Urban underground network expansion planning

Božić, Željka; Hobson, Elizabeth

doi:10.1049/ip-gtd:19970850

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…According to [1], the studies on power distribution planning (PDP) mainly differ in terms of objectives, design variables, voltage level (MV, low-voltage (LV)), problem types (greenfield planning, expansion), load models, planning periods (single-stage, multi-stage), constraints and optimization methods (numerical, heuristic). Regarding numerical methods, a mixed-integer linear programming (MILP) model is developed in [6], using DC power flow in combination with a linear disjunctive model. In [7], an evaluation of the model in [6] is carried out, which compares sequential single-stage and multi-stage planning with DG and investment constraints.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding numerical methods, a mixed-integer linear programming (MILP) model is developed in [6], using DC power flow in combination with a linear disjunctive model. In [7], an evaluation of the model in [6] is carried out, which compares sequential single-stage and multi-stage planning with DG and investment constraints. An example of an MILP model with the computation of reliability indexes is presented in [8], while [9] presents a PDP model to determine the trade-off between the minimum cost and higher reliability.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Feeder Routing in Urban Distribution Networks Planning with Layout Constraints and Losses

Bosisio

Berizzi

Amaldi

et al. 2020

Journal of Modern Power Systems and Clean Energy

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We address the problem of optimally rerouting 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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Feeder Routing in Urban Distribution Networks Planning with Layout Constraints and Losses

Bosisio

Berizzi

Amaldi

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Planning of Electric Power Distribution Networks with Reliability Criteria

Stamoulis

Platis

Koutras

2015

Advances in Intelligent Systems and Computing

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Abstract.With the development of the Distributed Generation (DG), the role of power distribution networks becomes more and more important, and their configuration tends to change from radial to meshed. In this paper, algorithms for planning meshed networks are proposed. The problem of network planning has been transformed to an operational research problem. The algorithms are automated to reduce the planning time. Additional checks have been added to reduce the total length of the final network. A reliability assessment has been proposed to locate the weak spots of a network and to compare different solutions. Finally an application of the proposed algorithms is demonstrated.

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