<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To integrate the combination of electric vehicles and wind power of the transmission system, a wind farm environment multi-objective transmission model considering plug-in electric vehicles was established. The fuzzy optimal scheduling model for the environment and economy target of wind farm power system considering grid interconnection of electric vehicles designed by the author has the following characteristics: A fuzzy multi-objective dynamic scheduling model for the design of wind farm power system considering grid connection of plug-in electric vehicle is established, and the original 10 systems are taken as an example for power system design. The results show that the better model shows that the electric vehicle grid connection can greatly reduce the disadvantage of wind power stochastic uncertainties of system scheduling. The model can be used under different conditions further analyzing the rationality of the model determined by the author. An improved particle swarm optimization algorithm is used to solve this problem. The model takes the environmental and economic benefits into account, which improves the efficiency of the model.</p>
</abstract>

To integrate the combination of electric vehicles and wind power of the transmission system, a wind farm environment multi-objective transmission model considering plug-in electric vehicles was established. The fuzzy optimal scheduling model for the environment and economy target of wind farm power system considering grid interconnection of electric vehicles designed by the author has the following characteristics: A fuzzy multi-objective dynamic scheduling model for the design of wind farm power system considering grid connection of plug-in electric vehicle is established, and the original 10 systems are taken as an example for power system design. The results show that the better model shows that the electric vehicle grid connection can greatly reduce the disadvantage of wind power stochastic uncertainties of system scheduling. The model can be used under different conditions further analyzing the rationality of the model determined by the author. An improved particle swarm optimization algorithm is used to solve this problem. The model takes the environmental and economic benefits into account, which improves the efficiency of the model.

Construction of an economic environment scheduling system based on the multi-objective fuzzy optimization model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To integrate the combination of electric vehicles and wind power of the transmission system, a wind farm environment multi-objective transmission model...

Construction of an economic environment scheduling system based on the multi-objective fuzzy optimization model

Pubblicato online: 10 mar 2023

Pagine: 2495 - 2504

Ricevuto: 01 apr 2022

Accettato: 04 lug 2022

DOI: https://doi.org/10.2478/amns.2023.1.00430

Parole chiave
Multiple objectives, Fuzzy optimization model, Economics, environment dispatching system

© 2023 Lu Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Construction of an economic environment scheduling system based on the multi-objective fuzzy optimization model

Pubblicato online: 10 mar 2023

Pagine: 2495 - 2504

Ricevuto: 01 apr 2022

Accettato: 04 lug 2022

DOI: https://doi.org/10.2478/amns.2023.1.00430

Parole chiaveMultiple objectives, Fuzzy optimization model, Economics, environment dispatching system

© 2023 Lu Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Multiple objectives, Fuzzy optimization model, Economics, environment dispatching system