Abstract
Reasonable distribution network planning schemes can not only improve the power quality and power supply capacity of the power system, but also increase the economic benefits and welfare of the whole society. In this work, a bi-level optimization model is proposed for the joint planning of substations and lines in looped urban distribution systems. The upper-level model aims to address the substation locating and sizing problem, whereas the lower-level model the network planning problem. Both the substations directly supplying power to a load and the contralateral substations that act as backup power source to the load are considered in the bi-level model. In order to solve the bi-level planning model which is mathematically mixed integer programing and with plenty of continuous and discrete variables, the bird swarm algorithm is improved and applied based on the idea of parallel computing of big data theory. Simulations on actual planning problems are employed to verify the effectiveness of the proposed bi-level distribution network planning model and the parallel bird swarm algorithm.
Highlights
Reasonable distribution network planning schemes can improve the power quality and power supply capacity of the power system, and increase the economic benefits and welfare of the whole society
The distribution network planning (DNP) model for the urban distribution system is presented in this work
In order to reduce the significant increase of number of birds and reduce the occupancy of storage resources in large-scale planning problems, the DNP model is transformed into and solved by a bi-level optimization model in this work [36], wherein the upper-level focuses on the substation planning problem while the lower-level the network planning problems
Summary
Reasonable distribution network planning schemes can improve the power quality and power supply capacity of the power system, and increase the economic benefits and welfare of the whole society. [9], a bi-level robust planning method considering distributed generator and loads in an active distribution network is proposed and a second order cone optimization model is formulated to describe the problem. Based on the current research works related to substation locating, a joint planning method for substations and lines in the distribution network is proposed in this work. When the power supply to a load is from two different substations, the substation not directly connected to that load (i.e., the contralateral substation) generally has a greater impact on the line length and cost since that substation has a longer distance than the substation that provides the concerned load with power Based on these conditions, the DNP model for the urban distribution system is presented in this work. BSA is utilized in this work for solving the proposed planning model
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