4.7 Article

An energy management system structure for Neighborhood Networks

Journal

JOURNAL OF BUILDING ENGINEERING
Volume 41, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jobe.2021.102376

Keywords

Hierarchical energy management system; Home-scale energy generation; Home energy hub; Renewable energy; Neighborhood network

Funding

  1. Babol Noshirvani University of Technology (Babol, Mazandaran, Iran) [BNUT/389051/99]

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The accelerated integration of renewable energy resources and dispersed generations has led to significant impacts on power grids, with the incorporation of home-scale electricity generators contributing to the development of more stable and efficient smart grids.
The accelerated integration of Renewable Energy Resources (RES) and Dispersed Generations (DGs) has contributed to big shifts in the power grid. The incorporation of home-scale electricity generators (HSEGs) into the Neighborhood Networks is considered and has contributed to the development of more stable and efficient smart grids. The implementation of this system includes an integrated control system along with a power electronic converter. In this paper, a power electronic-based HEMS scheme is presented for the neighborhood network including adjacent HSEGs to achieve an energy positive/neutral neighborhood. A multi home energy hub neighborhood network (MHEHNN) is classified in terms of system structure, functionalities, and energy management system. Different scenarios are investigated to evaluate the significance of proposed control strategy for the case study (a system with two HEHs and two conventional buildings (CBs)) using MATLAB/ SIMULINK simulations. A large-scale MHEHNN is often simulated in order to test system performance on a broader scale. The findings obtained reveal that the HEHs offer more resources to the MHEHNNN under the suggested scheme (about 98% more than conventional scheme). As a result, by the sale of surplus power, they gain more. By avoiding import payments from the grid, the energy cost of CBs is minimised. Around 98% of the entire day is also decreased by the grid load.

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