• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (1): 23-29.doi: 10.3969/j.issn.1000-7229.2016.01.004

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Supply and Demand Optimization Method of Urban Energy System Based on Improved Multispecies Hybrid Evolutionary Algorithm

LIU Shuyong1, LI Na1, ZENG Ming2, WANG Lei1, LIU Lixia1, LI Chunxue2, LIU Wei2, OUYANG Shaojie2   

  1. 1. State Grid Tianjin Economic Research Institute, Tianjin 300000, China;2. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Online:2016-01-01
  • Supported by:

    Project supported by National Natural Science Foundation of China (71271082)

Abstract:

This paper studies the supply and demand optimization method of urban energy systems. Firstly, taking the minimum total cost of energy system as the target, we establish the supply and demand optimization model of urban energy system with considering multiclass energy planning constraints. Secondly, we introduce the improved multispecies hybrid evolutionary algorithm to determine the optimal process of the model. Finally, we use the related results of the terminal energy consumption forecast model as demand constraints, and apply the model to the example analysis of T city. The results show that the optimal energy supply results during the future planning period obtained in the model can meet the requirements of urban energy relative policy documents, which will guide the energy supply of T city to clean and sustainable development direction.

Key words: urban energy system, optimization model of supply and demand, coupling relation among variables, improved multispecies hybrid evolutionary algorithm

CLC Number: