Z
Z.X. Jing
Researcher at South China University of Technology
Publications - 29
Citations - 774
Z.X. Jing is an academic researcher from South China University of Technology. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 12, co-authored 23 publications receiving 569 citations.
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Modelling and operation optimization of an integrated energy based direct district water-heating system
TL;DR: In this article, a model of an integrated energy-based direct district water-heating system, which makes joint use of wind energy, solar energy, natural gas and electric energy, is proposed.
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A Stackelberg game approach for multiple energies trading in integrated energy systems
TL;DR: In this paper, a game model based on the hierarchical Stackelberg game for analyzing the multiple energies trading problem in integrated energy systems (IESs) is proposed, in which a number of distributed energy stations (DESs) lead the game deciding the unit prices of electricity and cooling energies they generated, while multiple energy users (EUs) perform as followers determining the amounts of energies to consume.
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Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system
TL;DR: In this article, the authors presented a comprehensive model of a small-scale integrated energy based district heating and cooling (DHC) system located in a residential area of hot-summer and cold-winter zone, which makes joint use of wind energy, solar energy, natural gas and electric energy.
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Multi-objective optimization and decision making for power dispatch of a large-scale integrated energy system with distributed DHCs embedded☆
TL;DR: In this paper, a multi-objective group search optimizer with adaptive covariance and Levy flights (MGSO-ACL) is developed to optimize the power dispatch of the LSIES with the selected objectives compromising the competing benefits of both the power grid and the DHCs.
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Coordinated scheduling strategy to optimize conflicting benefits for daily operation of integrated electricity and gas networks
TL;DR: In this paper, a coordinated scheduling strategy (CSS) is proposed to optimize the conflicting benefits of the electricity network and gas network for daily operation of the integrated energy system (IES), while satisfying the operation constraints.