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Cited by 286

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm

Lingfeng Wang, Singh, C.·2009·IEEE Transactions on Energy Conversion

Abstract

Multisource hybrid power generation systems are a type of representative application of the renewables' technology. In this investigation, wind turbine generators, photovoltaic panels, and storage batteries are used to build hybrid generation systems that are optimal in terms of multiple criteria including cost, reliability, and emissions. Multicriteria design facilitates the decision maker to make more rational evaluations. In this study, an improved particle swarm optimization algorithm is developed to derive these nondominated solutions. Hybrid generation systems under different design scenarios are designed based on the proposed approach. First, a grid-linked hybrid system is designed without incoroprating system uncertainties. Then, adequacy evaluation is conducted based on probabilistic methods by accounting for equipment failures, time-dependent sources of energy, and stochastic generation/load variations. In particular, due to the unpredictability of wind speed and solar insolation as well as the random load variation, time-series models are adopted to reflect their stochastic characteristics. An adequacy evaluation procedure including time-dependent sources, is adopted. Sensitivity studies are also carried out to examine the impacts of different system parameters on the overall design performance.

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Metadata

Authors
Wang, L., & Singh, C.
Venue
IEEE Transactions on Energy Conversion
Published
2009-03
Volume
24
Issue
1
Pages
163-172
ISSN
0885-8969 (ISSN-L)
OpenAlex
W2100148882
Cited by
286
References
18
FWCI
9.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm. https://app.cochat.ai/papers/10.1109/tec.2008.2005280
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Wang, L., & Singh, C. (2009). Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2008.2005280

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