The optimization of power transformers is one of the earliest applications of geometric programming. This approach works well with shell-form transformers, and the constructed models can be solved accurately with the new interior point method based solvers. However, a less well-known fact is that this kind of modeling becomes problematic in the case of core-form transformers.This paper shows a new metaheuristic solution to circumvent the main obstacle which is the calculation of short-circuit impedance.
State-of-the-art power exchange designs have to take a large set of economic and technical constraints into consideration. A specific difficulty is that most power generators have non-convex characteristics, for example startup costs and minimal load during operation.Minimum income condition orders constitute a method to represent some of the power plants' corresponding economic interests on energy markets, e.g. on the proposed all-European day-ahead power exchange. However, the non-convexity of these offers can be computationally expensive. A new clearing algorithm is proposed to manage the issue effectively with advanced mathematical tools.
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