Clustering Techniques for Secondary Substations Siting
| Autor: | Carla Ortiz Dominguez, Silvia Corigliano, Federico Rosato, Marco Merlo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Operations research Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology lcsh:Technology Population density Task (project management) Set (abstract data type) 0202 electrical engineering electronic engineering information engineering Rural electrification secondary substations Electrical and Electronic Engineering Cluster analysis Engineering (miscellaneous) sustainable development lcsh:T Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Tree (data structure) Work (electrical) Electricity rural electrification Rural area business optimization Energy (miscellaneous) clustering |
| Zdroj: | Energies Volume 14 Issue 4 Energies, Vol 14, Iss 1028, p 1028 (2021) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en14041028 |
| Popis: | The scientific community is active in developing new models and methods to help reach the ambitious target set by UN SDGs7: universal access to electricity by 2030. Efficient planning of distribution networks is a complex and multivariate task, which is usually split into multiple subproblems to reduce the number of variables. The present work addresses the problem of optimal secondary substation siting, by means of different clustering techniques. In contrast with the majority of approaches found in the literature, which are devoted to the planning of MV grids in already electrified urban areas, this work focuses on greenfield planning in rural areas. K-means algorithm, hierarchical agglomerative clustering, and a method based on optimal weighted tree partitioning are adapted to the problem and run on two real case studies, with different population densities. The algorithms are compared in terms of different indicators useful to assess the feasibility of the solutions found. The algorithms have proven to be effective in addressing some of the crucial aspects of substations siting and to constitute relevant improvements to the classic K-means approach found in the literature. However, it is found that it is very challenging to conjugate an acceptable geographical span of the area served by a single substation with a substation power high enough to justify the installation when the load density is very low. In other words, well known standards adopted in industrialized countries do not fit with developing countries’ requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |