TY  - EJOU
AU  - Lei, Gang 
AU  - Xu, Chunxiang 

TI  - Optimal Intelligent Reconfiguration of Distribution Network in the Presence of Distributed Generation and Storage System
T2  - Energy Engineering

PY  - 2022
VL  - 119
IS  - 5
SN  - 1546-0118

AB  - In the present paper, the distribution feeder reconfiguration in the presence of distributed generation resources
(DGR) and energy storage systems (ESS) is solved in the dynamic form. Since studies on the reconfiguration
problem have ignored the grid security and reliability, the non-distributed energy index along with the energy
loss and voltage stability indices has been assumed as the objective functions of the given problem. To achieve
the mentioned benefits, there are several practical plans in the distribution network. One of these applications is
the network rearrangement plan, which is the simplest and least expensive way to add equipment to the network.
Besides, by adding the DGRs to the distribution grid, the radial mode of the grid and the one-sided passage of
power are eliminated, and the ordinary and simple grid is replaced with a complex grid. In this paper, an improved
particle clustering algorithm is used to solve the distribution network rearrangement problem with the presence
of distributed generation sources. The PQ model and the PV model are both considered, and for this purpose, a
model based on the compensation technique is used to model the PV busbars. The proposed developed model has
particularly improved the local and global search of this algorithm. The reconfiguration problem is discussed and
investigated considering different scenarios in a standard 33-bus grid as a well-known power system in different
scenarios in the presence and absence of the DGRs. Then, the obtained results are compared.
KW  - Reconfiguration; distributed generation resources (DGRs); fuzzy modeling; developed particle swarm optimization (PSO) algorithm

DO  - 10.32604/ee.2022.021154