ELECTRIC-CARBON OPTIMIZATION CONTROL STRATEGY WITH MULTI-LEVEL OPERATION INDICATOR COORDINATION IN NEW POWER SYSTEM

Zhou Wanpeng; Li Zhengxi; Yang Libin; Wang Kai

doi:10.19912/j.0254-0096.tynxb.2025-0172

PDF(1424 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (6) : 102-108. DOI: 10.19912/j.0254-0096.tynxb.2025-0172

ELECTRIC-CARBON OPTIMIZATION CONTROL STRATEGY WITH MULTI-LEVEL OPERATION INDICATOR COORDINATION IN NEW POWER SYSTEM

Zhou Wanpeng, Li Zhengxi, Yang Libin, Wang Kai

Author information +

History +

Abstract

In view of the characteristics of multi-regional correlation of full-network power flow in the new-type power system, an optimization method for coordinated electricity-carbon operation and a new full-network multi-regional cooperative optimization method for dynamically matching coordinated electricity-carbon operation are proposed. Firstly, according to the characteristics of cascade multi-source load-storage units in sub-regions of the new-type power system, the differences in operational regulation efficiency of various load-storage units within the region are analyzed, and a gradient cooperative optimization method for load-storage unit indicators is proposed. Then, aiming at the diversified characteristics of electricity-carbon regulation of load-storage units under different operating modes, a fine-tuning optimization method for load-storage unit control parameters based on complete state space and operational mode feedback is studied, and a 'multi-level multi-core' convolutional neural network model is established. Finally, a simulation model is constructed for validation. Simulation results show that the proposed multi-level indicator cooperative electricity-carbon power flow optimization control strategy can effectively enhance the electricity-carbon coordination capability and electricity-carbon regulation level of the new-type power system.

Key words

new power system / electric-carbon flow / collaborative optimization / optimal control / convolutional neural network / operational indicators

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhou Wanpeng, Li Zhengxi, Yang Libin, Wang Kai. ELECTRIC-CARBON OPTIMIZATION CONTROL STRATEGY WITH MULTI-LEVEL OPERATION INDICATOR COORDINATION IN NEW POWER SYSTEM[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 102-108 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0172

References

[1] 李云鸷, 刘吉臻, 胡阳. 计及低碳响应的综合能源系统多时间尺度源-荷互动优化调度[J]. 太阳能学报, 2024, 45(11): 84-98.
LI Y Z, LIU J Z, HU Y.Multi-time scale source-load interactive optimal scheduling of integrated energy system considering low-carbon demand response[J]. Acta energiae solaris sinica, 2024, 45(11): 84-98.
[2] 张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42(8): 2806-2818.
ZHANG Z G, KANG C Q.Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8): 2806-2818.
[3] 柳思贤, 丁坤, 董海鹰. 考虑碳捕集和电转气的零碳园区综合能源系统经济调度[J]. 太阳能学报, 2024, 45(9): 188-196.
LIU S X, DING K, DONG H Y.Zero-carbon economic dispatch of park integrated energy system considering carbon capture and power to gas[J]. Acta energiae solaris sinica, 2024, 45(9): 188-196.
[4] 安源, 苏瑞, 郑申印, 等. 计及碳交易和源-荷侧资源的综合能源系统低碳经济优化[J]. 太阳能学报, 2023, 44(11): 547-555.
AN Y, SU R, ZHENG S Y, et al.Low carbon economic optimization of integrated energy system considering carbon trading and source-load side resources[J]. Acta energiae solaris sinica, 2023, 44(11): 547-555.
[5] 杨浩, 王佳怡, 易文飞, 等. 知识-数据融合驱动的配电网光伏逆变器电压/无功优化自适应控制[J]. 中国电机工程学报, 2025, 45(22): 8691-8705.
YANG H, WANG J Y, YI W F, et al.Hybrid knowledge-data driven adaptive voltage/var optimization control of photovoltaic inverters in distribution networks[J]. Proceedings of the CSEE, 2025, 45(22): 8691-8705.
[6] 曾子龙, 李勇, 丁心志, 等. 考虑线路动态电热特性的交直流系统分布鲁棒潮流优化策略[J]. 电工技术学报, 2024, 39(21): 6700-6719.
ZENG Z L, LI Y, DING X Z, et al.Distributionally robust power flow optimization strategy for hybrid AC/DC grids considering dynamic electro-thermal properties of lines[J]. Transactions of China Electrotechnical Society, 2024, 39(21): 6700-6719.
[7] 刘昕玥, 王果, 闵永智. 考虑可再生能源消纳的园区碳排放效益优化模型[J]. 太阳能学报, 2024, 45(6): 140-149.
LIU X Y, WANG G, MIN Y Z.Optimization model of carbon emission benefits in industrial parks considering consumption of renewable energy[J]. Acta energiae solaris sinica, 2024, 45(6): 140-149.
[8] 袁世琦, 潘鹏程, 魏业文, 等. 园区综合能源系统低碳经济优化调度模型研究[J]. 太阳能学报, 2024, 45(3): 347-356.
YUAN S Q, PAN P C, WEI Y W, et al.Study on low-carbon economic optimal scheduling model of community integrated energy system[J]. Acta energiae solaris sinica, 2024, 45(3): 347-356.
[9] 赵智勇, 李卫军, 郑秒, 等. 基于改进蜉蝣算法的光伏多峰值最大功率跟踪特性研究[J]. 太阳能学报, 2024, 45(12): 77-84.
ZHAO Z Y, LI W J, ZHENG M, et al.Research on photovoltaic multi-peak maximum power tracking characteristics based on improved mayfly algorithm[J]. Acta energiae solaris sinica, 2024, 45(12): 77-84.
[10] 栗然, 吕慧敏, 彭湘泽, 等. 考虑动态定价和碳交易的多园区综合能源服务商低碳合作优化策略[J]. 太阳能学报, 2024, 45(3): 337-346.
LI R, (LÜ/LV/LU/LYU) H M, PENG X Z, et al. Optimization strategy for low-carbon cooperation of multi-district integrated energy service providers considering dynamic pricing and carbon trading[J]. Acta energiae solaris sinica, 2024, 45(3): 337-346.
[11] 朱西平, 江强, 钟宇, 等. 计及前瞻风险的综合能源系统低碳经济调度优化[J]. 太阳能学报, 2023, 44(6): 113-121.
ZHU X P, JIANG Q, ZHONG Y, et al.Low-carbon economic dispatch optimization of integrated energy system considering forward-looking risks[J]. Acta energiae solaris sinica, 2023, 44(6): 113-121.
[12] 李帅虎, 欧阳中, 孙杰懿, 等. 面向沙戈荒区域新能源消纳的电力系统日前低碳调度策略[J]. 太阳能学报, 2024, 45(7): 82-91.
LI S H, OUYANG Z, SUN J Y, et al.Day-ahead low-carbon dispatching strategy of power system for new energy consumption in desert, Gobi and desertification land[J]. Acta energiae solaris sinica, 2024, 45(7): 82-91.
[13] 徐博涵, 向月, 潘力, 等. 基于深度强化学习的含高比例可再生能源配电网就地分散式电压管控方法[J]. 电力系统保护与控制, 2022, 50(22): 100-109.
XU B H, XIANG Y, PAN L, et al.Local decentralized voltage management of a distribution network with a high proportion of renewable energy based on deep reinforcement learning[J]. Power system protection and control, 2022, 50(22): 100-109.
[14] 段新会, 黄嵘, 齐传杰, 等. 计及碳交易与需求响应的微能源网双层优化模型[J]. 太阳能学报, 2024, 45(3): 310-318.
DUAN X H, HUANG R, QI C J, et al.Bi-level optimization model for micro energy grid considering carbon trading and demand response[J]. Acta energiae solaris sinica, 2024, 45(3): 310-318.
[15] 葛晓琳, 余捷, 符杨, 等. 考虑源荷互动的电力系统随机碳流优化[J]. 中国电机工程学报, 2024, 44(24): 9571-9582.
GE X L, YU J, FU Y, et al.Stochastic carbon flow optimization of power system considering source-load interaction[J]. Proceedings of the CSEE, 2024, 44(24): 9571-9582.
[16] 毕瀚文, 范晓舟, 肖海, 等. 支撑电力系统全环节碳流追踪的节点导纳矩阵算法研究[J]. 中国电机工程学报, 2023, 43(20): 7881-7891.
BI H W, FAN X Z, XIAO H, et al.A node admittance matrix algorithm to support the carbon emission tracing model of whole power system[J]. Proceedings of the CSEE, 2023, 43(20): 7881-7891.