Low-Carbon Economic Dispatch of Integrated Energy Systems in Multi-Form Energy-intensive Parks Based on the ICT-GRU Prediction Model

Q3 Environmental Science
LiaoYi Ning, Kai Liang, Bo Zhang, Yang Gao, Zhilin Xu
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引用次数: 0

Abstract

This paper presents a solution to the issues of redundancy and ambiguity in predicting variables associated with renewable energy output while aligning with the objectives of the “dual-carbon” energy strategy. A low-carbon economic dispatch method for multi-form energy-intensive parks is proposed, employing the ICT-GRU prediction model. Leveraging historical generation data, the ICT-GRU model enables accurate forecasting of renewable energy output. Subsequently, a comprehensive energy system model is developed considering the carbon emission characteristics and control features of park entities. The model aims to minimize operational costs and facilitate low-carbon economic dispatch. The effectiveness of the proposed method is demonstrated through a case study conducted in a multi-form energy-intensive load park integrated into a power grid. The results validate its capability to achieve low-carbon economic operation and provide valuable insights for grid dispatch optimization.
基于 ICT-GRU 预测模型的多形式能源密集型园区综合能源系统的低碳经济调度
本文提出了一种解决方案,既能解决可再生能源产出相关变量预测中的冗余和模糊问题,又能与 "双碳 "能源战略的目标保持一致。本文采用 ICT-GRU 预测模型,为多形式能源密集型园区提出了一种低碳经济调度方法。利用历史发电数据,ICT-GRU 模型能够准确预测可再生能源的产出。随后,考虑到碳排放特征和园区实体的控制特点,建立了一个综合能源系统模型。该模型旨在最大限度地降低运营成本,促进低碳经济调度。通过对一个并入电网的多形式能源密集型负荷园区进行案例研究,证明了所提方法的有效性。结果验证了该方法实现低碳经济运行的能力,并为电网调度优化提供了有价值的见解。
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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来源期刊
Strategic Planning for Energy and the Environment
Strategic Planning for Energy and the Environment Environmental Science-Environmental Science (all)
CiteScore
1.50
自引率
0.00%
发文量
25
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