Dynamic Equivalent Modeling of a Grid-Tied Microgrid Based on Characteristic Model and Measurement Data

Abstract

Abstract:Microgrids can significantly improve the utilization of distributed generation (DG) and the reliability of the power supply. However, in the grid-tied operational mode, the interaction between the microgrid and the distribution network cannot be ignored. The paper proposes an equivalent modeling method for the microgrid under grid-tied mode based on a characteristic model. It can simplify the microgrid model in the numerical simulation of the distribution network. The proposed equivalent model can present the dynamic response of a microgrid but not miss any of its primary characteristics. The characteristic model is represented by a low-order time-varying differential equation with the same characteristics of the original microgrid system. During the modeling process, the voltage and the power exchanged between the microgrid and distribution network are collected as the training data for the identification of model parameters. A recursive damped least squares algorithm (RDLS) is used for the parameter identification. A microgrid system containing different DGs is built to test the proposed modeling method in DIgSILENT, and the results show that the proposed dynamic equivalent modeling method is effective and the characteristic model can present the dynamic behaviors of the detailed model of a microgrid.

Experimental Validation of a Dynamic Equivalent Model for Microgrids

“…The idea beyond the equivalent modeling approach is define and identify an Equivalent Dynamic Model (EDM), usually composed by a set of differential equations, able to reproduce the system dynamics [18]- [20]. Generally, measurement-based methods [21]- [22] are preferred to other approaches since they do not require a detailed a priori knowledge of the real system. In [23]- [25] artificial neural networks (ANNs) are used to identify EDMs for ADNs and microgrids, which can be considered as a special case of ADNs.…”

Internet of things based smart energy management in a vanadium redox flow battery storage integrated bio-solar microgrid

“…The need for local management of demand and supply of management of energy has assumed greater importance in the currently prevailing Covid-19 syndrome. To satisfy this energy security demand and to ensure a cleaner environment, renewable energy source integrated microgrid [1] , [2] , [3] , [4] , [5] , [6] , [7] system claims to be a potential community-scale solution. Considering the intermittency of renewable energy [RE] sources, multiple energy sources such as solar PV, biomass along with battery energy storage system (BESS) forming a hybrid microgrid [8] can be a potential solution.…”