Probabilistic Algorithm based on 2m+1 Point Estimate Method Edgeworth considering Voltage Confidence Intervals for Optimal PV Generation

Author(s)

Cordero Bautista, Luis Gustavo ; Soares, Joao ; Franco Baquero, John Fredy ; Vale, Zita ; IEEE

• Document type: Journal article
• Source: 2022 17TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS); v. N/A, p. 6-pg., 2022-01-01.

Abstract

Photovoltaic (PV) systems widespread into distribution networks due to its environmentally friendly source of energy, cost-competitive option and system support benefits. However, traditional distribution networks were not designed to operate under a high penetration of intermittent generation posing technical challenges for grid operation and planning. Therefore, probabilistic tools become suitable to cater for uncertainties in generation and demand, thus, leading to a more realistic network representation. Furthermore, the need for harvesting potential energy in an uncertain environment are essential for an efficient grid operation. In this context, this work proposes a probabilistic algorithm based on 2m+1 Point Estimate Method Edgeworth to tackle technical issues considering voltage confidence levels that is used for maximizing PV generation. Tests in a IEEE 33 buses radial distribution system using the proposed probabilistic algorithm yields higher accuracy of cost probability distribution, voltage confidence intervals and a faster computational time when compared to Monte Carlo simulation. (AU)

• FAPESP's process: 18/08008-4 - Coordinated energy resource management under uncertainty considering electric vehicles and demand flexibility in distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Regular Research Grants
• 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: 18/23617-7 - Optimization of modern distribution system operation via Electric Vehicles' flexibility and stationary batteries integrated into three-phase unbalanced networks
• Grantee: Maria Nataly Banol Arias
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 17/02831-8 - Application of optimization methods to the planning of electrical distribution systems
• Grantee: John Fredy Franco Baquero
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/20990-9 - New optimization models to solve the distribution system planning problem in the context of active networks
• Grantee: Alejandra Tabares Pozos
• Support Opportunities: Scholarships in Brazil - Post-Doctoral