Multi-Objective Planning of Multi-Type Distributed Generation Considering Timing Characteristics and Environmental Benefits

Yajing Gao, Jianpeng Liu, Jin Yang, Haifeng Liang and Jiancheng Zhang
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Yajing Gao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jianpeng Liu: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jin Yang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Haifeng Liang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jiancheng Zhang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2014, vol. 7, issue 10, 1-16

Abstract: 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.

Keywords: timing characteristics; environmental benefits; multi-type distributed generation; typical daily load sequence; typical daily output sequence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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