Abstract
We address the problem of optimally re-routing the feeders of urban distribution network in Milano, Italy, which presents some peculiarities and significant design challenges. Milano has two separate medium-voltage (MV) distribution networks, previously operated by two different utilities, which grew up independently and incoordinately. This results in a system layout which is inefficient, redundant, and difficult to manage due to different operating procedures. The current utility UNARETI, which is in charge of the overall distribution system, aims at optimally integrating the two MV distribution networks and moving to a new specific layout that offers advantages from the perspectives of reliability and flexibility. We present a mixed-integer programming (MIP) approach for the design of a new network configuration satisfying the so-called 2-step ladder layout required by the planner. The model accounts for the main electrical constraints such as power flow equations, thermal limits of high-voltage (HV)/MV substation transformers, line thermal limits, and the maximum number of customers per feeder. Real power losses are taken into account via a quadratic formulation and a piecewise linear approximation. Computational tests on a small-scale system and on a part of the Milano distribution network are reported.
Highlights
IN this paper, we describe the work on re-planning the me‐ dium-voltage (MV) urban distribution network in Milano, Italy, carried out within a long-term collaboration with UNA‐ RETI, the distribution system operator (DSO) of Milano
Adopting a single-stage network expansion approach, we present mixed-integer programming (MIP) formulations to determine the optimum feeder routing of the primary MV distribution network taking into account the layout and electrical constraints and power losses, which are crucial from the perspective of application
The different approaches discussed above are implemented in general algebraic modelling sys‐ tem (GAMS)
Summary
IN this paper, we describe the work on re-planning the me‐ dium-voltage (MV) urban distribution network in Milano, Italy, carried out within a long-term collaboration with UNA‐ RETI, the distribution system operator (DSO) of Milano. The main goal of distribution network planning is to determine the substation location, size and service area, number of feeders and their routes. A multi-stage multi-objective PDP model for distribution substation siting, sizing and timing is present‐ ed in [11] and a new method for the spatial PDP considering variant environmental factors in the feeder routing formula‐ tion has been proposed in [12]. [17] proposes a software tool for urban MV distribution net‐ work planning to determine the optimum network configura‐ tion. Adopting a single-stage network expansion approach, we present mixed-integer programming (MIP) formulations to determine the optimum feeder routing of the primary MV distribution network taking into account the layout and electrical constraints and power losses, which are crucial from the perspective of application.
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