A Capacity Allocation Method for Hydro-Photoelectric Complementary Scheduling Considering Long-Short Nested Decision

Abstract

The invention provides a long-short nested decision-considered water / photoelectric complementary scheduling capacity configuration method. The method is characterized by comprising the following steps of 1, with zero as a lower limit and the installed capacity of hydropower as an upper limit, generating an installed capacity scheme set for a photovoltaic power station according to a certain step length; 2, for the photovoltaic power station of a given size, respectively establishing a long-term scheduling model and a short-term scheduling model to simulate the water-optical complementary scheduling process in a nested manner; 3, based on the scheduling process, analyzing the cost-effectiveness of schemes which conform to downstream water-level and flow variable-amplitude constraints, and optimizing the installed capacity of the photovoltaic power station with the net income of the photovoltaic power station during the whole life to be maximum. According to the invention, the change characteristics of reservoir inflow forecast and optoelectronic input of different time scales are fully considered, so that the water-optical complementary scheduling process can be accurately simulated. Meanwhile, the adverse effects of the water-optical complementary scheduling process on the comprehensive utilization of downstream water resources are considered. Therefore, the method provides a reference for the planning design of water-optical complementary scheduling projects.

Description

technical field [0001] The invention belongs to the intersection field of renewable energy utilization and reservoir dispatching, and specifically relates to a water-photoelectric complementary dispatching capacity configuration method considering long-short nesting decision-making. [0002] technical background [0003] With the depletion of fossil fuels and the gradual deterioration of the ecological environment, the development and utilization of renewable energy is an effective way to solve the energy crisis and cope with global climate change. Solar energy is clean, environmentally friendly, inexhaustible, and inexhaustible, and has significant advantages over other renewable energy sources. Grid-connected photovoltaic power generation is the most effective way to utilize light resources. However, photoelectric output is affected by factors such as day and night alternation, weather changes, and cloud thickness, and has obvious intermittent, fluctuating, and random natu...

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: (1) only short-time-scale input data is used in the simulation, and the long-term seasonal characteristics of reservoir inflow and meteorological factors are not fully utilized, resulting in local optimal installation and operating benefits; (2) Unfavorable impact of fluctuating outflow without consideration of water and light complementarity on comprehensive utilization of downstream water resources

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