Planning Underground Power Distribution Networks to Minimize Negative Visual Impact in Resilient Smart Cities

This paper presents the application of heuristic methods in conjunction with graph theory in the optimal routing and sizing of underground distribution networks in georeferenced (GIS) scenarios, which are modeled and simulated in the advanced engineering tool CYMDIST. The tool allows the deployment of underground networks to facilitate the design, planning, and implementation of networks, taking into consideration distribution company regulations, thus allowing overview and future planning in the growth of distribution systems. Further, this method is modeled in real georeferenced scenarios, where the coverage of the electric service to all users connected to the network is guaranteed according to population density and energy demand while minimizing the number of distribution transformers used. The applied method considers the location of transformer chambers, the capacity and coverage of the distribution transformers, and the voltage drops over the line section, which should not exceed 5% of the nominal value as described in the ANSI C84.1 standard. Consequently, to verify the efficiency of the applied method, the limitations and restrictions of the mathematical model are considered, as well as the characteristics of the georeferenced system and a comparison with different research studies that address the subject presented here. In addition, supply coverage is guaranteed to be 100%.

[1]  Lasse Kappel Mortensen,et al.  Relative fault vulnerability prediction for energy distribution networks , 2022, Applied Energy.

[2]  M. Alvarez‐Herault,et al.  Long-Term Planning of Electrical Distribution Grids: How Load Uncertainty and Flexibility Affect the Investment Timing , 2022, Energies.

[3]  A. Berizzi,et al.  A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method , 2022, Applied Sciences.

[4]  Chien-Kuo Chang,et al.  Three-Phase Unbalance Improvement for Distribution Systems Based on the Particle Swarm Current Injection Algorithm , 2022, Energies.

[5]  A. Moser,et al.  Analyzing Intersectoral Benefits of District Heating in an Integrated Generation and Transmission Expansion Planning Model , 2022, Energies.

[6]  M. Hamza,et al.  GIS-Based Planning and Web/3D Web GIS Applications for the Analysis and Management of MV/LV Electrical Networks (A Case Study in Tunisia) , 2022, Applied Sciences.

[7]  T. Senjyu,et al.  Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning , 2022, Energies.

[8]  T. Capuder,et al.  Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options , 2022, Energies.

[9]  Mirosław Kornatka,et al.  An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators , 2021, Energies.

[10]  T. Vishnu Charan,et al.  Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design , 2021, Energies.

[11]  Jane Namaganda-Kiyimba,et al.  Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks , 2021, Sustainability.

[12]  Alberto Geri,et al.  Resilience Assessment in Distribution Grids: A Complete Simulation Model , 2021, Energies.

[13]  Kamran Latif,et al.  BIM-GIS-Based Integrated Framework for Underground Utility Management System for Earthwork Operations , 2021, Applied Sciences.

[14]  Giorgio Graditi,et al.  A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids , 2021, Sustainability.

[15]  F. Bignucolo,et al.  Optimal Planning and Operation of a Residential Energy Community under Shared Electricity Incentives , 2021, Energies.

[16]  Alfredo Quijano-Lopez,et al.  Electric Distribution System Planning Methodology Considering Distributed Energy Resources: A Contribution towards Real Smart Grid Deployment , 2021 .

[17]  Khaleequr Rehman Niazi,et al.  Impact analysis of demand response on optimal allocation of wind and solar based distributed generations in distribution system , 2020 .

[18]  Salah Kamel,et al.  Integration of DG and Capacitor in Radial Distribution Networks Using an Efficient Hybrid Optimization Method , 2020 .

[19]  A. Vallati,et al.  Experimental Validation of a Heat Transfer Model in Underground Power Cable Systems , 2020, Energies.

[20]  Esteban Inga,et al.  Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico , 2019 .

[21]  Esteban Inga,et al.  A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data , 2019, Energies.

[22]  Silvio Simani,et al.  Optimal Routing an Ungrounded Electrical Distribution System Based on Heuristic Method with Micro Grids Integration , 2019, Sustainability.

[23]  Silvio Simani,et al.  Planning of a Resilient Underground Distribution Network Using Georeferenced Data , 2019, Energies.

[24]  Herrera Cisneros,et al.  Planeación óptima de redes de distribución eléctrica aérea usando métodos heurísticos y procesos de simulación. , 2018 .

[25]  Shawky H. Arafa,et al.  Load cycling of underground distribution cables including thermal soil resistivity variation with soil temperature and moisture content , 2018, IET Generation, Transmission & Distribution.

[26]  Gianluca Fulli,et al.  European representative electricity distribution networks , 2018, International Journal of Electrical Power & Energy Systems.

[27]  Yan Li,et al.  Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network , 2018, Applied Energy.

[28]  Nien-Che Yang,et al.  Decomposed Newton algorithm-based three-phase power-flow for unbalanced radial distribution networks with distributed energy resources and electric vehicle demands , 2018 .

[29]  Seyed Hossein Hosseinian,et al.  A Framework for Optimal Coordinated Primary-Secondary Planning of Distribution Systems Considering MV Distributed Generation , 2018, IEEE Transactions on Smart Grid.

[30]  Hyun Myung,et al.  Resilient Underground Localization Using Magnetic Field Anomalies for Drilling Environment , 2018, IEEE Transactions on Industrial Electronics.

[31]  M. M. Yagoub.  Assessment of OpenStreetMap (OSM) Data: The Case of Abu Dhabi City, United Arab Emirates , 2017 .

[32]  Alois Knoll,et al.  A Modular Power System Planning and Power Flow Simulation Framework for Generating and Evaluating Power Network Models , 2017, IEEE Transactions on Power Systems.

[33]  Ramesh C. Bansal,et al.  Swarm-Intelligence-Based Optimal Planning of Distributed Generators in Distribution Network for Minimizing Energy Loss , 2017 .

[34]  Hongwei Li,et al.  An improved distribution network reconfiguration method based on minimum spanning tree algorithm and heuristic rules , 2016 .

[35]  Jürgen Götze,et al.  Clustering of electrical transmission systems based on network topology and stability , 2015 .

[36]  Jukka Lassila,et al.  Reserve Power Arrangements in Rural Area Underground Cable Networks , 2014, IEEE Transactions on Power Delivery.

[37]  Chen-Ching Liu,et al.  Distribution System Restoration With Microgrids Using Spanning Tree Search , 2014, IEEE Transactions on Power Systems.

[38]  M. Haghifam,et al.  Adaptive multi-objective distribution network reconfiguration using multi-objective discrete particles swarm optimisation algorithm and graph theory , 2013 .

[39]  Akihiro Ametani,et al.  Surge Analysis on a Long Underground Cable System , 2013 .

[40]  Mahmoud-Reza Haghifam,et al.  Long term distribution network planning considering urbanity uncertainties , 2012 .

[41]  R. Ayyanar,et al.  Distribution system modeling using CYMDIST for study of high penetration of distributed solar photovoltaics , 2012, 2012 North American Power Symposium (NAPS).

[42]  Albert Y. S. Lam,et al.  An Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems , 2012, IEEE Transactions on Power Systems.

[43]  Khaled Zehar,et al.  Heuristic method for reactive energy management in distribution feeders , 2010 .

[44]  Zhou Lan,et al.  Stochastic expansion planning of interconnected distribution networks with renewable sources considering uncertainties and power transfer capability , 2009 .

[45]  F. de Leon,et al.  Unbalanced Multiphase Load-Flow Using a Positive-Sequence Load-Flow Program , 2008, IEEE Transactions on Power Systems.

[46]  S. Chowdhury,et al.  Distribution system loss minimization and planning using Cymdist , 2007, 2007 42nd International Universities Power Engineering Conference.

[47]  D. C. Yu,et al.  A Heuristic Meter Placement Method for Load Estimation , 2002, IEEE Power Engineering Review.

[48]  Stanislao Pinzón,et al.  Optimal Location of Transformers in Electrical Distribution Networks Using Geographic Information Systems , 2020 .

[49]  Gevork B. Gharehpetian,et al.  A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives , 2018 .

[50]  J. R. Sanches Mantovani,et al.  Planning And Project Of Medium Voltage Electric Power Distribution Systems , 2016, IEEE Latin America Transactions.