Optimal Scheduling Strategy of Virtual Power Plant with Carbon Emission and Carbon Penalty Considering Uncertainty of Wind Power and Photovoltaic Power

Authors

Jijun Shui, College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaFollow
Daogang Peng, College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; Shanghai Engineering Research Center of Intelligent Management and Control for Power Process, Shanghai 200090, ChinaFollow
Yankan Song, Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610042, China
Qiang Zhou, Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610042, China

Abstract

Abstract: To better meet the development needs of China's new power system, an optimal scheduling strategy of virtual power plant(VPP) with carbon emission and carbon penalty considering the uncertainty of wind power and photovoltaic power is proposed. The mathematical description of photovoltaic(PV), wind turbine(WT), combined heat and power(CHP) unit and energy storage system (ESS) is carried out, and a wind-solar output model considering the uncertainty is established. The scenario generation and reduction method is used to generate the typical scenario. To maximize the overall operation benefit of VPP, considering carbon emission cost and carbon penalty, an optimal scheduling model of VPP in typical scenario is established. Example results show that the proposed strategy is conducive to tapping the potential of ESS, improving the system economy and reducing the carbon emission. The example built on CloudPSS simulation platform further verifies the effectiveness of the strategy. It provides a feasible way for the subsequent optimization scheduling of virtual power plants.

Recommended Citation

Shui, Jijun; Peng, Daogang; Song, Yankan; and Zhou, Qiang (2024) "Optimal Scheduling Strategy of Virtual Power Plant with Carbon Emission and Carbon Penalty Considering Uncertainty of Wind Power and Photovoltaic Power," Journal of System Simulation: Vol. 36: Iss. 2, Article 3.
DOI: 10.16182/j.issn1004731x.joss.23-0840
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss2/3

First Page

305

Last Page

319

CLC

TP391.9

Recommended Citation

Shui Jijun, Peng Daogang, Song Yankan, et al. Optimal Scheduling Strategy of Virtual Power Plant with Carbon Emission and Carbon Penalty Considering Uncertainty of Wind Power and Photovoltaic Power[J]. Journal of System Simulation, 2024, 36(2): 305-319.

Corresponding Author

Peng Daogang

DOI

10.16182/j.issn1004731x.joss.23-0840