ORIGINAL RESEARCH
Regional Distributed Energy System Planning:
A Case Study of an Ecological Town in China
| 1 | Department of Economic Management, North China Electric Power University, Baoding, China |
| 2 | Department of Computers, North China Electric Power University, Baoding, China |
CORRESPONDING AUTHOR
Juan Chen
North China Electric Power University, No. 619, Yonghua North Street, Baoding, Hebei, 071003 Baoding, China
North China Electric Power University, No. 619, Yonghua North Street, Baoding, Hebei, 071003 Baoding, China
Submission date: 2018-04-23
Final revision date: 2018-09-29
Acceptance date: 2018-10-15
Online publication date: 2019-05-31
Publication date: 2019-07-08
Pol. J. Environ. Stud. 2019;28(5):3615–3634
KEYWORDS
regional distributed energy systemplanninginformation physical fusion modeldecision and capacity optimizationstation network layoutecological towns in China
TOPICS
Environmental managementBioenergy from biomassWind energyGeothermal energyOthersPolicies for environmentally sustainable developmentSolar energy
ABSTRACT
The regional distributed energy system is a comprehensive energy utilization system distributed
on the user side, which has the characteristics of low carbon, flexibility, complementation,
interconnection and so on. It is an important trend of energy system development in China in the future.
Firstly, a multi-agent based information physical fusion model for regional distributed energy systems
is proposed in this paper. The optimization model of the regional distributed energy system based on
decision and capacity optimization is constructed at the macro and micro levels. At the same time,
the regional distributed energy system is regarded as a local area “energy Internet” network. Based on
graph theory and the layout optimization of an energy station, load center, energy storage center and
transmission network, we constructed the “station network” layout optimization model and designed
an optimization algorithm that can realize the global layout optimization of energy station, load center,
energy storage center and transmission network. Finally, taking an ecological town in central China
as an example, we verify the feasibility and validity of the model and method.
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