This paper deals with the problem of real-time management of Smart Grids. For this sake, 1 the energy management is integrated with the power system through a telecommunication system.
2The use of Multiagent Systems leads the proposed algorithm to find the best-integrated solution, 3 taking into consideration the operating scenario and the system characteristics. The proposed 4 technique is tested with the help of an academic microgrid, so the results may be replicated.
The day-ahead problem of finding optimal dispatch and prices for the Brazilian power system is modeled as a mixed-integer problem, with nonconvexities related to fixed costs and minimal generation requirements for some thermal power plants. The computational tool DESSEM is currently run by the independent system operator, to define the dispatch for the next day in the whole country. DESSEM also computes marginal costs of operation that CCEE, the trading chamber, uses to determine the hourly prices for energy commercialization. The respective models sometimes produce an infeasible output. This work analyzes theoretically those infeasibilities, and proposes a prioritization to progressively resolve the constraint violation, in a manner that is sound from the practical point of view. Pros and cons of different mathematical formulations are analyzed. Special attention is put on robustness of the model, when the optimality requirements for the unit-commitment problem vary.
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