Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid

• Published in: Life System Modeling and Intelligent Computing pp. 368 - 378
• Main Authors: Hutterer, Stephan, Auinger, Franz, Affenzeller, Michael, Steinmaurer, Gerald
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2010
• Series: Lecture Notes in Computer Science
• Subjects: Metaheuristic Algorithm; Penalty Function; Power Grid; Smart Grid; Unit Commitment
• ISBN: 9783642155963; 3642155960
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-15597-0_41

The implementation of intelligent power grids, in form of smart grids, introduces new challenges to the optimal dispatch of power. Thus, optimization problems need to be solved that become more and more complex in terms of multiple objectives and an increasing number of control parameters. In this paper, a simulation based optimization approach is introduced that uses metaheuristic algorithms for minimizing several objective functions according to operational constraints of the electric power system. The main idea is the application of simulation for computing the fitness- values subject to the solution generated by a metaheuristic optimization algorithm. Concerning the satisfaction of constraints, the central concept is the use of a penalty function as a measure of violation of constraints, which is added to the cost function and thus minimized simultaneously. The corresponding optimization problem is specified with respect to the emerging requirements of future smart electric grids.