Medium- and Low-voltage Planning of Electric Power Distribution Systems with Distributed Generation, Energy Storage Sources, and Electric Vehicles

Author(s)

Rupolo, Diego ; Sanches Mantovani, Jose Roberto ; Pereira Junior, Benvindo Rodrigues ; IEEE

• Document type: Journal article
• Source: 2019 IEEE MILAN POWERTECH; v. N/A, p. 5-pg., 2019-01-01.

Abstract

In this paper, medium- and low-voltage planning of electric power distribution systems with distributed generation (DG), energy storage sources (ESS) allocation and electric vehicles (EV) is carried out. In the planning, DG is owned by independent producers and ESS as owned by distribution companies (DISCO). Due to the uncertainties associated with demand and renewable energy sources, a methodology for scenarios generating based on annual historical data of demand, wind speed, and solar irradiation is used. As the developed model has high computational complexity, we use a General Variable Neighborhood Search metaheuristic (GVNS), along with the Chu-Beasley Genetic Algorithm (CBGA) to find solutions. In order to show the efficiency and robustness of the planning algorithm, several tests are performed in an integrated system with 24 bus in medium voltage (MV) and 172 bus in low voltage (LV). (AU)

• FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 17/13599-9 - Medium and Low Voltage Integrated Planning of Electric Power Distribution Systems, considering Uncertainty, Reliability and Expansion Costs
• Grantee: Diogo Rupolo
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 18/21610-5 - Medium- and low-voltage planning of large-scale electric power distribution systems through metaheuristics decomposition techniques
• Grantee: Diogo Rupolo
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor