基于预期供应时间段的电力企业可再生能源投资研究

IF 3.9 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2021-05-31 DOI:10.1080/17517575.2021.1923064

Bei Ye, Yan Gao, Guangpu Yuan

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引用次数: 4

摘要

摘要本文通过建立电力企业的成本最小化模型来讨论投资问题。提出了两种具有投资潜力的能源:可再生能源和新常规能源，并假设了未来一段时间的预期供应水平。考虑了综合电力市场的特征:优序效应、碳排放强度、可再生能源的间歇性、碳税、贷款利息、发电和投资成本。将模型转化为一维规划，采用黄金分割算法。在两种不同供给水平的情况下进行了仿真，验证了模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Renewable energy investment study for electric power enterprise based on a time period with expected supply

ABSTRACT This paper discusses an investment problem by establishing a cost minimization model for an electric power enterprise. Two potentially investable energy sources are suggested: renewable and new conventional energy, and expected supply level in a coming period is assumed. Features of integrated power market are considered: the merit order effect, carbon emissions intensity, intermittency of renewable energy, carbon tax, loan interest and generation and investment costs. The model is transformed to one-dimensional programming, so the Golden Section Algorithm is adopted. Simulation results are demonstrated in two cases with different supply levels, and they confirm the validity of the model.

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.