Energy Management In Microgrid Using Modified Gravitational Search Algorithm

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@article{1701158,
      author = {Sandhiya D, Dr. Chitra S},
      title = {Energy Management In Microgrid Using Modified Gravitational Search Algorithm},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {10},
      pages = {264-273},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701158.pdf},
      abstract = {A microgrid is a power distribution system which can be operated with or without the main grid. An energy management strategy is required in a microgrid to regulate power flows in order to meet certain operational objectives by adjusting the power imported/exported from/to the main grid, the dispatchable Distributed Energy Resources (DER) and the controllable loads. Most of the offline approaches assume perfect forecasting which is difficult to achieve in practice. Hence an online energy management with uncertainties of renewable resources has been modelled based on Lyapunov optimization. But this method considered only demand constraints. In the proposed work an online energy management for real time management of microgrid is considered for the power flow and system operational constraints on a distribution network. This has been formulated as stochastic optimal power flow problem which is solved using Modified Gravitational Search Algorithm. Simulation results showed that this algorithm improved the power transfer capability. It also minimized the long-term operational costs when compared to the existing techniques.},
      keywords = {Energy management, Forecasting, Gravitational Search Algorithm},
      month = {April},
  }