Keywords
environmental economic dispatching, direct power purchase by large consumer, energy storage system, carbon emissions trading, chaotic mapping
Abstract
With the deepening of power system reform, the implementation of energy conservation and emission reduction policies, the increase of wind power integration capacity and the application of new energy storage technology, the power system dispatch faces new challenges. Under the background, an environmental economic dispatch (EED) model is proposed for the wind-thermal-storage integrated system with direct power purchase from large consumers. A multi-objective optimization problem including the wind power output, carbon emissions trading, energy storage system and direct power purchase of large consumers is considered comprehensively in the model. Meanwhile, the influences of energy storage systems and large consumers on the environmental and economic benefits of wind-thermal combined system scheduling are analyzed. Besides, a chaotic adaptive glowworm swarm optimization (GSO) algorithm is introduced to solve the problem of oscillation in the optimization of traditional GSO algorithm. At the end, The IEEE-39 system is included for the simulation. It is shown that the proposed EED model is accurate, and the chaos adaptive glowworm swarm optimization algorithm is effective in solving this problem.
DOI
10.19781/j.issn.1673-9140.2022.03.001
First Page
3
Last Page
11
Recommended Citation
LI, Hui; YU, Deao; FAN, Xinqiao; and LIU, Sijia
(2022)
"Environmental economic dispatch for wind-thermal-storage system with direct power purchasing from large consumers,"
Journal of Electric Power Science and Technology: Vol. 37:
Iss.
3, Article 1.
DOI: 10.19781/j.issn.1673-9140.2022.03.001
Available at:
https://jepst.researchcommons.org/journal/vol37/iss3/1