Electrical loads management in energy emergency conditions

• Innovative approach to the load control in smart buildings.
• Priority load control by means of numerical coefficients.
• Optimization of the supplied loads by means of dynamic programming.
• Optimized integration between existing power plants and local generation sources.
• Optimum load management in case of limitation of available power.

This paper presents an innovative proposal for the selection of electrical loads in intelligent networks when main power sources are limited or totally absent (in the following: in emergency conditions). The control strategy is based on the mathematical approach of the basis 0–1 Knapsack Problem. Results from three different algorithms are compared: Tabu Search, Greedy heuristic and dynamic programming. To verify correctness and accuracy in the solutions, a MatLab software have been developed. To evaluate the achieved results, a case study is shown in a true-life environment.