6533b852fe1ef96bd12aa311
RESEARCH PRODUCT
Driven Primary Regulation for Minimum Power Losses Operation in Islanded Microgrids
Gaetano ZizzoMaria Luisa Di SilvestreElenora Riva SanseverinoThanh Nam PhamQuynh T. Transubject
Mathematical optimizationdroop controlControl and OptimizationOptimization problemComputer scienceHeuristic (computer science)020209 energyReliability (computer networking)microgridsEnergy Engineering and Power Technology02 engineering and technologylcsh:Technologyprimary regulationPower Balance0202 electrical engineering electronic engineering information engineeringVoltage droopElectrical and Electronic EngineeringMATLABEngineering (miscellaneous)minimum lossescomputer.programming_languageOperating pointRenewable Energy Sustainability and the Environmentlcsh:T020208 electrical & electronic engineeringPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'Energiamicrogridmicrogrids; primary regulation; droop control; minimum lossesMinimum lossecomputerEnergy (miscellaneous)description
The paper proposes an improved primary regulation method for inverter-interfaced generating units in islanded microgrids. The considered approach employs an off-line minimum losses optimal power flow (OPF) to devise the primary frequency regulation curve’s set-points while satisfying the power balance, frequency and current constraints. In this way, generators will reach an optimized operating point corresponding to a given and unique power flow distribution presenting the minimum power losses. The proposed approach can be particularly interesting for diesel-based islanded microgrids that face, constantly, the issue of reducing their dependency from fossil fuels and of enhancing their generation and distribution efficiency. The Glow-worm Swarm Optimization (GSO) algorithm is selected as a key heuristic tool for solving the optimization problem. The main program is carried out in Matlab environment. A case study with a parametric analysis is implemented and all results are assessed and compared with the conventional droop control method to show the effectiveness of the proposed method as well as the improved reliability of the system.
year | journal | country | edition | language |
---|---|---|---|---|
2018-10-24 | Energies |