Visible to the public A Security-Constrained Islanding Feasibility Optimization Model in the Presence of Renewable Energy Sources

TitleA Security-Constrained Islanding Feasibility Optimization Model in the Presence of Renewable Energy Sources
Publication TypeConference Paper
Year of Publication2018
AuthorsBovo, Cristian, Ilea, Valentin, Rolandi, Claudio
Conference Name2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I CPS Europe)
Date PublishedJune 2018
ISBN Number978-1-5386-5186-5
Keywordsactual islanding, composability, CPS modeling, distributed power generation, dynamic simulations, frequency control, Generators, genetic algorithms, HV subtransmission level, integer programming, Islanded Operation, islanded operation feasibility, islanding conditions, load/generation shedding, loads, long-term security, Mathematical model, Metrics, mixed integer nonlinear problem, network operation, nonlinear programming, Numerical models, off-line evaluation, optimal control, optimal control actions, Optimization, possible islanding event, power distribution control, power distribution faults, power grids, power system security, Power systems, pubcrawl, renewable energy sources, representative HV subtransmission grid, RES available, resilience, Resiliency, security-constrained islanding feasibility optimization model, simulations, Smart grids, supplied load, Wind farms

The massive integration of Renewable Energy Sources (RES) into power systems is a major challenge but it also provides new opportunities for network operation. For example, with a large amount of RES available at HV subtransmission level, it is possible to exploit them as controlling resources in islanding conditions. Thus, a procedure for off-line evaluation of islanded operation feasibility in the presence of RES is proposed. The method finds which generators and loads remain connected after islanding to balance the island's real power maximizing the amount of supplied load and assuring the network's long-term security. For each possible islanding event, the set of optimal control actions (load/generation shedding) to apply in case of actual islanding, is found. The procedure is formulated as a Mixed Integer Non-Linear Problem (MINLP) and is solved using Genetic Algorithms (GAs). Results, including dynamic simulations, are shown for a representative HV subtransmission grid.

Citation Keybovo_security-constrained_2018