Abstract
This paper presents a new methodology for the optimal integrated planning of medium- and low-voltage distribution systems, considering the location and sizing of distributed generation. The integrated problem is formulated as a mixed-integer nonlinear model and, to solve it, two well-known optimization algorithms (simulated annealing and iterated local search) are used. The intensification and diversification processes are usually the bottleneck of metaheuristic techniques for solving complex problems. To overcome such complexity, a new neighborhood search method based on the Zbus matrix (NSZM) is proposed, to explore the solution space more efficiently and effectively for both algorithms. The proposed methodology is validated and tested on a real distribution system taken from the literature. The results obtained are better than those reported in the literature. To verify the efficiency of the new NSZM method, the Wilcoxon signed ranks test is used to measure the performance behavior of the NSZM method in the two optimization algorithms used. The numerical results demonstrate that the NSZM method enhances both algorithms equally.
Highlights
Distribution system planning (DSP) is a set of strategies that allows one to determine how many elements can be installed—and where and when—in an electric network, to satisfy the growing demand for a specific time horizon [1, 2]
E vector used can be partitioned into five areas. e first area contains the locations and sizes of the existing and new primary feeders. e second area includes the locations and sizes of the existing and new secondary circuits. e third area relates to the locations and capacities of the distribution transformer (DT). e fourth area relates to the locations and sizes of the existing and new substations. e fifth area relates to the locations and capacities of the distributed generation (DG)
Description of the System. e Simulated Annealing (SA)-NSZM and Iterated Local Search (ILS)-NSZM methodologies were tested on the real, medium-low voltage distribution system presented in [23]. e primary distribution network has 48 existing buses, 1 existing substation, and 51 existing feeders
Summary
Distribution system planning (DSP) is a set of strategies that allows one to determine how many elements can be installed—and where and when—in an electric network, to satisfy the growing demand for a specific time horizon [1, 2]. The DSP problem considers the installation of new electric elements and the upgrading of existing elements in medium- and low-voltage (MV/ LV) networks (primary feeders, secondary circuits, substations, and distribution transformers) [3]. Distribution companies are facing new challenges in the DSP problem due to the integration of DGs, as wrong decisions in the planning process can lead to bad operating states in the network [7, 8]. Distribution companies need reliable methodologies that can integrate the allocation and sizing of DGs in the DSP problem. Due to the combinatorial nature (NP-hard) of the problem, both voltage levels (MV/LV) have been solved separately, allowing for a reduced search space but not leading to a joint global solution [3, 9]. e number of papers regarding DSP for a medium voltage [10,11,12,13,14,15] is higher than for low voltage [16,17,18,19]
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