Abstract

In order to effectively apply the detailed geographic and load information provided by digital technology, this paper proposes a practical double-Q planning model for large-scale medium voltage distribution network. Meanwhile, a coding method and an elite Ant-Q algorithm(EAQ) suitable for solving the model in this paper are proposed. Based on the basic characteristics of the medium voltage distribution network, the components in the distribution network are abstracted into nodes and branches in the graph theory. A variety of practical issue, such as cost parameters (investments, maintenance, reliability) and technical constraints (feeder capacity constraints, number constraints of substation feeder), as well as road network constraints and connection mode constraints are taken into consideration. In addition, the storage of road network matrix information, reliability evaluation algorithm and model solving algorithm are suitable for large-scale distribution network. Finally, the proposed model and algorithm are applied to a business area to be planned in Guangzhou, which verifies the effectiveness of the proposed model and algorithm.

Highlights

  • Nowadays, with the development of digital platform [1], [2], distribution network modeling needs further integration of various system platforms on the basis of Common Information Model standard

  • Based on the abstraction of nodes and branches, the double-Q planning model of medium-voltage distribution network is to design a grid with the shortest feeders and the highest reliability to meet the electrical and topological constraints

  • It is easy to cause the dimension explosion problem when employing the 0-1 variable coding method to solve the large-scale node distribution network planning model, which makes it impossible to converge to the solution

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Summary

INTRODUCTION

With the development of digital platform [1], [2], distribution network modeling needs further integration of various system platforms on the basis of Common Information Model standard. One of the planning contents is grid structure, which is carried out under the complex objective function considering technical, economic and topological constraints. Most of these studies are only at the theoretical level and are rarely applied to engineering practice. Moreira et al proposed a large-scale distribution network planning model, which can obtain the optimal distribution network under radial constraints with higher efficiency by using branch exchange method and parallel computing [6]. The overhead line segment between two sectional switches is abstracted as branch, and the cable line between two ring-network cabinets is abstracted as branch

DATA PROCESSING OF ROAD NETWORK TOPOLOGY
DECISION VARIABLES
OBJECTIVE FUNCTION
CONCLUSION
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