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The article studies how to achieve this balance by optimizing the allocation of regional energy systems under the influence of price fluctuations and load demand uncertainty in the electricity market. This study introduces a real-time electricity price adjustment mechanism to stimulate user participation in energy adjustments and improve energy utilization efficiency. By constructing an optimization model based on multiple uncertainties and comprehensive demand response, uncertainty factors such as energy market price fluctuations and climate change were considered, and user demand response was integrated. The research results indicate that electricity price fluctuations have a significant impact on system operation, while CSP power plant thermal storage fluctuations have a relatively small impact. After the introduction of demand response, the electricity load can be reduced to zero during specific periods, and the adjustment of electricity prices stimulates user participation and improves the consumption rate of renewable energy. The total revenue of the system increased by 54.147 million yuan, demonstrating the potential of optimized configuration in reducing costs and improving efficiency. This study provides important references for building more efficient and sustainable energy systems.<\/jats:p>","DOI":"10.1186\/s42162-024-00362-y","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T15:02:32Z","timestamp":1721314952000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Optimization configuration strategy for regional energy systems based on multiple uncertainties and demand response"],"prefix":"10.1186","volume":"7","author":[{"given":"Rui","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinghua","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,18]]},"reference":[{"issue":"5","key":"362_CR1","doi-asserted-by":"publisher","first-page":"6361","DOI":"10.1007\/s13369-022-07363-7","volume":"48","author":"H Abdellatif","year":"2023","unstructured":"Abdellatif H, Syed MN, Hossain MI, Abido MA (2023) Standalone hybrid renewable energy system optimization using linear programming. 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