Volume 01: Proceedings of Applied Energy Symposium: MIT A+B, United States, 2019

Modelica-based dynamic optimization model for multi-energy micro-grid Fang Liu, Qiu Mo, Qunzhi Zhu

Abstract

Building loads and the output of renewable energy in distributed micro-grid system are stochastic, which makes it difficult for traditional methods to describe the system dynamic characteristics. This paper presents a multiple time-varying dynamic model based on modelica non-causal modeling language to realize the coupling of renewable energy generation, energy storage components and controllable loads. Branch and bound method and metaheuristic algorithm are used to optimize the configuration design and operation strategy for four typical scenarios, and the effective penetration of renewable energy (EPRE), a novel evaluating indicator, is proposed to make the optimization model more practical. The results explicitly show that the model and dynamic simulation method are effective.

Keywords Multi-energy micro-grid, Modelica modeling, dynamic optimization, effective penetration of renewable energy

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