Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk | Zendy

Liu Yang | Zendy; Liu Tianyu | Zendy; He Shusen | Zendy

Open Access

Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk

Author(s) -

Liu Yang,

Liu Tianyu,

He Shusen

Publication year - 2021

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2021.3089591

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

With the continuous advancement of power market reform, a cluster system composed of multiple microgrids can effectively improve the mutual support of energy between microgrids and improve the stability of system operation. This article comprehensively considers cogeneration, heat pumps, electrical energy storage, and thermal energy storage equipment to establish a framework for a multi-microgrid system. Secondly, due to the heterogeneity of wind power output, load demand and equipment parameters of different microgrids, considering the possibility of collaboration among multiple microgrids, the essence of energy complementarity to increase overall revenue is explained. On this basis, a cooperative game optimization dispatching model for microgrid group of cooling and heating power sources considering energy interaction is proposed. The Shapley value distribution method is used to distribute the surplus value generated by the cooperation. Furthermore, considering the uncertainty of wind power and load in multi-micro grids, a stochastic programming model based on conditional value-at-risk is established. The simulation analysis shows that the model proposed in this paper can effectively improve the surplus power and heat absorption capacity of the microgrid cooperative alliance, while reducing the impact on the power interaction of the main grid. The value of the conditional risk considered is also multi-microgrid. The system provides a reference plan for the trade-off between economic benefits and risk levels.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research