A centralised smart supervisor (CSS) controller with enhanced electrical energy management (E2-EM) capability has been developed for an Iron Bird Electrical Power Generation and Distribution System (EPGDS) within the Clean Sky 2 ENhanced electrical energy MAnagement (ENIGMA) project. The E2-EM strategy considers the potential for eliminating the 5 min overload capability of the generators to achieve a substantial reduction in the mass of the EPGDS. It ensures optimal power and energy sharing within the EPGDS by interfacing the CSS with the smart grid network (SGN), the energy storage and regeneration system (ESRS), and the programmable load bank 1 secondary distribution board (PLB1 SDU) during power overloads and failure conditions. The CSS has been developed by formalizing E2-EM logic as an algorithm operating in real time and by following safety and reliability rules. The CSS undergoes initial verification using model-in-the-loop (MIL) testing. This paper describes the EPGDS simulated for the MIL testing and details the E2-EM strategy, the algorithms, and logic developed for the ENIGMA CSS design. The CSS was subjected to two test cases using MIL demonstration, and based on the test results, the performance of the ENIGMA CSS is verified and validated.

This paper proposes a matheuristic for solving a real-life inventory routing problem introduced in the ROADEF/EURO Challenge 2016. The method integrates a fixed-sequence mathematical program, two randomized greedy algorithms, and a column-generation-based heuristic. In particular, the paper discusses the performance of the fixed-sequence mathematical program, which considers a fixed sequence of customer visits and aims at (re)optimizing partial solutions by modifying arrival times and delivered or loaded quantities. Experiments show that the proposed algorithm for the fixed-sequence subproblem is efficient as a postoptimization process and is even able to improve the best solutions obtained during the challenge.