中国电力 ›› 2019, Vol. 52 ›› Issue (11): 167-174.DOI: 10.11930/j.issn.1004-9649.201812054

• 技术经济 • 上一篇    下一篇

考虑虚拟电厂经济运行的蓄热罐定容配置

周任军1, 武浩然1, 冯剑2, 王昱2, 王仰之1, 王珑1   

  1. 1. 长沙理工大学 湖南省清洁能源与智能电网协同创新中心, 湖南 长沙 410004;
    2. 中国能源建设集团湖南省电力设计院有限公司, 湖南 长沙 410007
  • 收稿日期:2018-12-10 修回日期:2019-05-10 出版日期:2019-11-05 发布日期:2019-11-05
  • 通讯作者: 周任军(1964-),女,通信作者,博士,教授,从事电力系统优化、新能源接入系统、电力需求侧管理、分布式电源规划等研究,E-mail:zrj0731@163.com
  • 作者简介:武浩然(1994-),男,硕士研究生,从事电力系统运行与规划研究,E-mail:750748902@qq.com
  • 基金资助:
    国家自然科学基金资助项目(71331001)。

Determining Heat Storage Tank Capacities in Consideration of the Economic Operation of Virtual Power Plant

ZHOU Renjun1, WU Haoran1, FENG Jian2, WANG Yu2, WANG Yangzhi1, WANG Long1   

  1. 1. Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid, Changsha University of Science and Technology, Changsha 410004, China;
    2. Hunan Electric Power Design Institute, China Energy Engineering Group, Changsha 410007, China
  • Received:2018-12-10 Revised:2019-05-10 Online:2019-11-05 Published:2019-11-05
  • Supported by:
    This work is supported by the National Nature Science Foundation of China (No.71331001).

摘要: 新型热电系统中,蓄热装置可有效解耦“以热定电”约束、消纳弃风功率。针对蓄热罐容量最优配置问题,在风电-热电-蓄热罐-碳捕集虚拟电厂运行模型中,增设蓄热罐投资和维护成本,并将其折算为日折旧与日维护成本,建立了以实现虚拟电厂总投资运行成本为最低的目标函数,并考虑热电联产机组的热电耦合约束及蓄热罐、碳捕集机组爬坡运行约束等。仿真结果表明,对蓄热罐容量进行优化定容后,比传统给定蓄热罐容量更经济、蓄热作用更高效。蓄热罐最优容量不仅取决于虚拟电厂的经济性,同时还受虚拟电厂中碳捕集、风电消纳等约束影响,无碳捕集、风功率消纳比例要求越高,则蓄热罐最优容量越大。

关键词: 蓄热罐, 虚拟电厂, 热电, 碳捕集, 风电消纳

Abstract: In the novel thermoelectric system, a heat storage device can effectively decouple "heat-set power" constraints and resolve the curtailment of wind power. In view of the optimal allocation of thermal storage tank capacity, the investment and maintenance costs of the thermal storage tank were added to the virtual power plant operation model consisting of wind turbine, thermoelectricity, thermal storage tank and carbon capture, then converted into daily depreciation and daily maintenance costs. The objective function is defined as the minimization of total operating cost of the virtual power plant subject to the thermal-electric coupling constraints of the cogeneration unit as well as the ramping up constraints of thermal storage tanks and carbon capture units. The simulation results show that with the optimized capacity of the regenerator tank the unit operation is more economical than those with the traditional given regenerative tank capacity, and more efficient regarding the heat storage effect. The optimal capacity of the regenerator tank depends not only on the economic efficiency of the virtual power plant, but also on the constraints such as carbon capture, wind power consumption, etc. in the virtual power plant. Without carbon capture requirement, or with the higher wind power consumption requirements, the optimum capacity of the regenerator tank could be even higher.

Key words: heat storage tank, virtual power plant, cogeneration unit, carbon capture, wind power accommodation

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