Optimization scheduling method based on mixing power supply multi-time scale complementation

Abstract

The present invention discloses an optimization scheduling method based on mixing power supply multi-time scale complementation. The method comprises: 1, bundling a wind turbine generator, a photovoltaic power station and a hydroelectric generating set into a VP for combined operation, defining a load tracking index, and allowing a load curve deducting the VP output to be an optimal load curve; 2, establishing a day-ahead 24-hour planning model comprising a VP optimal scheduling layer and a thermal power optimal scheduling layer, and taking the minimum of the load tracking index and the thermal power generation cost as target functions; 3, establishing an intra-day 4-hour rolling planning model, taking the invariance of the optimal load curve in this period and the minimum of the thermal power adjustment cost as targets, and setting wind-abandoning and photovoltaic-abandoning constraint of progressive correction; and 4, establishing a real-time 15-mit planning model, and taking the invariance of the optimal load curve in the last moment and the minimum of the thermal power adjustment cost, and setting the wind-abandoning and photovoltaic-abandoning constraint of the progressive correction. The optimization scheduling method based on the mixing power supply multi-time scale complementation realizes the maximization of regulation benefit, environmental protection benefit and economic benefit, and provides valuable solution schemes for a plurality of new energy grid-connected problems.

Description

technical field [0001] The invention relates to the technical field of grid-connected scheduling of new energy sources in electric power systems, and specifically refers to an optimal scheduling method based on multi-time-scale complementarity of hybrid power sources. Background technique [0002] With the increasing environmental problems and energy depletion problems, renewable energy such as wind energy and solar energy has been greatly developed, and the proportion of energy has increased significantly. However, due to the intermittence, volatility, randomness, and anti-peaking characteristics of wind energy and solar energy, large-scale new energy grid integration has brought serious challenges to the economic dispatch of power systems. [0003] Heterogeneous energy refers to energy with different energy types and output characteristics. Heterogeneous energy sources such as wind, water, fire, etc. have certain complementarities in output space-time characteristics and ...

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Problems solved by technology

[0006] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide an optimal scheduling method based on hybrid power multi-time scale complementarity, to solve the problem that the current single day-ahead scheduling model of complementary systems is difficult to ensure the actual complementarity and stabilization effect of complementary systems

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