新型电力系统需求侧资源可调节能力量化与聚合方法研究综述

doi:10.3969/j.issn.1008-0198.2026.05.001

摘要/Abstract

摘要： 新型电力系统对电网灵活性提出更高要求,需求侧分布式资源规模化聚合成为提升调节能力的重要途径。然而单体资源容量小、分散异构特征导致聚合面临维数灾难、异质性强、计算复杂及多重不确定性等难题。本文系统综述需求侧资源可调节能力量化与聚合方法。首先,阐述灵活性可行域的概念及典型资源的数学模型特征;其次,分析聚合的数学本质及其非确定性多项式难题计算瓶颈,进而分类对比外近似与内近似两类聚合方法,剖析其在精度、效率与可行性之间的关系;然后,探讨不确定性、网络约束及降维冗余处理等关键问题;最后,对高精度内近似、数据物理融合驱动、鲁棒聚合及面向新型资源的定制化聚合方法等研究方向进行展望。

关键词: 需求侧资源, 灵活性可行域, 闵可夫斯基和, 内近似, 外近似

Abstract: The new power system imposes higher requirements on grid flexibility, and the large-scale aggregation of distributed resources on the demand side has become an important way to enhance regulation capabilities. However, the small capacity, dispersion, and heterogeneity of individual resources present challenges such as the curse of dimensionality, strong heterogeneity, computational complexity, and multiple uncertainties in aggregation. This paper systematically reviews methods for quantifying and aggregating the adjustable capacity of demand-side resources. First, the concept of flexibility feasible region and the mathematical modeling characteristics of typical resources are introduced. Second, it analyzes the mathematical essence of aggregation and its NP-hard computational bottleneck, followed by a classification and comparison of outer and inner approximation methods, examining their trade-offs among accuracy, efficiency, and feasibility. Then, the key issues including uncertainty, network constraints, and dimensionality reduction redundancy handling are discussed. Finally, this paper provides an outlook on research directions such as high-precision inner approximation methods, data-physics hybrid-driven frameworks, robust aggregation machanisms, and customized solutions for emerging resource types.

Key words: demand-side resources, flexibility feasible region, Minkowski sum, inner approximation, outer approximation

中图分类号:

TM71

童宇轩, 郭正阳, 宋昌浩. 新型电力系统需求侧资源可调节能力量化与聚合方法研究综述[J]. 湖南电力, 2026, 46(5): 1-9.

TONG Yuxuan, GUO Zhengyang, SONG Changhao. Overview of Quantification and Aggregation Methods for Demand-Side Resource Adjustable Capacity in New-Type Power Systems[J]. Hunan Electric Power, 2026, 46(5): 1-9.

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