中国电力 ›› 2018, Vol. 51 ›› Issue (4): 180-184.DOI: 10.11930/j.issn.1004-9649.201606003

• 技术经济 • 上一篇    

基于综合成本的电网公司购电优化模型

王蕾1,2, 习培玉1,2, 史述红1,2, 王海宁1,2, 吴雨健1,2   

  1. 1. 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏 南京 210003;
    2. 北京科东电力控制系统有限责任公司, 北京 100194
  • 收稿日期:2016-06-01 修回日期:2017-06-13 出版日期:2018-04-05 发布日期:2018-04-12
  • 作者简介:王蕾(1987-),女,内蒙古人,硕士,工程师,从事电力市场研究,E-mail:ouhe163@126.com;习培玉(1983-),女,河北石家庄人,硕士,高级工程师,从事电力市场研究,E-mail:xlc_2011@126.com。
  • 基金资助:
    国家电网公司科技资助项目(SGEPRI-KJB-KJ (2017)2766)。

Grid Enterprises Purchase Model Optimization Based on Integrated Cost

WANG Lei1,2, XI Peiyu1,2, SHI Shuhong1,2, WANG Haining1,2, WU Yujian1,2   

  1. 1. NARI Group Corporation/State Grid Electric Power Research Institute Co., Ltd., Nanjing 210003, China;
    2. Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100194, China
  • Received:2016-06-01 Revised:2017-06-13 Online:2018-04-05 Published:2018-04-12
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Corporation of China (No.SGEPRI-KJB-KJ(2017)2766).

摘要: 温室效应加剧,世界性环境问题凸显,电网公司应寻求合适的购电策略以保障电力行业的可持续发展。通过污染物排放因子和治理成本将电力生产过程中污染物排放造成的环境负效应量化,折算成外部环境成本,同购电费用共同作为购电决策的依据,建立基于综合成本的电网公司购电优化模型。仿真计算结果表明,优化后的购电策略环保效益的增加量远大于购电成本的增加量。

关键词: 电网公司, 市场化改革, 外部环境成本, 效益, 购电优化

Abstract: The intensifies of greenhouse effect and environmental issues call for appropriate purchase strategies for power supply company to guarantee sustainable development of power industry. Negative environment effects caused by pollutant emissions during power production process are quantified as pollutant emission factors and governance cost. Those quantified indexes then converted to external environmental cost and integrated into purchase cost for purchase decision. A grid enterprises purchase optimization model based on integrated cost is established. Simulation results show that environmental protection effect is much higher than electricity purchasing cost increase with proposed model.

Key words: grid corporation, electricity market, external environmental cost, effect, power purchase optimization

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