基于超图的发电能源结构调整算法研究

Chunhua Qiu, S. Ge, Ting Yang, J. Wei, Guoxing Xiang
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摘要

目前,能源结构正逐步向清洁发电转变。清洁能源主要包括可再生能源和部分不可再生能源。不可再生能源日益枯竭,呈现萎缩趋势。可再生能源不受能源短缺的影响,是未来发展的重点。如何保证清洁能源的持续健康发展,就必须对现有发电能源结构进行科学合理的调整。本文引入超图理论对清洁能源最优组合信息进行聚类,建立了发电能源结构调整的超图模型。以解决发电能源消费中化石能源替代清洁能源的问题为最初目标。通过将发电能量结构调整映射到超图上,将发电能量结构调整问题转化为求解超图路径问题。利用两点超路径算法,得到了发展清洁发电、降低化石能源发电比重、逐步向清洁能源转型的最优路径。超图算法在发电结构调整中的应用,对于促进发电能源的多样化,特别是电力行业的清洁发展、低碳发展和绿色发展具有重要意义。
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Research on Power Generation Energy Sources Structure Adjustment Algorithm Based on HyperGraph
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.
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