Reliability aspects in operational structuring of large-scale urban distribution systems

This paper proposes the Symbiotic Organism Search (SOS) algorithm to find the optimal network configuration and the placement of distributed generation (DG) units that minimize the real power loss in radial distribution networks. The proposed algorithm simulates symbiotic relationships such as mutualism, commensalism, and parasitism for solving the optimization problems. In the optimization process, the reconfiguration problem produces a large number of infeasible network configurations. To reduce these infeasible individuals and ensure the radial topology of the network, the graph theory was applied during the power flow. The implementation of the proposed SOS algorithm was carried out on 33-bus, 69-bus, 84-bus, and 119-bus distribution networks considering seven different scenarios. Simulation results and performance comparison with other optimization methods showed that the SOS-based approach was very effective in solving the network reconfiguration and DG placement problems, especially for complex and large-scale distribution networks.

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Comparison of various urban distribution systems supporting e-commerce. Point-to-point vs collection-point-based deliveries

Transportation Research Procedia ◽

10.1016/j.trpro.2018.09.021 ◽

2018 ◽

Vol 30 ◽

pp. 188-196 ◽

Cited By ~ 1

Author(s):

Pasquale Carotenuto ◽

Massimiliano Gastaldi ◽

Stefano Giordani ◽

Riccardo Rossi ◽

Alberto Rabachin ◽

...

Keyword(s):

Distribution Systems ◽

Urban Distribution ◽

Point To Point ◽

Collection Point

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Prospects of a Meshed Electrical Distribution System Featuring Large-Scale Variable Renewable Power

Energies ◽

10.3390/en11123399 ◽

2018 ◽

Vol 11 (12) ◽

pp. 3399 ◽

Cited By ~ 3

Author(s):

Marco Cruz ◽

Desta Fitiwi ◽

Sérgio Santos ◽

Sílvio Mariano ◽

João Catalão

Keyword(s):

Distribution System ◽

Distribution Systems ◽

Large Scale ◽

Global Climate ◽

Mixed Integer ◽

Programming Approach ◽

Renewable Power ◽

Electrical Distribution ◽

Stochastic Framework ◽

Distribution Grids

Electrical distribution system operators (DSOs) are facing an increasing number of challenges, largely as a result of the growing integration of distributed energy resources (DERs), such as photovoltaic (PV) and wind power. Amid global climate change and other energy-related concerns, the transformation of electrical distribution systems (EDSs) will most likely go ahead by modernizing distribution grids so that more DERs can be accommodated. Therefore, new operational strategies that aim to increase the flexibility of EDSs must be thought of and developed. This action is indispensable so that EDSs can seamlessly accommodate large amounts of intermittent renewable power. One plausible strategy that is worth considering is operating distribution systems in a meshed topology. The aim of this work is, therefore, related to the prospects of gradually adopting such a strategy. The analysis includes the additional level of flexibility that can be provided by operating distribution grids in a meshed manner, and the utilization level of variable renewable power. The distribution operational problem is formulated as a mixed integer linear programming approach in a stochastic framework. Numerical results reveal the multi-faceted benefits of operating distribution grids in a meshed manner. Such an operation scheme adds considerable flexibility to the system and leads to a more efficient utilization of variable renewable energy source (RES)-based distributed generation.

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