Decision-Making Models of Distribution Network Investment Allocation Among Subordinate Areas
It has become a problem for a large power supply company to reasonably and effectively distribute distribution network investment to subordinate areas. In this paper, the concepts and calculation models of rigid investment, flexible investment, and economic investment are proposed for each subordinate area, and an expression of reconstruction ratio is derived. Also, four investment allocation models are put forward, which involve the allocation of flexible investments. A numerical example shows that the proposed decision-making models are practical. INTRODUCTION In order to meet the social demand for electricity, substantial investment is used for the construction of distribution networks, but difficulties have arisen regarding the investment allocation for different areas. Therefore, a reasonable decision-making model for investment allocation need to be built. 1,2 At present, the decision-making methods of distribution network investment allocation are divided into three categories. The methods of first category are the traditional distribution network planning based investment allocation. 3,4 The methods of second category are the computer automatic planning based investment allocation. 5-6 The methods of third category are the system evaluation based investment allocation decision-making. 7-8 In this paper, new decision-making models are proposed for the distribution network investment allocation among subordinate areas, and their practicability and effectiveness are verified through using a real distribution network. RIGID INVESTMENT The total rigid investment i R I in the i-th area can be represented by = + + i R BR EF i i i SR I I I I (1) Xu MING 1 , Hao SUN 1 , Zhu-ding WANG 2 , Xiao TAN 2 1 Wuhan Power Supply Company, Wuhan 43000, China. 2 State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), 400044, Chongqing, China Corresponding author: 381108932@qq.com