Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids

Decentralized Control Strategy for Optimal Energy Management in Grid-Connected and Islanded DC Microgrids

This paper proposes a decentralized control technique to minimize the total operation cost of a DC microgrid in both grid-connected and islanded modes. In this study, a cost-based droop control scheme based on the hourly bids of all participant distributed generators (DGs) and the hourly energy price of the utility is presented. An economic power sharing technique among various types of DG unit...

Optimal control of polymer flooding based on mixed-integer iterative dynamic programming

Optimal Control of Fedbatch Bioreactors by Iterative Dynamic Programming

Obtaining the optimal control policy of a fedbatch bioreactor is a difficult task due to the low sensitivity of the feed rate on the objective function. In this work, iterative dynamic programming was selected for identification of optimal control policies of two fedbatch bioreactors for citric acid production. In the first application the raw material is molasses, and in the second is whey. Th...

Adaptive differential dynamic programming for multiobjective optimal control

An eecient numerical solution scheme entitled adaptive diierential dynamic programming is developed in this paper for multiobjective optimal control problems with a general separable structure. For a multiobjective control problem with a general separable structure, the \optimal" weighting coeecients for various performance indices are time-varying as the system evolves along any noninferior tr...

Mixed-Integer-Linear-Programming Based Energy Management System for Hybrid PV-wind-battery Microgrids: Modelling, Design and Experimental Verification

Microgrids are energy systems that aggregate distributed energy resources, loads and power electronics devices in a stable and balanced way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, many scheduling problems have been solved by using complex algorithms that, even so, do not consider the operation of the distributed energy reso...