Abstract

In this paper, a multiobjective approach to carry out the planning of medium-voltage (MV) and low-voltage (LV) distribution systems, considering renewable energy sources (RES) and robustness, is proposed. Due to the uncertainties associated with RES and demand, the proposed planning methodology takes into account a robust planning index (RPI). This RPI allows us to evaluate the robustness estimation associated with each planning solution. The objective function in the mathematical model considers the costs of investment and operation and the robustness of the planning proposals. Due to the computational complexity of this problem, which is difficult to solve by means of classical optimization techniques, MV/LV planning is solved by a decomposition search and a general variable neighborhood search (GVNS) algorithm. To demonstrate the efficiency and robustness of this methodology, tests are performed in an integrated distribution system with 50 MV nodes and 410 LV nodes. Our numerical results show that the proposed methodology makes it possible to minimize costs and improve robustness levels in distribution system planning.

Highlights

  • The philosophies and techniques applied to the planning of medium-voltage (MV) and low-voltage (LV) distribution systems have evolved according to physical, economic, political, social, and environmental requirements

  • The algorithm was implemented in the C++ programming language, and tests were run on a server with an Intel (R) Xeon (R) processor, CPU E5-2630 v2, 3 GB of RAM, and 2.60 GHz

  • The number of years of the planning horizon was equal to five, which is a typically period considered for expansion planning of distribution systems by distribution companies (DISCOs)

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Summary

Introduction

The philosophies and techniques applied to the planning of medium-voltage (MV) and low-voltage (LV) distribution systems have evolved according to physical, economic, political, social, and environmental requirements. These requirements, which must be met by the distribution companies (DISCOs), relate to:. In view of these requirements, RES need to be considered in the mathematical models of MV and LV distribution system planning. Considering RES in the planning phase can generate unreliable operation conditions of distribution systems In this way, the mathematical models and solution techniques employed in distribution system planning have become even more complex. Methodologies based on the generation of adequate scenarios are necessary to consider the variation of these climatic parameters in distribution system planning [4,5]

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