6533b7d3fe1ef96bd126095b
RESEARCH PRODUCT
Optimizing droop coefficients for minimum cost operation of islanded micro-grids
Ninh Quang NguyenM. L. Di SilvestreJosep M. GuerreroQuynh T. TranBinh Van DoanGaetano ZizzoE. Riva Sanseverinosubject
EngineeringEnvironmental EngineeringEnergy management020209 energyGlow-worm swarm optimizationFlow (psychology)Optimal power flow (OPF)Energy Engineering and Power Technology02 engineering and technologyMicro-gridIndustrial and Manufacturing EngineeringTime frameControl theory0202 electrical engineering electronic engineering information engineeringPoint (geometry)Voltage droopElectrical and Electronic EngineeringSimulationbusiness.industryEnergy managementSwarm behaviourSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemState (computer science)businessdescription
This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-06-01 | 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |