Search Results - "Pang, Aokang"

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  1. 1

    Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy by Liang, Huijun, Lin, Chenhao, Pang, Aokang

    “…With the expansion of power grid, unaffordable computational cost and time will pose serious challenges of time-efficient scheduling in unit commitment problem…”
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    Journal Article
  2. 2

    A Surrogate-Assisted Adaptive Bat Algorithm for Large-Scale Economic Dispatch by Pang, Aokang, Liang, Huijun, Lin, Chenhao, Yao, Lei

    Published in Energies (Basel) (01-01-2023)
    “…Large-scale grids have gradually become the dominant trend in power systems, which has increased the importance of solving the challenges associated with…”
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    Journal Article
  3. 3

    A binary bat algorithm with improved crossover operators and Cauchy mutation for unit commitment problem by Pang, Aokang, Liang, Huijun, Lin, Chenhao, Yao, Lei

    Published in The Journal of supercomputing (01-05-2024)
    “…Power system operators are faced with the problem of unit commitment belonging to mixed integer programming, which becomes very complicated, as units become…”
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    Journal Article
  4. 4

    Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization approach by Lin, Chenhao, Liang, Huijun, Pang, Aokang, Zhong, Jianwei

    Published in Frontiers in energy research (06-09-2023)
    “…Combined economic/emission dispatch (CEED) is generally studied using analytical objective functions. However, for large-scale, high-dimension power systems,…”
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    Journal Article
  5. 5

    Data-Driven Surrogate-Assisted Method for High-Dimensional Multi-Area Combined Economic/Emission Dispatch by Chenhao Lin, Huijun Liang, Aokang Pang, Jianwei Zhong, Yongchao Yang

    “…Multi-area combined economic/emission dispatch (MACEED) problems are generally studied using analytical functions. However, as the scale of power systems…”
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    Journal Article
  6. 6

    A fast data-driven optimization method of multi-area combined economic emission dispatch by Lin, Chenhao, Liang, Huijun, Pang, Aokang

    Published in Applied energy (01-05-2023)
    “…To provide more feasible schemes for power system optimization management and operation, the interconnection of power grids in different areas is inevitable…”
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    Journal Article
  7. 7

    Surrogate-assisted Optimization Method for Optimal Dynamic Economic Dispatch including Aggregation Regulation of Wind and Biomass Farms by Liang, Huijun, Lin, Chenhao, Pang, Aokang

    Published in IEEE transactions on industry applications (17-07-2024)
    “…Due to the uncertain nature of wind and the booming number of generator units, a novel dynamic economic dispatch (DED) approach involving wind-biomass…”
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    Journal Article
  8. 8

    Surrogate-Based Constraint-Handling Technique for Multi-Area Combined Economic/Emission Dispatch Problems Within Bi-Level Programming Framework by Liang, Huijun, Lin, Chenhao, Pang, Aokang

    “…Due to long optimization time and limited dispatching cycle, multi-area combined economic/emission dispatch (MACEED) problems are converted into…”
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    Journal Article
  9. 9

    Offline Neural Network-Assisted RCBA for Solving Large-Scale Economic Dispatch by Pang, Aokang, Liang, Huijun, Lin, Chenhao, Tian, Shidong, Chen, Wentao, Yang, Huai, Yao, Lei

    Published in 2022 41st Chinese Control Conference (CCC) (25-07-2022)
    “…Economic dispatch (ED) problem which aims to reduce cost of generations is a traditional but great important topic in power system research. However, the…”
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    Conference Proceeding