Details

Autor(en) / Beteiligte

• Peralta, Renzo Amilcar Vargas
• Leite, Jonatas Boás
• Mantovani, José Roberto Sanches

Titel

Automatic restoration of large-scale distribution networks with distributed generators, voltage control devices and heating loads

Ist Teil von

• Electric power systems research, 2019-11, Vol.176, p.105925, Article 105925

Ort / Verlag

Amsterdam: Elsevier B.V

Erscheinungsjahr

2019

Quelle

Elsevier ScienceDirect Journals

Beschreibungen/Notizen

• •Solution of the restoration problem for large-scale distribution networks with DGs, VRs, CBs and heating loads.•Use of the centralized Volt/VAr control and the data from state estimation in the restoration procedures.•Solution of the restoration problem using a metaheuristic that is known as reactive variable neighborhood tabu search.•Use of the geographical information system (GIS) to visualize the interrupted feeder sections and switches operations. Energy supply interruption by permanent faults causes economic and social problems, dissatisfaction of customers and penalization to electrical power distribution companies. In the procedure to restore distribution networks, power interruption damages must be minimized by energizing the largest possible number of customer loads in the shortest time interval. The restoration problem of distribution networks can be mathematically formulated as a mixed integer nonlinear programming problem that is non-convex of type NP-complete. The existence of heating loads causes the cold load pickup condition in the distribution network that requires the step-by-step procedure increasing the complexity of the restoration problem. In this work, therefore, it is proposed a methodology to solve the restoration problem of large-scale distribution networks with heating loads where the mathematical model is subjected to intentional islanding of distributed generation and voltage control through optimized adjustments on capacitor banks and voltage regulators. The outcomes are achieved under a testing distribution system with 53 nodes and a real system with 7052 nodes.