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Fengjuan Wang

Researcher at Sichuan University

Publications -  12
Citations -  192

Fengjuan Wang is an academic researcher from Sichuan University. The author has contributed to research in topics: Renewable energy & Engineering. The author has an hindex of 4, co-authored 7 publications receiving 105 citations. Previous affiliations of Fengjuan Wang include Mälardalen University College.

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Carbon emission reduction and reliable power supply equilibrium based daily scheduling towards hydro-thermal-wind generation system: A perspective from China

TL;DR: In this paper, an equilibrium strategy based on a hydro-wind-thermal complementary system under an uncertain environment that fully considers the cooperation of hydro power plants, wind power plants and coal combusted thermal power plants is proposed as an optimization method.
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Reliable-economical equilibrium based short-term scheduling towards hybrid hydro-photovoltaic generation systems: Case study from China

TL;DR: A short-term optimization strategy for the hybrid hydro-solar power supplier to allow for reasonable scheduling decisions based on natural limitations and policy impacts and it is found that renewable electricity subsidy policies can efficiently help to adjust energy supply structure, especially in hybrid energy supply system.
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Economic-environmental equilibrium based optimal scheduling strategy towards wind-solar-thermal power generation system under limited resources

TL;DR: An optimal scheduling strategy that fully considers the contributions of wind farm, solar parks, and coal thermal power plants to determine economic benefit and environmental impact equilibrium in a hybrid generation system under natural limitations is proposed.
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Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing

TL;DR: Wang et al. as mentioned in this paper proposed a dynamic equilibrium strategy based on biomass-coal co-firing method to reduce carbon emissions, in which bi-level programming method was employed to build a cooperative relationship between the authority and CPPs, dynamic programming method is used to handle biomass availability time conflict, multi-objective programming method applied to seek the trade-off between economic development and environmental protection, and furthermore uncertainty theory is introduced to address imprecise uncertain parameters.
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Optimal design and operation of hybrid renewable energy system for drinking water treatment

TL;DR: It is found that the deployment of grid-connected hybrid wind/PV/storage system can help power users to cope with the future electricity price variation risks, with the feasible self-sufficiency ratio reaching 95%.