JOURNAL ARTICLE

Research on Demand Response Bidding Strategy of Virtual Power Plant Considering Uncertainty

Tao LiuLiu Jing-junWei Li

Year: 2019 Journal:   Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering Pages: 1-7

Abstract

Virtual power plant (VPP) is an important way to solve the problem of distributed generation participating in power market transaction. However, the uncertainty of distributed renewable energy output brings high transaction risk to virtual power plant. For the VPP with renewable energy permeability, considering the uncertainty of renewable energy output, load and market price as well as the influence of demand-side resource participation in the power market, this paper puts forward the demand response bidding strategy of VPP under the open environment of electricity selling side. A multi-stage bidding strategy model is built for VPP participating in day-ahead energy market, intraday demand response market and real-time energy market, and solved based on stochastic programming theory. The results of the examples can support the effectiveness of the model and provide decision support for the participation of distributed energy and virtual power plants in power market transactions under the background of power system reform in China.

Keywords:
Virtual power plant Demand response Bidding Electricity market Renewable energy Distributed generation Database transaction Computer science Environmental economics Electric power system Energy market Electricity Microeconomics Economics Power (physics) Engineering Electrical engineering

Metrics

3
Cited By
0.61
FWCI (Field Weighted Citation Impact)
11
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
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