Optimal distributed restoration of electrical distribution systems using alternating direction method of multipliers

• Grant number: 19/01906-0
• Support type: Scholarships in Brazil - Post-Doctorate
• Effective date (Start): September 01, 2019
• Effective date (End): August 31, 2021
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Marcos Julio Rider Flores
• Grantee: Juan Camilo Lopez Amezquita
• Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM

Abstract

With the development of Smart Grids and advanced communication technologies, resiliency and service restoration has become an essential part of the operation and planning of electrical distribution systems (EDSs). In the presence of a permanent fault, an optimized service restoration (a.k.a. a self-heling scheme) minimizes the unsupplied demand while maintaining the faulted section of the network isolated for the maintenance crews to fix the failure. The decision variables of the optimization process are the status of the remote-controlled switches (either open or closed), the status of the load zones (either energized or de-energized) and the load shedding at each controllable load. The service restoration problem is a combinatorial optimization process whose computational complexity grows exponentially with the number of binary decision variables. To overcome this issue, a distributed optimal service restoration strategy will be developed using an adapted version of the alternating direction method of multipliers (ADMM) algorithm. Through ADMM, the optimization process is distributed among the zones of the EDS, without requiring a central controller. ADMM enhances the computational efficiency of the optimization process while converging to a high-quality solution. Operational constraints, such as current and voltage magnitude limits, distributed generation (DG) capacities, and radial topology must be guaranteed by the proposed method. Moreover, results must provide feasible and optimized solutions without the need of a central controller.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CRUZ, JOHN W.; LOPEZ, JUAN CAMILO; DOTTA, DANIEL; RIDER, MARCOS J. N-1 Multi-contingency transient stability constrained AC optimal power flow with volt/var controllers. Electric Power Systems Research, v. 188, NOV 2020. Web of Science Citations: 0.

SHEN, FEIFAN; LOPEZ, JUAN CAMILO; WU, QIUWEI; RIDER, MARCOS J.; LU, TIANGUANG; HATZIARGYRIOU, NIKOS D. Distributed Self-Healing Scheme for Unbalanced Electrical Distribution Systems Based on Alternating Direction Method of Multipliers. IEEE Transactions on Power Systems, v. 35, n. 3, p. 2190-2199, MAY 2020. Web of Science Citations: 0.