Locating Optimization of an Integrated Energy Supply Centre in a Typical New District Based on the Load Density

Hong Li, Xiaodan Wang, Jie Duan, Feifan Chen and Yajing Gao
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Hong Li: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Xiaodan Wang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jie Duan: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Feifan Chen: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Yajing Gao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2018, vol. 11, issue 4, 1-22

Abstract: In view of the obvious distinctions among energy utilization characteristics in various functional districts, a method for optimizing the location of an integrated energy system for a typical new district is proposed. This method integrates the spatial location and energy load density of each functional district. Based on the timing characteristics and seasonal division of electric/thermal/cold load fluctuations, the improved fuzzy C means (FCM) algorithm combined with the density-based spatial clustering of applications with noise (DBSCAN) is applied to build different multi-scenarios in various functional districts, and a more representative ‘typical maximum load value’ is obtained. The architectural characteristics and the different energy utilization habits are combed on the weight of the electric/thermal/cold load for each functional district. By taking the minimum improved integrated load moment of the system and the minimum partition inner interval ratio as the objective functions, the location optimization model of an integrated energy supply centre in a typical new district is established, and the improved adaptive evolutionary immune algorithm is applied to the nested model. Finally, a typical new district in Northern China is taking as an example to verify the correctness and feasibility of the planning method proposed in this paper.

Keywords: integrated energy supply system; location optimization of energy supply centres; integrated load density; improved fuzzy C means algorithm; improved adaptive evolutionary immune algorithm (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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