Journal of the Operations Research Society of China ›› 2020, Vol. 8 ›› Issue (2): 295-309.doi: 10.1007/s40305-020-00304-x

• Special Issue: Mathematical Optimization: Past, Present and Future • Previous Articles     Next Articles

Review of Mathematical Methodology for Electric Power Optimization Problems

Dong Han1, Xiao-Jiao Tong2   

  1. 1 Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 School of Mathematics and Computational Science, Hunan First Normal University, Changsha 410205, China
  • Received:2019-04-22 Revised:2020-03-27 Online:2020-06-30 Published:2020-07-07
  • Contact: Xiao-Jiao Tong, Dong Han E-mail:dysftxj@hnfnu.edu.cn;han_dong@usst.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (No. 11671125).

Abstract: Electric power system is a physical energy system consisting of power generation, substations, transmission, distribution, and consumption. The objective of power system optimization is to improve power system security, economy, and reliability. This paper summarizes the classical mathematical optimization methods and modeling techniques of power system optimization associated with system planning, operation, and control. Along with the development of electric power industry, the concept of Energy Internet is addressed, which consists of power network, gas network, and transportation network. Under such new environments, electric power optimization faces some challenging with respect to the cooperation of multi-energy networks. According to the design structure and operational characteristics of the Energy Internet, some research areas of electric power optimization are presented from the view of mathematical optimization modeling and calculation. The aim is to provide some optimization methodology to solve the optimal issues of power system under the background of Energy Internet.

Key words: Mathematical optimization, Electric power system, Energy Internet, Modeling and algorithm

CLC Number: