Optimization of virtual power plant operation considering the active recovery of remaining available regulating capacity

doi:10.3969/j.issn.2097-0706.2025.07.006

Abstract

Abstract:

With the accelerated construction of the new power system， virtual power plants（VPPs） are increasingly participating in market-driven interactions with the grid， becoming an important tool for enhancing the regulation capacity of the new power system. To address the optimization problem of VPP operation under continuous market-based regulation， this paper proposes an optimization method for VPP operation considering the active recovery of remaining available regulating capacity. Based on the regulation and rebound characteristics of VPPs， the effect of active rebound on the recovery of remaining available regulating capacity was analyzed， and an equivalent energy storage regulation model for VPPs considering the active recovery of remaining available regulating capacity was constructed. Based on the equivalent energy storage regulation model， a market-based operation mode and joint optimization model for VPP participation in spot markets， peak-shaving， and frequency regulation were established. Simulation results of the case study indicated that the proposed method helped ensure continuous and stable VPP market operation while improving economic efficiency. However， market pricing should fully consider the regulatory capacity boundaries of the VPP.

Key words: new power system, virtual power plants, remaining available regulating capacity, active recovery, power spot market, peak-shaving auxiliary service, frequency regulation auxiliary service

CLC Number:

TK01：TM76

WANG Jun, DU Wei, WANG Xin, DOU Xun, DOU Zhenlan, XU Chen. Optimization of virtual power plant operation considering the active recovery of remaining available regulating capacity[J]. Integrated Intelligent Energy, 2025, 47(7): 55-63.

Figures/Tables 11

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场景	参与现货市场	参与调峰	参与调频
S1	√	×	×
S2	√	√	×
S3	√	×	√
S4	√	√	√

场景	C	C_E	R_P	R_F
S1	4 887.10	4 887.10
S2	4 387.60	4 937.05	549.45
S3	4 349.90	5 051.10		701.20
S4	4 041.75	5 030.45	355.25	633.45