Water, wind and light planning scheme set optimization method based on hierarchical optimization model

Abstract

The invention discloses a water, wind and light planning scheme set optimization method based on a hierarchical optimization model. The method comprises the following steps: determining a wind and light development scheme set composed of at least two sites in a wind power station site and a photovoltaic power station site; calculating the total initial investment cost of each group of water, wind and light planning schemes; respectively establishing an upper-layer medium-and-long-term optimization scheduling model and a lower-layer short-term optimization scheduling model, and determining the total on-grid power and abandoned power of the water, wind and light planning system in the assessment period; obtaining the net income of each group of water, wind and light planning schemes in the assessment period; and comparing the economic and technical evaluation of each group of water, wind and light planning schemes, and selecting an optimal water, wind and light planning construction scheme. According to the method, from the perspective of hydropower station complementary wind and photoelectric station planning and construction in engineering practice, a layered optimization method is adopted, the number of decision variables and constraint conditions of single optimization can be remarkably reduced, and the optimization solution speed and the convergence rate are improved.

Description

Technical field [0001] The present invention relates to the field of new energy power generation planning, in particular to a preferred method of water, wind and light planning solution based on a layered optimization model. Background technique [0002] With the continuous growth of energy demand, the long-term use of fossil fuels is increasingly highly high in the ecological environment, and the importance of renewable energy development is more clear. Hydropower, wind power, photovoltaic is currently the main form of renewable energy. Since the above three power plants are affected by climate and weather conditions, hydropower stations have existently fluctuations and uncertainty in different time scale. Among them, hydropower stations have different regulatory capabilities in short-term and long-term, can be complementary to wind and photovoltaic stations in terms of effort and delivery, to achieve better safety and economic benefits. However, water, wind, light complementary...

AI Technical Summary

Problems solved by technology

Existing simulation methods only perform hourly simulation analysis on the operation status of water, wind, and light planning systems for many years, and there are problems with a large number of decision variables and constraints that are difficult to solve

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