IET generation, transmission & distribution, 2013-10, Vol.7 (10), p.1105-1115
2013
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- Autor(en) / Beteiligte
- Titel
- Probabilistic approach for optimal planning of distributed generators with controlling harmonic distortions
- Ist Teil von
- IET generation, transmission & distribution, 2013-10, Vol.7 (10), p.1105-1115
- Ort / Verlag
- Stevenage: The Institution of Engineering and Technology
- Erscheinungsjahr
- 2013
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- In this study, a probabilistic planning approach is proposed for optimally allocating different types of distributed generator (DG) (i.e. wind-based DG, solar DG and non-renewable DG) into a harmonic polluted distribution system so as to minimise the annual energy losses and reduce the harmonic distortions. The proposed planning methodology takes into consideration the intermittent nature of the renewable resources, load profile and the technical constraints of the system. The objective function is the total system annual power loss. The constraints include voltage limits at different buses (slack and load buses) of the system, feeder capacity, total harmonic distortion (THD) limits and maximum penetration limit of DG units. The optimisation process is achieved using the genetic algorithm optimisation method. This proposed approach has been applied to a typical rural distribution system with different scenarios including all possible combinations of distributed energy resources. The simulation results using Matlab programming environment show that significant reductions in the energy losses and THD are achieved for all the proposed scenarios. Also simulation results depict that the proposed method is robust and computationally efficient.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1751-8687, 1751-8695eISSN: 1751-8695DOI: 10.1049/iet-gtd.2012.0769Titel-ID: cdi_crossref_primary_10_1049_iet_gtd_2012_0769
- Format
- –
- Schlagworte
- AC generators, annual energy loss minimization, Applied sciences, Buses, Computer simulation, distributed energy resources, distributed generators, distributed power generation, Disturbances. Regulation. Protection, Electrical engineering. Electrical power engineering, Electrical power engineering, Exact sciences and technology, feeder capacity, Generators, genetic algorithm optimisation method, genetic algorithms, Harmonic distortion, harmonic distortion control, harmonic distortion reduction, harmonic polluted distribution system, harmonics suppression, load buus, load profile, Matlab, Matlab programming environment, maximum penetration limit, Miscellaneous, nonrenewable DG, Operation. Load control. Reliability, optimal DG allocation, optimal planning, Optimization, power distribution planning, power generation planning, Power networks and lines, Probabilistic methods, probabilistic planning approach, Probability theory, renewable resources, slack bus, solar DG, system technical constraint, THD limits, total harmonic distortion limits, total system annual power loss, typical rural distribution system, voltage limits, wind‐based DG