Low-carbon Scheduling Strategy of Distributed Energy Resources Based on Node Carbon Intensity for Distribution Networks

被引:0
|
作者
Song Z. [1 ]
Feng H. [2 ]
Chen X. [3 ]
Zhang H. [2 ]
Zhan Z. [3 ,4 ]
Xu Y. [1 ]
机构
[1] Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing
[2] Lishui Supply of State Grid Zhejiang Electric Power Co., Ltd., Lishui
[3] State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
[4] Electric Power Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
来源
关键词
carbon emission flow theory; distributed energy resources; dual carbon goal; low-carbon scheduling; new power system; renewable energy sources;
D O I
10.13336/j.1003-6520.hve.20230216
中图分类号
学科分类号
摘要
The proposition of dual-carbon goal has accelerated the construction of new power systems. High penetration of renewable energy sources (RESs) and distributed energy sources (DERs) integrating into the power system pose a great challenge of how to improve the utilization of the flexibility potential provided by these various resources and to reduce the total carbon emission of the system. Consequently, we propose a low-carbon demand response (DR) strategy based on the carbon intensity for distribution networks (DNs), in which the low-carbon operation strategy can be realized by comprising both economic issue and low-carbon issue. First, we analyze the carbon intensity profile of the DN based on the carbon emission flow (CEF) theory. Then, we adjust the main grid power purchasing plan, the generation plan and guide the demand side resources to adjust their energy profile with the reference of carbon intensity. In order to ensure the safe and steady operation of the DN, the power system operation safety constraints are also included in the proposed strategy. Moreover, the numerical tests and comparison with other operation strategies have demonstrated that the proposed strategy can effectively improve the consumption of RES and reduce the branch loss, carbon emission and operation cost of DN. © 2023 Science Press. All rights reserved.
引用
收藏
页码:2318 / 2328
页数:10
相关论文
共 26 条
  • [1] XIAO Xianyong, ZHENG Zixuan, New power systems dominated by renewable energy towards the goal of emission peak & carbon neutrality: contribution, key techniques, and challenges, Advanced Engineering Sciences, 54, 1, pp. 47-59, (2022)
  • [2] TANG Chenghui, ZHANG Fan, ZHANG Ning, Et al., Day-ahead economic dispatch of power system considering renewable power uncertainty and demand response, Automation of Electric Power Systems, 43, 15, pp. 18-25, (2019)
  • [3] XU Xiaoyuan, WANG Han, YAN Zheng, Et al., Overview of power system uncertainty and its solutions under energy transition, Automation of Electric Power Systems, 45, 16, pp. 1-13, (2021)
  • [4] FAN Shuai, WEI Yihan, HE Guangyu, Et al., Discussion on demand response mechanism for new power systems, Automation of Electric Power Systems, 46, 7, pp. 1-12, (2022)
  • [5] ZHANG Zhigang, KANG Chongqing, Challenges and prospects for constructing the new-type power system towards a carbon neutrality future, Proceedings of the CSEE, 42, 8, pp. 2806-2818, (2022)
  • [6] ZHU Jianquan, LIU Haixin, YE Hanfang, Et al., Review on optimal operation of park-level integrated energy system, High Voltage Engineering, 48, 7, pp. 2469-2482, (2022)
  • [7] WEI Zhenbo, WEI Ping'an, GUO Yi, Et al., Decentralized low-carbon economic dispatch of electricity-gas network in consideration of demand-side management and carbon trading, High Voltage Engineering, 47, 1, pp. 33-44, (2021)
  • [8] HU Jingzhe, WANG Xu, JIANG Chuanwen, Et al., Low-carbon economic dispatch of power system considering participation of integrated energy service providers, Power System Technology, 44, 2, pp. 514-521, (2020)
  • [9] WANG Rui, CHENG Shan, WANG Yeqiao, Et al., Low-carbon and economic optimization of a regional integrated energy system based on a master-slave game with multiple stakeholders, Power System Protection and Control, 50, 5, pp. 12-21, (2022)
  • [10] DING Yuhao, LU Ganyun, LIU Yongwei, Et al., Day-ahead optimal scheduling of integrated energy system considering carbon emission target constraints and demand side response, Southern Power System Technology, 16, 8, pp. 1-11, (2022)