All-Factor Theoretical Framework for Supply-Demand Synergy in New-Type Power Systems

doi:10.11930/j.issn.1004-9649.202503094

Abstract

Abstract:

Building a new-type power system dominated by new energy sources is a critical pathway towards achieving China's "Dual Carbon" strategic goals. Since the inception of the "14th Five-Year Plan" period, China's power system has undergone profound transformations in its generation mix, grid configuration, and technological foundation, making the enhancement of power supply-demand synergy capability under these new circumstances an urgent imperative. Focusing on the new-type power system, this study firstly defines the fundamental concept and connotation of the supply-demand synergy and systematically identifies the critical scenarios that require enhanced synergy. Then, the study conducts an in-depth analysis of all the factors influencing supply-demand synergy and their underlying mechanisms from perspective such as policy, market, technology, etc. Finally, on the basis of an in-depth deconstruction from multiple perspectives such as space, time, resource, and form, this study innovatively constructs a theoretical framework model for the synergy of supply-demand across all factor to provide a solid theoretical foundation for the innovative upgrading of the new-type power system, and to contribute to the effective planning of its high-quality development blueprintt.

Key words: carbon emission peak and carbon neutrality, renewable energy, supply-demand synergy, all-factor, new-type power system

QIU Zhongtao, GEGEN Aoqi, JIA Yuelong, WU Peng, ZHANG Kai, SUN Yi, ZHU Jin. All-Factor Theoretical Framework for Supply-Demand Synergy in New-Type Power Systems[J]. Electric Power, 2025, 58(10): 147-162.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202503094

https://www.electricpower.com.cn/EN/Y2025/V58/I10/147

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References 73

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研究领域	代表性研究	主要研究内容	研究方法	核心问题	关键结论
供需协同理论	文献 [10-12]	区域供需系统结构	系统动力学	评估电力供需系统发展状态	总体波动稳定，区域差异较大
		供需协同约束下新能源消纳能力	综述分析	构建新能源消纳能力评估的总体研究框架	从电力供需平衡、安全稳定约束和电能质量3个角度评估新能源消纳能力
		供需双侧协同耦合发展内涵	综述分析	供需双侧的减碳目标与行动步伐匹配程度	提出低碳约束条件下能源供需双侧协同发展的路径方案
供需协同认知	文献 [13-15]	供需双侧协同规划	有功-无功联合优化	灵活性资源双层优化配置方法	有效提升配电网运行灵活性和稳定性
供需协同认知	文献 [13-15]	灵活性供需平衡	建模与模拟计算	灵活性供需平衡评价、灵活性供需平衡模拟计算、兼顾不同天气过程的模拟场景构建	协调各类差异化资源高效经济地匹配系统灵活性供给和需求是关键
供需协同模式	文献 [16-21]	供需协同调度模型	主从博弈	决策新能源出力最恶劣概率分布下的最优日前调度方案	同时协同优化电价政策和负荷曲线
		微电网博弈模型		平衡电网的经济效益和物理稳定	提出分布式算法与基于共享备用电力的方案
		综合需求响应优化策略		用户参与综合需求响应不确定性与疲劳性	优化综合能源服务商成本与用户效益
		孤岛运行供需平衡		孤岛微网下供需双侧能源管理	提高能源管理效率
		多时段耦合实施激励		用户和微网运营商双方利益兼顾	实现引导用户参与并优化资源配置
供需协同全要素分析视角	文献 [22-25]	供-需双侧的灵活性资源、智能电网信息化自动化互动化、电力系统与新能源协调发展	综述分析建立指标评估体系	对各灵活性资源与电力系统各要素进行定量综合评价	新型电力系统供需双侧受到各类要素直接或间接影响
供需协同全要素分析方法	文献 [26-31]	Pearson 相关系数、灰色关联度、XGBoost机器学习	构建影响因素指标体系	探究影响因素并进行预测	通过统计学习数据挖掘方法进行分析
		相关性分析法、显著性检验法	建立神经网络预测模型	预测模型影响因素输入筛选	显著性水平作为输入提高预测可信度
		解释结构模型	建立意识模型并构建矩阵	低碳环境下电力需求影响因素筛选	基于经验和知识分析对电力需求的影响因素进行定量分析

研究领域	代表性研究	主要研究内容	研究方法	核心问题	关键结论
供需协同理论	文献 [10-12]	区域供需系统结构	系统动力学	评估电力供需系统发展状态	总体波动稳定，区域差异较大
		供需协同约束下新能源消纳能力	综述分析	构建新能源消纳能力评估的总体研究框架	从电力供需平衡、安全稳定约束和电能质量3个角度评估新能源消纳能力
		供需双侧协同耦合发展内涵	综述分析	供需双侧的减碳目标与行动步伐匹配程度	提出低碳约束条件下能源供需双侧协同发展的路径方案
供需协同认知	文献 [13-15]	供需双侧协同规划	有功-无功联合优化	灵活性资源双层优化配置方法	有效提升配电网运行灵活性和稳定性
供需协同认知	文献 [13-15]	灵活性供需平衡	建模与模拟计算	灵活性供需平衡评价、灵活性供需平衡模拟计算、兼顾不同天气过程的模拟场景构建	协调各类差异化资源高效经济地匹配系统灵活性供给和需求是关键
供需协同模式	文献 [16-21]	供需协同调度模型	主从博弈	决策新能源出力最恶劣概率分布下的最优日前调度方案	同时协同优化电价政策和负荷曲线
		微电网博弈模型		平衡电网的经济效益和物理稳定	提出分布式算法与基于共享备用电力的方案
		综合需求响应优化策略		用户参与综合需求响应不确定性与疲劳性	优化综合能源服务商成本与用户效益
		孤岛运行供需平衡		孤岛微网下供需双侧能源管理	提高能源管理效率
		多时段耦合实施激励		用户和微网运营商双方利益兼顾	实现引导用户参与并优化资源配置
供需协同全要素分析视角	文献 [22-25]	供-需双侧的灵活性资源、智能电网信息化自动化互动化、电力系统与新能源协调发展	综述分析建立指标评估体系	对各灵活性资源与电力系统各要素进行定量综合评价	新型电力系统供需双侧受到各类要素直接或间接影响
供需协同全要素分析方法	文献 [26-31]	Pearson 相关系数、灰色关联度、XGBoost机器学习	构建影响因素指标体系	探究影响因素并进行预测	通过统计学习数据挖掘方法进行分析
		相关性分析法、显著性检验法	建立神经网络预测模型	预测模型影响因素输入筛选	显著性水平作为输入提高预测可信度
		解释结构模型	建立意识模型并构建矩阵	低碳环境下电力需求影响因素筛选	基于经验和知识分析对电力需求的影响因素进行定量分析

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[2]	ZHOU Qinyong, HAO Shaoxu, DONG Wu, ZHANG Libo, ZHANG Jian, HE Hailei, ZHAO Leilei. Key Issues in Security and Stability Analysis for the "15th Five-Year" Power Grid Planning [J]. Electric Power, 2025, 58(9): 138-147.
[3]	ZHANG Nan, GUO Qinglei, DU Zhe, WANG Dong, ZHANG Yan, ZHAO Liang, JIANG Yu. A Trusted Contract-Based Trading Model for Distributed New Energy Aggregation Trading [J]. Electric Power, 2025, 58(9): 205-218.
[4]	TAN Lingling, ZHANG Wenlong, KANG Zhihao, YE Pingfeng, GAO Yehao, ZHANG Yumin. Grid-Forming Storage Planning for Renewable Energy Bases Considering the Co-optimization of Inertia Response and Primary Frequency Regulation Parameters [J]. Electric Power, 2025, 58(7): 147-161.
[5]	ZHAO Lin, GUO Shangmin, SHANG Wenying, DONG Jian, WANG Wei. Configuration Optimization of Renewable Energy Systems Based on FDOA [J]. Electric Power, 2025, 58(7): 168-176.
[6]	QIN Kun, QU Zhijiang, HAN Jianwei, XU Tao, GAO Feng, CHI Xiaoli. Battery Optimization Operation Strategy for the "SOP-Storage-Charger" Devices Based on Adjustable Virtual Impedance [J]. Electric Power, 2025, 58(6): 145-155.
[7]	WANG Caixia, WU Si, SHI Zhiyong. International Practice and Inspiration of Green Power Consumption Certification [J]. Electric Power, 2025, 58(5): 43-51.
[8]	YE Xi, HUANG Gechao, WANG Xi, WANG Yanfeng, ZHU Tong, HE Chuan, ZHANG Yuqi. Multi-source Coordinated Scheduling of Receiving Power System Considering Voltage Stability Based on Information Gap Decision Theory [J]. Electric Power, 2025, 58(5): 121-136.
[9]	WANG Xuanyuan, ZHANG Wei, LI Changyu, XIE Huan, GUO Qinglai, WANG Bin, ZHANG Yuqian. A Method for Calculating the Feasible Operation Region of Active and Reactive Power in Active Distribution Networks Considering Stochasticity [J]. Electric Power, 2025, 58(4): 182-192.
[10]	Lei ZHANG, Xiaowei MA, Manliang WANG, Li CHEN, Bingtuan GAO. Distributed Collaborative Control Strategy for Intra-regional AGC Units in Interconnected Power System with Renewable Energy [J]. Electric Power, 2025, 58(3): 8-19.
[11]	Tonghai JIANG, Feng WANG, Ziqi LIU, Shuaijie SHAN. A Joint Scenario Generation Method for Wind-Solar Meteorological Resources Based on Improved Generative Adversarial Network [J]. Electric Power, 2025, 58(3): 183-192.
[12]	Mingrun TANG, Ruoyang LI, Muran LIU, Xiaoyu CHENG, Yao LIU, Shuxia YANG. Prediction of Large-Scale Renewable Energy Access under Steady State of Electric Power System [J]. Electric Power, 2025, 58(2): 126-132.
[13]	Kun HUANG, Ming FU, Jiaxiang ZHAI, Haochen HUA. Distributed Coordination Optimization for Economic Operation of the Multi-Microgrid System Based on Improved Linearization ADMM [J]. Electric Power, 2025, 58(2): 193-202.
[14]	ZHANG Chen, GE Rui, JIN Xiaoling, SONG Pengcheng, SHENG Tongtian, XIONG Yuwei, DAI Xianzhong, ZHANG Xing. Analysis of Key Issues and Implications of the April 28 Great Power Blackout in Spain and Portugal [J]. Electric Power, 2025, 58(12): 119-127.
[15]	WU Di, WANG Zijing, WEN Ling, YU Lujia, YANG Lei, KANG Junjie. Analysis of Germany's Experience with Coal Power Phase-out Mechanism and Power Supply Safeguarding [J]. Electric Power, 2025, 58(10): 1-13.