TY - JOUR
T1 - Simulation analysis of power spot market based on evolutionary game
AU - Zhao, Erdong
AU - Wang, Hao
AU - Lin, Hongyang
AU - Chen, Mingsong
N1 - Publisher Copyright:
© 2020 Institute of Physics Publishing. All rights reserved.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - As a new round of deepening reform in power system goes on in China, establishing an effective and complete power spot market nationwide based on the construction and operation of eight power spot trials becomes an important task for China. This paper analyzes the competitive strategies and capabilities of different types of power generation enterprises under the operating rules of the electricity spot market by building an evolutionary game model based on an improved genetic algorithm using MATLAB, which provides a valuable scientific basis for the construction and development of the future electricity spot market.
AB - As a new round of deepening reform in power system goes on in China, establishing an effective and complete power spot market nationwide based on the construction and operation of eight power spot trials becomes an important task for China. This paper analyzes the competitive strategies and capabilities of different types of power generation enterprises under the operating rules of the electricity spot market by building an evolutionary game model based on an improved genetic algorithm using MATLAB, which provides a valuable scientific basis for the construction and development of the future electricity spot market.
KW - Evolutionary game model
KW - Improved genetic algorithm
KW - Power generation enterprise
KW - Spot electricity market
UR - http://www.scopus.com/inward/record.url?scp=85096415892&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1624/2/022069
DO - 10.1088/1742-6596/1624/2/022069
M3 - Conference article
AN - SCOPUS:85096415892
SN - 1742-6588
VL - 1624
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 2
M1 - 022069
T2 - 2020 2nd International Conference on Computer Modeling, Simulation and Algorithm, CMSA 2020
Y2 - 21 June 2020 through 22 June 2020
ER -