发电技术

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基于欧氏归一化的碳电双市场煤电机组优化调度方法

施壮1,刘路登2,苏阳1,丛星亮1,张帅3,董伟杰3,崔嘉诚3   

  1. 1.国网安徽省电力有限公司电力科学研究院,安徽省 合肥市 230022; 2.国网安徽省电力有限公司,安徽省 合肥市 230022; 3.北京信息科技大学,北京市 海淀区 100192
  • 基金资助:

    2022安徽省自然科学基金项目(2208085UD01);国网安徽电科院科技项目(SGAHDK00YJJS2310406);国网安徽省电力有限公司科技项目(B31205230020)

Optimal Scheduling Method for Coal-fired Power Units in Carbon and Electricity Dual Markets Based on Euclidean Normalization

SHI Zhuang1, LIU Ludeng2, SU Yang1, CONG Xingliang1, ZHANG Shuai4, DONG Weijie4, CUI Jiacheng4   

  1. 1. Electric Power Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230022, Anhui Province, China; 2. State Grid Anhui Electric Power Co., Ltd., Hefei 230022, Anhui Province, China; 3. Beijing Information Science & Technology University, Haidian District, Beijing 100192, China
  • Supported by:

    2022 Anhui Provincial Natural Science Foundation Project (2208085UD01); State Grid Anhui Electric Power Research Institute Science and technology project (SGAHDK00YJJS2310406); State Grid Anhui Electric Power Co., Ltd.science and technology project (B31205230020)

摘要: 【目的】随着碳市场和重点企业碳配额制度逐步完善,碳电双市场耦合运行成为必然趋势,作为主要碳排放来源的煤电机组具有较大的减碳空间和调度优化潜力。【方法】对此综合考虑碳电双市场运行特征及其对煤电机组的综合影响,构建了一种基于欧氏归一化的煤电机组优化调度方法模型,通过建立三维决策变量模型实现多台煤电机组之间调度关系的刻画。【结果】以安徽省典型煤电机组为样本,开展仿真算例分析,结果表明,所提优化后的调度方法下,煤电机组碳排放水平平均降低约35.73%,与单目标优化调度结果相比,优化后的调度方法综合效果明显。【结论】所提方法除了用于对碳电双市场下煤电机组优化调度提供技术支撑以外,还可以对省级电网煤电机组集群在碳电耦合市场下调度策略进行经济、环境和社会效益的整体评估。

关键词: 碳电耦合, 煤电机组调度, 多目标优化, 碳排放, 碳市场, 欧式距离, 归一化

Abstract: [Methods] With the gradual improvement of the carbon market and the carbon quota system for key enterprises, the coupled operation of the carbon and electricity markets has become an inevitable trend. As the largest source of carbon emissions, the optimization scheduling of coal-fired power units holds significant potential. [Methods] In this regard, this paper constructs a multi-objective optimization scheduling model among multiple coal-fired power units based on the operating conditions of carbon and electricity. [Results] Taking typical coal-fired power units in Anhui Province as a sample, the simulation example analysis is carried out. The results show that under the optimized scheduling method, the carbon emission level of coal-fired power units is reduced by about 35.73% on average. Compared with the single objective optimization scheduling results, the comprehensive effect of the optimized scheduling method is obvious. [Conclusions] In addition to providing technical support for the optimal dispatch of coal-fired power units in the carbon electricity dual market, the proposed method can also be used to evaluate the overall economic, environmental and social benefits of the dispatch strategy of coal-fired power unit clusters in provincial power grids in the carbon electricity coupled market.

Key words: carbon electric coupling, coal power unit scheduling, multi-objective optimization, carbon emissions, carbon market, euclidean distance, normalization