Jul 2026· 2026 5th International Conference on Energy and Electrical Power Systems (ICEEPS)· pp. 168-173· 0 citations· 11 references
Abstract
A method for dynamic aggregation and regulation management of large-scale resources in a virtual power plant (VPP) is proposed. By determining the peak periods, off-peak periods, and normal periods of regional electricity consumption, the power system load demand data, flexible load characteristic data, and price data for each period are obtained. The operation objective function of VPP under the market mechanism is proposed, and its participation in the market operation mechanism is established. The types of flexible resources are identified, and a multi-flexible resource dynamic aggregation model of VPP is constructed. The improved wolf pack algorithm (WPA) is used to optimize the satisfaction factor of the satisfactory decision. The results show that compared with traditional methods, the improved WPA algorithm can significantly reduce costs, enabling VPP to meet electricity demand through gas turbines and energy storage equipment during peak periods, thereby enhancing the flexibility and economy of the power system.
Large-scale wind and photovoltaic integration can reduce fossil-fuel consumption, but renewable output uncertainty and anti-peak-regulation characteristics increase curtailment, dispatch complexity and ancillary-service costs. To improve renewable energy accommodation, this paper proposes a dynamic virtual power plant...
Jian-Li Zhu, Zhi-Yun Hu, Hong-Lian Zhou et al.· International Conference on...· 0 citations
The growing integration of renewable energy has intensified peak-shaving and frequency-regulation demands on hydropower systems, causing frequent load fluctuations and imposing stringent timeliness requirements on load distribution among cascade hydropower plants (LDCHP). Conventional methods such as dynamic programmin...
Yu-Xiu Lv, Jing-Jie Ma, Q. Tan et al.· Water resources management· 0 citations
The developments of VPPs in key technologies, scheduling and market design are reviewed, showing how the future digital technologies will transform VPPs out of simple resource pooling to multi-market revenue generation.
Hui-Qun Yu, Zhi-Xin Chen, Xiao-Yan Su et al.· Energies· 0 citations
To address the strong load rigidity and high energy consumption of large-scale broiler breeding, as well as the lack of precise load-characteristic support and efficient scheduling methods for breeding-oriented energy supply and consumption optimization, this paper conducts load-characteristic analysis for large-scale...
Kang Zhang, Hai-Yue Yang, Ze-Ning Wang et al.· Processes· 0 citations
Recently, transmission congestion remains a critical challenge in power systems, especially in deregulated markets. While Generation Rescheduling (GR) is the conventional approach for Congestion Management (CM), integrating Demand Response (DR) and Distributed Generation (DG) has also proven to offer system operational...
Van-Tuan Duong, L. Duong· IEEE Access· 0 citations
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