fitting by taking the sample matrix group as an input variable to obtain a probability density function; constructing a quadratic programming model, and solving the quadratic programming model based on an improved effective set method; a robust optimization model is constructed based on a risk avoidance strategy, and the influence of wind and light load uncertainty on an energy storage configuration result is avoided; an MPC rolling optimization model is constructed to reduce deviation; constructing a double-layer energy optimization scheduling framework based on an MPC rolling optimization model and a robust optimization model; and correcting a day-ahead schedu |
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Bibliography: | Application Number: CN202211055914 |