Weiqing Wang
Xinjiang University
38 Papers
14 Citations
Weiqing Wang is an academic researcher from Xinjiang University. The author has contributed to research in topics: Computer science & Renewable energy. The author has an hindex of 7, co-authored 17 publications.
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Papers
A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm
TL;DR: A newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed for minimizing the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack.
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Dynamic environmental economic dispatch of hybrid renewable energy systems based on tradable green certificates
TL;DR: A multi-objective dynamic economic emission dispatch model for wind-solar-hydro power under tradable green certificates is formulates, taking into account the overestimation and underestimation costs caused by the randomness of renewable energy.
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A new methodology for optimal location and sizing of battery energy storage system in distribution networks for loss reduction
TL;DR: A new methodology has been proposed for optimal allocation and optimal sizing of a lithium-ion battery energy storage system (BESS) and the results showed that using two BESS can reduce the total error of the distribution system.
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A Chaos Disturbed Beetle Antennae Search Algorithm for a Multiobjective Distribution Network Reconfiguration Considering the Variation of Load and DG
TL;DR: A new Chaos Disturbed Beetle Antennae Search (CDBAS) algorithm is proposed to reduce the computational time and solve the multiobjective optimal problem of network reconfiguration and outperforms other algorithms and produces a quality decision solution.
Hybrid time-scale energy optimal scheduling strategy for integrated energy system with bilateral interaction with supply and demand
TL;DR: An adaptive reference point based large scale multi-objective whale optimization algorithm is proposed and the results show that the strategy can balance the economy and robustness, improve the profit benefit of IES by 61.5% with the traditional robustness and balance the benefits of market entities, bilateral game can increase the benefit ofIES by 57.6%.
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