A campus based smart micro grid model that combined power and heat is presented. In this study, optimal scheduling of distributed generations inside these smart micro grids is determined based on demand forecasting, solar power forecasting and wind power forecasting by artificial neural network (ANN). The proposed model is then evaluated through economical efficiency, environment efficiency and...

Evaluation of the reliability parameters in micro-grids based on renewable energy sources is one of the main problems that are investigated in this paper. Renewable energy sources such as solar and wind energy, battery as an energy storage system and fuel cell as a backup system are used to provide power to the electrical loads of the micro-grid. Loads in the micro-grid consist of interruptible...

The integration of Distributed Generation (DG) into the distribution network has acquired unprecedented academic and governmental attention in recent years. Because of the everincreasing energy demand, CO2 emission and petrol shortage, development of DG based on renewable energy sources (RES) registered a considerable growth in the past decade. Having the generation sources physically close to ...

Achieving a sustainable level of energy production and consumption is one of the major challenges in our nowadays society. This paper contributes to the objective of increasing energy efficiency by introducing a market mechanism that facilitates the efficient matching of energy (i.e. electricity and heat) demand and supply in Micro Energy Grids. More precisely we propose a combinatorial double ...

The important task for the operation of autonomous micro grids, is to share the load demand using multiple distributed generation units. In this paper to realize satisfied power sharing without the communication between DG units, the voltage droop control and its different variations have been proposed. Generally, in a lowvoltage micro grids, due to the effects of feeder impedance, the droop co...