Open AccessIntegrated scheduling method of intelligent distribution network DSR and renewable energy based on MCS algorithm
Author(s) -
Fengkai Qiu,
Cheng Fang,
Ming Zhang,
Shiming Tian,
Zhengxian Zheng
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/3/032010
Subject(s) - renewable energy , computer science , cuckoo search , scheduling (production processes) , distributed generation , distributed computing , smart grid , grid , schedule , algorithm , mathematical optimization , engineering , electrical engineering , particle swarm optimization , geometry , mathematics , operating system
In the intelligent distribution network environment, the demand side resources (DSR) are the electric vehicle, energy storage, controllable load and other resources located in different locations, showing the characteristics of small single capacity and decentralized layout. How to build a multi time scale integrated scheduling framework of demand side resources and renewable energy, to schedule the distributed demand side resources in an orderly manner, and to realize the efficient integration of demand side resources and renewable energy, are the key problems of demand side resources participating in grid scheduling. Based on this, this paper proposes a multi time scale integrated scheduling method based on hierarchical scheduling for DSR and renewable energy in intelligent distribution network, and uses the modified cuckoo search algorithm (MCS) to solve the problem. The effectiveness of the proposed model and algorithm is verified by the integrated scheduling of electric vehicles and renewable energy in intelligent distribution network.