Open AccessSequence‐based differential evolution for solving economic dispatch considering virtual power plant
Author(s) -
Yang Yude,
Wei Bori,
Qin Zhijun
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6432
Subject(s) - economic dispatch , virtual power plant , convergence (economics) , mathematical optimization , smart grid , computer science , sequence (biology) , distributed generation , grid , differential evolution , population , power (physics) , electric power system , engineering , algorithm , renewable energy , mathematics , physics , geometry , demography , quantum mechanics , sociology , economic growth , biology , electrical engineering , economics , genetics
The economic dispatch (ED) of distributed energy resources (DERs) is an important and challenging problem in smart grid operation. Different frameworks are proposed for solving this issue, among which the virtual power plant (VPP) is considered as a promising means for ED in smart grids with DERs. This study presents a novel optimisation algorithm entitled sequence‐based differential evolution (SDE) for solving generation dispatch among several DERs with VPPs. In the proposed method, a novel and efficient initialisation technique, namely sequence‐based deterministic initialisation, is used to generate high‐quality initial population. Besides, a self‐adaptation mechanism is utilised to eliminate the difficulty of tuning the problem‐specific control parameters of the algorithm. Subsequently, the SDE is applied for solving the ED model to obtain the optimal power generation share of the VPP. Case studies compare the solutions obtained by the proposed method with several state‐of‐the‐art algorithms in the existing literature. It is validated the proposed method is advantageous for ED with VPPs in better solution accuracy, less computational burden, and faster convergence.