Junyu Liang
CSG Electric Power Research Institute, China
Bio: Liang Junyu, PhD, Professorate Senior Engineer, Level-3 Leading Professional and Technical Expert
He has long been engaged in the research of simulation and control testing in the field of automation. As a core member, he has undertaken three major research projects, including energy conservation and supply-demand interaction of high-energy-consuming industries, and multi-agent game theory of virtual power plants. He has realized flexible control of industrial loads and aggregated control of virtual power plants, and made research achievements in the identification of industrial flexible regulation boundaries and regulation capacity, as well as the autonomous control of distributed photovoltaic power.
He has won 2 Provincial and Ministerial Second Prizes, 1 Grid-level First Prize and 2 Company-level Awards. He has participated in the compilation of 1 national standard, 2 enterprise standards and 2 association standards. He holds more than 30 authorized invention patents and has published over 10 SCI/EI indexed papers. He currently serves as a member of the Standardization Working Group on Demand Side and Power Trading of China Southern Power Grid, and has been selected into the Young Top-notch Talent Program of Yunnan High-level Talent Plan.
Junyu Liang's Keynote Speech Information
Abstract: This presentation systematically elaborates a technical framework for the dispatch of load-side flexible resources in new power systems with high shares of renewable energy. The core research revolves around three directions:
First, the development and adaptive evolution of digital twins for multi-type loads via a physics-data hybrid-driven approach. This enables hierarchical aggregation across multiple voltage levels—from industrial production lines and commercial buildings to residential users—establishing cross-spatiotemporal dynamic reconfiguration linkages. The result is a precise measurement of adjustability and dynamic resource pool management adaptable to multiple market scenarios, including electricity spot markets, ancillary services, and demand response.
Second, emergency load control for extreme contingency scenarios. This involves constructing classification profiles of emergency load resources covering users listed in the over-plan and emergency curtailment priority tables, developing boundary assessment methodologies for dispatch constraints, and establishing a group-control closed-loop execution mechanism. By integrating adjustable loads into the power grid's "four lines of defense" security framework, the system achieves precise emergency control through coordinated dispatch and demand-side load control.
Third, the large-scale integration of new-energy heavy-duty trucks in Yunnan Province. Addressing the distribution network hosting capacity constraints posed by MW-level charging surges, the research proposes load profiling methodologies for heavy-duty truck charging station clusters, alongside flexible dispatch and market mechanisms encompassing capacity verification, coordinated charging, PV-storage-charging-swapping integration, and VPP aggregation and trading.
The presentation delivers a comprehensive technical pathway spanning resource cognition, boundary assessment, strategy generation, and engineering deployment, providing a systematic solution to render load-side resources manageable, controllable, deployable, and verifiable in new power systems.