Multi-objective planning of multi-type distributed generation considering timing characteristics and environmental benefits


This paper presents a novel approach to multi-type distributed generation (DG) planning based on the analysis of investment and income brought by grid-connected DG. Firstly, the timing characteristics of loads and DG outputs, as well as the environmental benefits of DG are analyzed. Then, on the basis of the classification of daily load sequences, the typical daily load sequence and the typical daily output sequence of DG per unit capacity can be computed. The proposed planning model takes the location, capacity and types of DG into account as optimization variables. An improved adaptive genetic algorithm is proposed to solve the model. Case studies have been carried out on the IEEE 14-node distribution system to verify the feasibility and effectiveness of the proposed method and model.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Power Electronics, Machines and Power System (PEMPS)
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Uncontrolled Keywords: Environmental benefits,Multi-type distributed generation,Timing characteristics,Typical daily load sequence,Typical daily output sequence,Renewable Energy, Sustainability and the Environment,Energy Engineering and Power Technology,Energy (miscellaneous),Control and Optimization,Electrical and Electronic Engineering
Publication ISSN: 1996-1073
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014-01-01
Authors: Gao, Yajing
Liu, Jianpeng
Yang, Jin (ORCID Profile 0000-0002-1026-8495)
Liang, Haifeng
Zhang, Jiancheng



Version: Published Version

License: Creative Commons Attribution

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