Multi-target tangent method for joint scheduling of wind-solar-water complementary power generation system

Abstract

The invention belongs to the field of wind-light-water multi-energy complementary joint scheduling, and discloses a multi-target tangent method for joint scheduling of a wind-light-water complementarypower generation system, which comprises the following steps: acquiring local wind speed, solar radiation intensity and hydropower station incoming water data; taking a reservoir water level value asa decision code according to the complementary characteristics of wind, light and water; analyzing power generation benefits and ecological benefits at the same time, and establishing a long-term multi-target scheduling model in the wind-light-water complementary power generation system; proposing and solving the established model by adopting a new multi-objective method to obtain a long-term optimal scheduling optimal solution set in the wind-solar-water complementary power generation system considering both power generation and ecology; and the solved multi-target scheme is analyzed. The method can be fully used for medium-and-long-term planning and scheduling scheme compilation of the wind-light-water complementary power generation system, the power generation target and the ecologicaltarget of the wind-light-water complementary power generation system are balanced, the comprehensive benefit of medium-and-long-term scheduling is improved to the maximum extent, and the method has certain reference significance.

Description

technical field [0001] The invention belongs to the field of wind-solar-hydraulic multi-energy complementary joint dispatching, and in particular relates to a multi-objective tangent method for joint dispatching of wind-solar-hydraulic complementary power generation systems Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: In recent years, with the increasing energy shortage and environmental problems, emerging clean and renewable energy sources such as wind energy and solar energy have attracted increasing attention and been vigorously developed. However, the randomness and fluctuation of wind speed and solar radiation intensity are relatively large, and the large-scale integration of wind power and photovoltaic power generation into the grid will bring a series of problems such as load fluctuation and instability. As an important renewable energy source, hydropower has a strong ability to regulate power genera...

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Problems solved by technology

[0005] (1) At present, wind, water and multi-energy complementary power generation system is in the early stage of construction, the technology is not mature enough, there is no sound operation standard, and there is a lack of long-term planning guidance technology, so the reliability is difficult to guarantee;

[0006] (2) It is difficult to absorb renewable energy such as wind energy and solar energy, the cost of new energy power generation is high, and there is a lack of reasonable dispatch planning, which has brought great difficulties to the transformation of China's energy consumption;

[0007] (3) The research on wind-solar-water multi-energy complementary system mainly considers power generation benefits and economic benefits, and relatively little consideration is given to ecological benefits;

[0008] (4) The randomness and volatility of wind speed and solar radiation intensity are large, and large-scale integration of wind power and photovoltaic power generation into the grid will lead to unstable load fluctuations;

[0009] (5) Relying on the frequent adjustment of the water level of the reservoir to control the power generation of the wind-solar-water hybrid power generation system will lead to drastic changes in the flow in the downstream river, causing the destruction of habitats, and even leading to the extinction of some species;

[0010] (6) Constraint method and weight method are difficult to effectively solve multi-objective optimization models. The current popular multi-objective evolution methods such as NSGAII, SPEAII, and MOPSO still have certain limitations in convergence and distribution

[0012] The randomness and volatility of wind speed and solar radiation intensity are large, and the large-scale storage cost of wind power and photovoltaic power generation is too high; and the previous constraint method and weight method are difficult to effectively solve the multi-objective optimization model. Currently popular NSGAII, SPEAII, MOPSO, etc. The multi-objective evolution method still has certain limitations in terms of convergence and distribution; at the same time, the wind-solar-water hybrid power generation system lacks medium- and long-term scheduling planning guidance

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