*1.3. Method*

The optimization of the DED in this work is solved by using the T-Cell heuristic algorithm inspired by the body immune system. This algorithm mimics the human body defense mechanism. The heuristic technics based on biological process has several advantages compared to classical deterministic methods. One of the main advantages of these solutions is that they solve complex problems with non-deterministic polynomial problem. The execution time of the optimization is improved and the same time an optimal solution is reached. These reasons are behind the motivation of using the T-Cell as techniques to solve our DED. Besides, the comparison of our algorithm to other existing ones shows better results in term of optimum computation and time delay which makes it competitive for RT applications.

Section 2 will cover the problem statement that includes the mathematical implementation of dynamic economic dispatch (DED). Section 3 describes the T-Cell algorithm that is implemented in the energy management system (EMS). Section 4 of this paper discusses the proposed multiagent platform that was designed in this study. Lastly, Sections 5 and 6 present and address the findings and concluding remarks on applicability, reliability, and time delay.
