Two-stage adjustable robust optimal dispatching model for multi-energy virtual power plant considering multiple uncertainties and carbon trading

2022 ◽  
pp. 130400
Author(s):  
Qingyou Yan ◽  
Meijuan Zhang ◽  
Hongyu Lin ◽  
Wei Li
Keyword(s):  
Power Plant ◽  
Carbon Trading ◽  
Virtual Power ◽  
Two Stage ◽  
Virtual Power Plant ◽  
Multiple Uncertainties

scholarly journals Risk averse optimal operation of a virtual power plant using two stage stochastic programming

Energy ◽  
2014 ◽  
Vol 73 ◽  
pp. 958-967 ◽  
Author(s):  
Mohammad Amin Tajeddini ◽  
Ashkan Rahimi-Kian ◽  
Alireza Soroudi
Keyword(s):  
Power Plant ◽  
Stochastic Programming ◽  
Optimal Operation ◽  
Risk Averse ◽  
Virtual Power ◽  
Two Stage ◽  
Virtual Power Plant

scholarly journals Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1488 ◽  
Author(s):  
Zuoyu Liu ◽  
Weimin Zheng ◽  
Feng Qi ◽  
Lei Wang ◽  
Bo Zou ◽  
...  
Keyword(s):  
Power Plant ◽  
Demand Response ◽  
Carbon Trading ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Optimal Dispatch

scholarly journals Analysis of GOA optimized two-stage controller for frequency regulation of grid integrated virtual power plant

2021 ◽  
Author(s):  
Ashtabhuj Kumar Srivastava ◽  
Abdul Latif ◽  
Subash Chandra Shaoo ◽  
Dulal Chandra Das ◽  
S.M. Suhail Hussain ◽  
...  
Keyword(s):  
Power Plant ◽  
Frequency Regulation ◽  
Virtual Power ◽  
Two Stage ◽  
Virtual Power Plant

scholarly journals Two-Stage Congestion Management Considering Virtual Power Plant With Cascade Hydro-Photovoltaic-Pumped Storage Hybrid Generation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 186335-186347
Author(s):  
Nan Lou ◽  
Yong Zhang ◽  
Yuqin Wang ◽  
Qixing Liu ◽  
Huiyong Li ◽  
...  
Keyword(s):  
Power Plant ◽  
Congestion Management ◽  
Virtual Power ◽  
Hybrid Generation ◽  
Two Stage ◽  
Virtual Power Plant ◽  
Pumped Storage

scholarly journals Research on Two-stage Game Strategy of Virtual Power Plant in Deep Peak Regulation Auxiliary Service Market

2021 ◽  
Vol 256 ◽  
pp. 01026
Author(s):  
Yuan Guili ◽  
Chen Sixuan ◽  
Dou Xiaoxuan
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Northern China ◽  
Combined Heat And Power ◽  
Correction Coefficient ◽  
Virtual Power ◽  
Two Stage ◽  
Service Market ◽  
Virtual Power Plant ◽  
Virtual Power Plants

There is a large number of combined heat and power units in northern China, and due to the limit of heating demand, the operating mode of setting electricity by heat of combined heat and power units has seriously took over the consumption space of other energy, resulting in severe wind power curtailment and rationing situation in some areas, so this paper studies the deep peak regulation bidding strategy problem considering multiple uncertainties on virtual power plants, and established a two-staged optimization model of virtual power plant to maximize the net revenue, then introduced the Shapely value method with correction coefficient redistribute the peak regulation revenue. The simulation results showed that the two-stage bidding model can not only improve the market competitiveness of the virtual power plant, but also promote the consumption of renewable energy and reduce the market peak regulation service cost. Meanwhile, the improved apportion method can effectively guarantee the enthusiasm of all kinds of units to participate in the deep peak regulation market.

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