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文章摘要
基于舒适度的需求响应与碳交易的园区综合能源经济调度
Comfortable demand response and carbon trading based comprehensive energy economic dispatching in industrial parks
Received:March 09, 2021  Revised:March 25, 2021
DOI:10.19753/j.issn1001-1390.2022.11.001
中文关键词: 用户舒适度  碳中和  联合热电需求响应  电转气  新能源消纳  综合能源系统
英文关键词: User comfort , Carbon neutral , Combined thermoelectric demand response , Power to gas , New energy consumption , Multi-energy system
基金项目:四川省科技计划资助项目(2021YFSY0051)
Author NameAffiliationE-mail
Wang Shiju 四川大学 1754075541@qq.com 
Liu Tianqi* 四川大学 2339652189@qq.com 
He Chuan 四川大学 he_chuan@scu.edu.cn 
Nan Lu 四川大学 2339652189@qq.com 
Lv Xiangmei 四川大学 2429420565@qq.com 
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中文摘要:
      在碳中和背景下,高比例新能源消纳和减排目标的实现要求打破不同能源间的壁垒,进行多能源联合优化调度。电转气技术在消纳新能源的同时也捕捉固定碳。本文基于含电转气、电制热、热电联产、燃气轮机等设备的电、气深度耦合的园区多能源系统,提出考虑用户舒适度的联合热、电需求响应和碳交易成本,并以园区运行成本最低为目标,建立园区多能源系统联合经济调度模型。在满足用户舒适度前提下充分发挥联合热、电需求响应潜力,利用多能互补,源、荷互动,提高新能源消纳的同时降低园区运行成本。最后,通过仿真验证了该模型能有效降低园区运行成本、提高新能源消纳能力。
英文摘要:
      Under the background of carbon neutrality, the high proportion of new energy consumption and the realization of emission reduction targets require breaking the barriers between different energy sources and carrying out the joint optimization of multi-energy dispatching. Power to gas technology absorbs new energy and captures fixed carbon. Based on the deep coupling of electricity and gas in the multi-energy system of the park, including power-to-gas, electric heating, cogeneration of heat and power, gas turbine and other equipment, this paper proposes the joint thermal and electric demand response and carbon transaction costs considering the user comfort, and establishes the joint economic dispatching model of multi-energy system in the park with the goal of minimizing the operating cost of the park. On the premise of satisfying user comfort, it gives full play to the potential of combined thermal and electric demand response, utilizes multi-energy complementarity and interaction between source and charge, so as to improve the consumption of new energy and reduce the operating cost of the park. Finally, the simulation results show that the model can effectively reduce the operating cost of the park and improve the new energy consumption capacity.
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