Open AccessThe research on power dispatching to improve clean energy utilization
Author(s) -
Jianzhong Zhang,
Jingwen Li,
Xiang Shao,
Xiaoze Du
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/4/042013
Subject(s) - computer science , cuckoo search , energy (signal processing) , joint (building) , cuckoo , power (physics) , penalty method , mathematical optimization , simulation , engineering , algorithm , mathematics , particle swarm optimization , architectural engineering , zoology , statistics , physics , quantum mechanics , biology
This study aims to improve the clean energy utilization in the system of multi-source joint power dispatching and control. This paper constructs a joint optimization dispatching model of complementary power generation. Taking the minimum power generation cost as the objective function and adding clean energy penalty items to the objective function so as to achieve the goal of improving clean energy utilization. At the same time, based on the basic cuckoo algorithm, an improved cuckoo algorithm with chaotic perturbation is proposed to solve this model. Finally, the dispatching model is validated by multi-source joint dispatching system. Dispatching test results show that the method proposed in this paper provides better overall performance than traditional joint dispatching method.