Journal of Shanghai Jiao Tong University ›› 2026, Vol. 60 ›› Issue (4): 604-616.doi: 10.16183/j.cnki.jsjtu.2024.191

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Optimization Operation Strategy for Building-Based Virtual Power Plant Participation in Energy and Flexible Ramping Markets

WU Kailang1, LI Yinxiao1, LI Li2, ZHANG Qinglei2, GUO Hongye1()   

  1. 1 Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
    2 Dispatch and Control Center of State Grid Shaanxi Electric Power Company, Xi’an 710049, China
  • Received:2024-05-27 Revised:2024-07-11 Accepted:2024-10-23 Online:2026-04-28 Published:2026-04-29
  • Contact: GUO Hongye E-mail:hyguo@tsinghua.edu.cn

Abstract:

To address the rapidly growing demand for flexible ramping in power systems with the increasing penetration of renewable energy, an optimization operation strategy for a building-based virtual power plant (BVPP) is proposed to participate in energy and flexible ramping markets with the integration of demand-side flexible resources. First, flexible operation models for electric vehicle clusters and central air-conditioning systems are built to assess the flexible ramping supply capacity of the BVPP considering the physical characteristics of various devices within buildings, as well as environmental and human factors. Next, a day-ahead energy and flexible ramp market optimization operation model for BVPP is built based on conditional value-at-risk theory, considering the uncertainty in load and renewable energy output forecasts. Then, a risk effect factor is introduced and a revenue distribution mechanism within the BVPP is proposed based on a risk-modified Shapley method considering the impact of the risk preferences of BVPP on the revenue distribution among various entities. Finally, case studies are constructed to verify the economic and low-carbon advantages of the proposed BVPP market optimization operation strategy, as well as the rationality of the revenue distribution mechanism.

Key words: flexible resources, central air conditioning system (CACS), electric vehicles (EVs), conditional value-at-risk (CVaR), risk-modified Shapley method

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