7 Papers
27 Citations
Weiqing Sun is an academic researcher from University of Shanghai for Science and Technology. The author has contributed to research in topics: Renewable energy & Robust optimization. The author has an hindex of 3, co-authored 7 publications.
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Papers
Coordinated Planning With Predetermined Renewable Energy Generation Targets Using Extended Two-Stage Robust Optimization
TL;DR: An adaptive two-stage min-max-min robust optimization model is formulated to take into account renewable target as well as the uncertainty associated with renewable production and load demand, and is capable to provide a flexible planning tool driven by renewable target under a reasonable computational burden.
Optimal operation of wind-solar-hydrogen storage system based on energy hub
Wenlong Zhang,Dong Han,Weiqing Sun,Haiying Li,Yiming Tan,Zheng Yan,Xiaotian Dong +6 more
- 01 Nov 2017
TL;DR: Simulation results indicate that the proposed multi-energy coupling model with the core of hydrogen energy based on energy hub achieves the higher penetration of renewable energy and more profits.
17
A Two-stage Robust Stochastic Programming Approach for Generation Expansion Planning of Smart Grids under Uncertainties
Dong Han,Wenxian Wu,Weiqing Sun,Zheng Yan +3 more
- 01 Aug 2018
TL;DR: A robust two-stage stochastic programming model is investigated to handle generation expansion planning problems with incomplete information of uncertainties, and a tractable mathematical model is derived, which minimizes the investment and operational costs subjected to system constraints.
8
Dynamic State Estimation for Power System Based on the Measurement Data Reconstructed by RGAN
TL;DR: In this paper, the missing data reconstructed by the residual generative adversarial network (RGAN) was introduced for the power system dynamic estimation, and the unscented Kalman filter (UKF) method was used to estimate power system state.