中国电力 ›› 2022, Vol. 55 ›› Issue (6): 202-207.DOI: 10.11930/j.issn.1004-9649.202012042

• 发电 • 上一篇    下一篇

燃煤火电厂年度燃料成本最小化决策模型及应用

刘习文1, 彭卓寅2, 胡新强1, 叶泽2, 何会学1, 蔡睿1, 魏文博1   

  1. 1. 国电湖南宝庆煤电有限公司,湖南 邵阳 422004;
    2. 长沙理工大学 电价研究中心,湖南 长沙 410114
  • 收稿日期:2020-12-10 修回日期:2022-04-23 出版日期:2022-06-28 发布日期:2022-06-18
  • 作者简介:刘习文(1963—),男,高级工程师,从事电厂管理工作,E-mail:12002003@chnenergy.com.cn;彭卓寅(1986—),男,通信作者,博士,副教授,从事电力技术研究,E-mail:joeypengzy@outlook.com
  • 基金资助:
    国电湖南宝庆煤电有限公司科技创新项目(GDBQ-2020-055)。

Annual Fuel Cost Minimization Decision Model for Thermal Power Plant and Its Applications

LIU Xiwen1, PENG Zhuoyin2, HU Xinqiang1, YE Ze2, HE Huixue1, CAI Rui1, WEI Wenbo1   

  1. 1. Guodian Hunan Baoqing Coal Power Co., Ltd., Shaoyang 422004, China;
    2. Electricity Price Research Center of Changsha University of Science and Technology, Changsha 410114, China
  • Received:2020-12-10 Revised:2022-04-23 Online:2022-06-28 Published:2022-06-18
  • Supported by:
    This work is supported by Scientific Innovation Project of Guodian Hunan Baoqing Coal Power Co., Ltd. (No.GDBQ-2020-055).

摘要: 燃料成本占火力发电厂生产成本的60%~70%,燃料成本管理直接影响电厂经济效益。目前,中国燃煤火电厂十分重视燃料成本的全过程管理。综合考虑燃料采购成本、库存成本、损耗成本之间的相互关系,建立了电厂年度燃料成本最小化决策模型。以某电厂2019年实际生产经营数据进行计算与决策。结果表明:利用模型决策采购时间点及采购量降低了年度燃料总成本约1.18%、年度燃料采购成本约1.14%、年度燃料库存和损耗成本约1.43%,为燃煤电厂燃料成本的科学管理提供了新方法。

关键词: 燃煤火电厂, 年度燃料成本, 采购, 库存与损耗

Abstract: Fuel cost accounts for 60%–70% of the production cost of a power plant, and the management of fuel cost has a direct influence on the power plant’s economic benefits. At present, the thermal power plants in China have attached great importance to the whole process of fuel cost management. Based on the relationship among fuel purchase cost, inventory cost and loss cost, an annual fuel cost minimization decision model is established for thermal power plants. The actual operation data of a power plant in 2019 was calculated for decision making. The results show the decision in fuel purchase timing and purchase volume reduced the total annual fuel cost, the annual fuel procurement cost, and the annual fuel inventory and loss cost by 1.18%, 1.14% and 1.43%. respectively. The proposed model provides a new method for scientific management of the fuel cost in thermal power plants.

Key words: thermal power plant, annual fuel cost, purchase, inventory and loss