Abstract
Nowadays, the energy structure is gradually changing to clean power generation. Clean energy mainly includes renewable energy and part of non-renewable energy. Non-renewable energy is depleting day by day, showing a shrinking trend. Renewable energy is not affected by energy shortage, and is the focus of future development. How to ensure the sustainable and healthy development of clean energy, it is necessary to adjust the existing power generation energy structure scientifically and rationally. In this paper, the theory of hypergraph is introduced to cluster the optimal combination information of clean energy, and a hypergraph model of power generation energy structure adjustment is established. The problem of replacing fossil energy in power generation energy consumption with clean energy is solved as the original objective. By mapping the generation energy structure adjustment with hypergraph, the problem of generation energy structure adjustment is transformed into the problem of solving hypergraph path. By using the two-point hyperpath algorithm, an optimal path for the development of clean power generation, reducing the proportion of fossil energy power generation, and gradually converting to clean energy is obtained. The application of hypergraph algorithm in the structural adjustment of power generation is of great significance to promote the diversification of power generation energy, especially in the clean development, low-carbon development and green development of the power industry.
Highlights
In the past 10 years, since 2007, clean energy, especially renewable energy, has developed rapidly in most countries of the world, and the proportion of renewable energy in power generation has increased year by year
It is expected that by 2020, the proportion of coal in China's energy structure will fall below 57%, renewable energy will increase to about 10%, and the installed capacity of non-fossil energy power generation is expected to reach 770 million kilowatts [4]
In the optimal combination hypergraph model of clean energy, all kinds of clean energy and users are abstracted as vertices, and the relationship between vertices is abstracted as edges
Summary
In the past 10 years, since 2007, clean energy, especially renewable energy, has developed rapidly in most countries of the world, and the proportion of renewable energy in power generation has increased year by year. Clean energy is one of the important contents of the 13th Five-Year Plan of Electric Power Development in China. By 2050, China will achieve the goal that 60% of its electricity will come from renewable energy sources [5, 6] This requires us to coordinate the development of clean energy scientifically and reasonably, and to develop renewable energy in an orderly manner, in accordance with the principle of combining centralized development with decentralized development and focusing on near absorption. The process of power generation energy structure adjustment is to find out the possible development path between entities, judge whether various entities are related, find out the possible hypergraph path and make the corresponding semantic mapping, and make a good explanation of its optimal combination scheme
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