A pricing strategy based on bi-level stochastic optimization for virtual power plant trading in multi-market: Energy, ancillary services and carbon trading market-Reference-Cited by-同舟云学术

A pricing strategy based on bi-level stochastic optimization for virtual power plant trading in multi-market: Energy, ancillary services and carbon trading market

Published:2024-06 Issue: Volume:231 Page:110371
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Chen Yue^ORCID,Niu Yuguang,Qu Chenzhi,Du Ming,Liu Pin

Funder

Science and Technology Major Project of Inner Mongolia Autonomous Region of China

Publisher

Elsevier BV

Reference31 articles.

1. Research on bidding strategy of virtual power plant considering carbon-electricity integrated market mechanism;Liu;Int. J. Electr. Power Energy Syst.,2022

2. Optimal coordination of virtual power plant with photovoltaics and electric vehicles: A temporally coupled distributed online algorithm;Fan;Appl. Energy,2020

3. Aggregator pricing and electric vehicles charging strategy based on a two-layer deep learning model;Lin;Electr. Power Syst. Res.,2024

4. Economic-environmental scheduling of microgrid considering V2G-enabled electric vehicles integration;Huang;Sustain. Energy Grids Netw.,2022

5. A novel coordinated optimization strategy for high utilization of renewable energy sources and reduction of coal costs and emissions in hybrid hydro-thermal-wind power systems;Li;Appl. Energy,2022

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