AUTHOR=Wang Dongfa , Lan Fei , Shen Huaqiang , Liu Minghui , Sun Zhenhua 

TITLE=Optimal scheduling of power systems considering carbon markets: Based on blockchain theory and multi-objective particle swarm optimization algorithm

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.953873

DOI=10.3389/fenrg.2022.953873

ISSN=2296-598X

ABSTRACT=In the context of double carbon, it is an inevitable requirement for low-carbon power industry to take economical efficiency and low-carbon into consideration. This paper introduces the carbon emission constraint into the economic dispatching of power system.then combined with the blockchain theories, the methods of particle swarm optimization and multi-objective particle swarm optimization(MOPSO) are employed to simulate the economic and environmental scheduling of power generation system based on six thermal power units. Research shows the constraint processing approach is practical and effective, and it can firmly adhere to equality requirements, which is superior to other algorithms' constraint processing methods; the algorithm is stable, and the global optimal solution can be determined under different initial solutions. In the process of multi-objective optimization, the solutions of POF obtained by using slope method are evenly distributed.