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Jiayong Li

Researcher at Hunan University

Publications -  35
Citations -  706

Jiayong Li is an academic researcher from Hunan University. The author has contributed to research in topics: Computer science & Photovoltaic system. The author has an hindex of 9, co-authored 25 publications receiving 290 citations. Previous affiliations of Jiayong Li include Southern Methodist University & Hong Kong Polytechnic University.

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Distributed Transactive Energy Trading Framework in Distribution Networks

TL;DR: An efficient distributed algorithm for solving the TET problem base on alternating direction method of multipliers (ADMM), which derives closed-form solutions to all subproblems to significantly improve the computational efficiency.
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Distributed Online Voltage Control in Active Distribution Networks Considering PV Curtailment

TL;DR: A closed-form solution for PV controllers to locally update the active and reactive power set points aiming at minimizing the total loss and maintaining bus voltages within the acceptable ranges is derived.
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Enhancing photovoltaic hosting capacity—A stochastic approach to optimal planning of static var compensator devices in distribution networks

TL;DR: The results show that the proposed model can significantly improve the photovoltaic hosting capacity and the case studies demonstrate that the PV hosting capacity becomes insensitive to the additional SVC planning cost when the total cost exceeds about $175,000.
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A Two-Stage Game-Theoretic Method for Residential PV Panels Planning Considering Energy Sharing Mechanism

TL;DR: A novel two-stage game-theoretic residential photovoltaic panels planning framework for distribution grids with potential PV prosumers is proposed and an efficient descend search algorithm-based solution method which can significantly improve the computation efficiency is developed.
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Optimal Location Planning of Renewable Distributed Generation Units in Distribution Networks: An Analytical Approach

TL;DR: In this article, the optimal location planning of renewable distributed generation (RDG) units by taking into account the random uncertainties of renewable generation and load demand is studied, and analytical expressions are derived for efficiently evaluating the performance of a candidate RDG placement decision.