A taxonomical review on impact assessment of optimally placed DGs and FACTS controllers in power systems
Year of publication: |
November 2017
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Authors: | Singh, Bindeshwar ; Payasi, R. P. ; Shukla, Vipul |
Published in: |
Energy reports. - Amsterdam [u.a.] : Elsevier, ISSN 2352-4847, ZDB-ID 2814795-9. - Vol. 3.2017, p. 94-108
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Subject: | Artificial intelligence methods | Distribution Generations (DG) | FACTS controllers | Flexible Alternating Current Transmission Systems (FACTS) | Power flow analysis | Power system performances | Power systems | Elektrizitätswirtschaft | Electric power industry | Künstliche Intelligenz | Artificial intelligence | Elektrizitätsversorgung | Electricity supply |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1016/j.egyr.2017.07.001 [DOI] hdl:10419/187887 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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