Call for Tracks

ICPEA 2026 | Hefei, China

Track 3: Optimal Operation of Multi-Level Power Grids Integrating Diverse Flexible Resources

融合多元灵活资源的多层级电网优化运行

Track Chair(s) / 专题主席

钟海旺 (Haiwang Zhong), 清华大学, 长聘副教授 |
宋玉光 (Yuguang Song), 清华大学, 助理研究员 |

Abstract / 论坛简介

English: With the rapid proliferation of electric vehicles, thermostatically controlled loads, distributed energy storage, and virtual power plants, massive demand-side flexible resources are emerging as critical assets for power system regulation. These resources possess significant yet heterogeneous adjustment potential, characterized by wide spatial distribution, diverse response dynamics, and strong behavioral uncertainty. Meanwhile, the power system is evolving toward a multi-level architecture of coordinated transmission-distribution-microgrid (TSO-DSO-microgrid) operation, in which flexibility must be aggregated, dispatched, and settled across hierarchical levels with distinct physical constraints and market interfaces. Traditional centralized dispatch paradigms struggle to accommodate the massive number, small individual capacity, and privacy requirements of these resources. This forum focuses on cutting-edge theories and engineering practices for multi-level grid optimization integrating diverse flexible resources. It aims to bring together experts from academia and industry to discuss key issues including supply-demand interactive optimization, hierarchical coordination architectures, flexibility aggregation and disaggregation, uncertainty-aware scheduling, and market mechanism design, providing theoretical and technical support for the secure, economic, and low-carbon operation of new power systems.

中文: 随着电动汽车、温控负荷、分布式储能与虚拟电厂等需求侧资源的快速普及,海量灵活性资源正成为电力系统调节能力的重要来源。此类资源调节潜力巨大但特性各异,呈现空间分布广、响应特性多样、行为不确定性强等特征。与此同时,电力系统正朝着输电网—配电网—微电网(主配微)多层级协同运行的方向发展,灵活性需要在物理约束与市场接口各异的层级间实现聚合、调度与结算。传统集中式调度模式难以适应此类资源数量众多、单体容量小、隐私保护要求高的特点。本论坛聚焦融合多元灵活资源的多层级电网优化运行的前沿理论与工程实践,旨在汇聚学术界与工业界专家,围绕供需互动优化、多层级协同架构、灵活性聚合与解聚、不确定性调度以及市场机制设计等关键问题展开研讨,为新型电力系统的安全、经济、低碳运行提供理论与技术支撑。

Topics / 主题征稿范围

  • Supply-Demand Interactive Optimization with Diverse Flexible Resources
    计及电动汽车、温控负荷、虚拟电厂与分布式储能等多元灵活资源的供需互动优化
  • Flexibility Potential Assessment, Aggregation, and Disaggregation Control
    海量需求侧资源的灵活性潜力评估、聚合建模与解聚控制方法
  • Coordinated Optimization and Distributed Algorithms for Multi-Level Systems
    主配微多层级电网协同优化架构与分布式求解算法
  • Robust, Stochastic, and Data-Driven Scheduling
    源荷双侧不确定性下多层级电网的鲁棒、随机与数据驱动调度方法
  • Market Mechanisms and Incentive-Compatible Pricing
    面向跨层级灵活性交易与需求响应的市场机制与激励相容定价方法
  • AI-Enabled Coordination and Privacy-Preserving Intelligence
    人工智能赋能的灵活资源协同调控:强化学习、图学习与隐私保护分布式智能

Invited Speakers / 拟邀请报告人

  • 陈奇芳 (北京交通大学)
  • 张儒峰 (东北电力大学)
  • 张涛 (合肥工业大学)
  • 乔文杰 (东北大学)