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Optimizing droop coefficients for minimum cost operation of islanded micro-grids
- Source :
- Sanseverino, E R, Tran, Q T T, Zizzo, G, Di Silvestre, M L, Doan, B V, Nguyen, N Q & Guerrero, J M 2017, Optimizing droop coefficients for minimum cost operation of islanded micro-grids . in Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I &CPS Europe) ., 7977712, IEEE Press, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I &CPS Europe), Milano, Italy, 06/06/2017 . https://doi.org/10.1109/EEEIC.2017.7977712
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- 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.
- Subjects :
- Engineering
Environmental Engineering
Energy management
020209 energy
Glow-worm swarm optimization
Flow (psychology)
Optimal power flow (OPF)
Energy Engineering and Power Technology
02 engineering and technology
Micro-grid
Industrial and Manufacturing Engineering
Time frame
Control theory
0202 electrical engineering, electronic engineering, information engineering
Point (geometry)
Voltage droop
Electrical and Electronic Engineering
Simulation
business.industry
Swarm behaviour
Settore ING-IND/33 - Sistemi Elettrici Per L'Energia
Energy management system
State (computer science)
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
- Accession number :
- edsair.doi.dedup.....004e4e2fa1c1783cbe818e15e8bb705b