Search Results - "Pang, Aokang"
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Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy
Published in International journal of electrical power & energy systems (01-08-2024)“…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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A Surrogate-Assisted Adaptive Bat Algorithm for Large-Scale Economic Dispatch
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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A binary bat algorithm with improved crossover operators and Cauchy mutation for unit commitment problem
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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Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization approach
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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Data-Driven Surrogate-Assisted Method for High-Dimensional Multi-Area Combined Economic/Emission Dispatch
Published in Journal of modern power systems and clean energy (01-01-2024)“…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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A fast data-driven optimization method of multi-area combined economic emission dispatch
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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Surrogate-assisted Optimization Method for Optimal Dynamic Economic Dispatch including Aggregation Regulation of Wind and Biomass Farms
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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Surrogate-Based Constraint-Handling Technique for Multi-Area Combined Economic/Emission Dispatch Problems Within Bi-Level Programming Framework
Published in IEEE transactions on emerging topics in computational intelligence (28-08-2024)“…Due to long optimization time and limited dispatching cycle, multi-area combined economic/emission dispatch (MACEED) problems are converted into…”
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Offline Neural Network-Assisted RCBA for Solving Large-Scale Economic Dispatch
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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