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.
Highlights
With the increasing demand for energy and the acceleration of urban construction, a new district acts as a gathering place for energy utilization
The load density is a quantitative parameter that characterizes the concentrated degree of the load distribution, and its value is closely related to the spatial location, population density and per capita income of the functional districts
Assuming that the date number of each scenario in a typical timing situation of a certain energy load is L = {L1, L2, L3, ..., Ln }, where n is the number of scenarios, the electric/thermal/ cold load density of the ith functional district can be obtained through combination with the covered area
Summary
With the increasing demand for energy and the acceleration of urban construction, a new district acts as a gathering place for energy utilization. The obtained multi-scenario set, which is constructed by means of the clustering method based on the timing characteristics, can enhance the volatility of the daily output curves of the load fluctuation when compared with the single typical daily curve simulation. By considering the construction of different multi-scenarios and the weight of the electric/thermal/cold load for each functional district, the integrated load density can be obtained. What’s more, by taking the minimum improved integrated load moment of the system and the minimum partition inner interval ratio as the objective functions, a comprehensive energy system location optimization method for a typical new district is proposed in this paper. 2. The Construction of an Electric/Thermal/Cold Load Model in a Typical New District Based on Timing-Phasing and Hybrid Clustering. The Integrated Load Density of Each Functional District in a Typical New District
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