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Your search keyword '"Cao, Yingping"' showing total 15 results
Start Over Author "Cao, Yingping" Publisher elsevier bv
15 results on '"Cao, Yingping"'

2. Evaluating the value of anti-SARS-CoV-2 antibody detection and neutralizing responses with euvirus: A population of 10776 close contacts in the epidemic of Fujian

Author

Zeng, Yongbin, primary, Lin, Caorui, additional, Liu, Can, additional, Huang, Chun, additional, Chen, Falin, additional, Cao, Yingping, additional, Wu, Siying, additional, Wei, Donghong, additional, Lin, Zhong, additional, Zhang, Yali, additional, Zhang, Ling, additional, Teng, Jing, additional, Li, Zishun, additional, Hong, Guolin, additional, Yang, Tianci, additional, Ye, Huiming, additional, Tu, Haijian, additional, Xiao, Yupeng, additional, Huang, Lishan, additional, Zhang, Jiawei, additional, Chen, Tianbin, additional, Li, Jinming, additional, Ji, Fusui, additional, and Ou, Qishui, additional

Published
2023
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7. Evaluating the Value of Anti-SARS-CoV-2 Antibody Detection and Neutralizing Responses With Euvirus: A Population of 10776 Close Contacts in Delta Variant Epidemic of Fujian

Author

Zeng, Yongbin, primary, Lin, Caorui, additional, Liu, Can, additional, Huang, Chun, additional, Chen, Falin, additional, Cao, Yingping, additional, Wu, Siying, additional, Wei, Donghong, additional, Lin, Zhong, additional, Zhang, Yali, additional, Zhang, Ling, additional, Teng, Jing, additional, Li, Zishun, additional, Hong, Guolin, additional, Yang, Tianci, additional, Ye, Huiming, additional, Tu, Haijian, additional, Xiao, Yupeng, additional, Huang, Lishan, additional, Zhang, Jiawei, additional, Chen, Tianbin, additional, Li, Jinming, additional, Ji, Fusui, additional, and Ou, Qishui, additional

Published
2022
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9. An interactive tri-level multi-energy management strategy for heterogeneous multi-microgrids

Author

Nian Liu, Bin Zhou, Siu Wing Or, Kuan Zhang, Ka Wing Chan, and Cao Yingping

Subjects
Mathematical optimization, Renewable Energy, Sustainability and the Environment, Computer science, Energy management, Strategy and Management, Computation, Block matrix, Building and Construction, Multiple-criteria decision analysis, Industrial and Manufacturing Engineering, Scheduling (computing), Matrix decomposition, Hyperplane, Scalability, General Environmental Science
Abstract

This paper proposes a multi-level multi-energy management framework for the coordinated and interactive operation of heterogeneous multi-microgrids (MMGs) based on many-criteria optimality. With the proposed framework, the highly nonlinear and complex MMG multi-energy management (MMGMEM) problem is formulated into tri-level scheduling subproblems with multi-energy couplings and multi-level interactions, in which the multi-energy trading with energy networks and multi-energy couplings within MGs are optimized in the upper and middle level, and a middle level is added to correct scheduling decisions of the upper level for coordinating the MMG multi-energy sharing. Then, a multi-step matrix decomposition technique is developed to decompose the high dimensional multi-energy coupling matrix of MMGs into the sum of three linear and sparse submatrices for improving the computation efficiency and scalability. Furthermore, a many-criteria decision making (MCDM) model is proposed for the multi-energy sharing problem to achieve an optimum tradeoff in which all microgrids (MGs) can benefit from electricity-gas exchanges, and an evolutionary many-objective optimization based on hyperplane transformation algorithm is used to solve the MCDM problem. Simulation results verify that the proposed framework can achieve a cost saving for each MG (over 19%), and validate its scalability in solving large-scale MMGMEM problems.

Published
2021

11. Many-criteria optimality of coordinated demand response with heterogeneous households

Author

Bin Zhou, Nian Liu, Huaizhi Wang, Canbing Li, Sheng Huang, Cao Yingping, and Qiuwei Wu

Subjects
Mathematical optimization, Computer science, Energy management, 020209 energy, 02 engineering and technology, computer.software_genre, Industrial and Manufacturing Engineering, News aggregator, law.invention, Demand response, 020401 chemical engineering, law, 0202 electrical engineering, electronic engineering, information engineering, 0204 chemical engineering, Electrical and Electronic Engineering, Transformer, Civil and Structural Engineering, Mechanical Engineering, Building and Construction, Multiple-criteria decision analysis, Pollution, Optimality model, General Energy, Hypercube, computer, Loss of life
Abstract

This paper proposes a bilevel multi-house energy management (MHEM) framework to coordinate the residential demand response (DR) of heterogeneous households based on many-criteria optimality. In the upper level, the loss of life (LOL) cost of transformers is formulated into the DR cost model, and a stochastic scheduling is implemented to determine the optimum amount of transformer load deferment and curtailment. The lower level aims to optimally allocate the transformer load from the aggregator to individual households, and a many-criteria DR optimality model is proposed to maximize the multi-house benefits from DR while achieving coordination of the DR participation. Furthermore, a hypercube spatial transformation based classification and sorting scheme is developed to form an evolutionary many-objective (EMO) algorithm in order to solve the many-criteria decision making (MCDM) problem of coordinated DR with numerous participants. The performance of the proposed method was benchmarked and validated on different scaled neighborhood systems over a 24-h scheduling horizon, and comparative results demonstrated its superiority and optimality in solving many-house DR problems.

Published
2020

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