Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems
Mathematics and Computers in Simulation
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Application of data mining to the spatial heterogeneity of foreclosed mortgages
Expert Systems with Applications: An International Journal
The study of a forecasting sales model for fresh food
Expert Systems with Applications: An International Journal
Designing a model of FANP in brand image decision-making
Applied Soft Computing
Modeling and simulation of chaotic phenomena in electrical power systems
Applied Soft Computing
Stability analysis and robustness design of nonlinear systems: An NN-based approach
Applied Soft Computing
GA-based decoupled adaptive FSMC for nonlinear systems by a singular perturbation scheme
Neural Computing and Applications
Modeling, control, and stability analysis for time-delay TLP systems using the fuzzy Lyapunov method
Neural Computing and Applications
IEEE Transactions on Fuzzy Systems
A novel viewpoint on information and interface design for auction web sites
Human Factors in Ergonomics & Manufacturing
Human factors of knowledge-sharing intention among taiwanese enterprises: A model of hypotheses
Human Factors in Ergonomics & Manufacturing
Human factors of knowledge sharing intention among taiwanese enterprises: a preliminary study
Human Factors in Ergonomics & Manufacturing
A study of a B2C supporting interface design system for the elderly
Human Factors in Ergonomics & Manufacturing
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In this paper, a new and efficient model for variables representation, named F-coding, in optimal power dispatch problems for smart electrical distribution grids is proposed. In particular, an application devoted to optimal energy dispatch of Distributed Energy Resources including ideal storage devices is here considered. Electrical energy storage systems, such as any other component that must meet an integral capacity constraint in optimal dispatch problems, have to show the same energy level at the beginning and at the end of the considered timeframe for operation. The use of zero-integral functions, such as sinusoidal functions, for the synthesis of the charge and discharge course of batteries is thus consequential. The issue is common to many other engineering problems, such as any dispatch problem where resources must be allocated within a given amount in a considered timeframe. Many authors have proposed different methods to deal with such integral constraints in the literature on smart grids management, but all of them do not seem very efficient. The paper is organized as follows. First, the state of the art on the optimal management problem is outlined with special attention to treatment of integral constraints, then the proposed new model for variables representation is described. Finally, the multiobjective optimization method and its application to the optimal dispatch problem considering different variables representations are considered.