Multidisciplinary collaborative optimisation‐based scenarios decoupling dynamic economic dispatch with wind power-Reference-Cited by-同舟云学术

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Multidisciplinary collaborative optimisation‐based scenarios decoupling dynamic economic dispatch with wind power

Published:2018-03-06 Issue:6 Volume:12 Page:727-734
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Xie Min¹,Luo Wenhao²,Cheng Peijun¹,Ke Shaojia¹,Ji Xiang³,Liu Mingbo¹

Affiliation:

1. The School of Electric PowerSouth China University of TechnologyGuangzhouPeople's Republic of China

2. Foshan Power Supply BureauFoshanPeople's Republic of China

3. Jiaxing Power Supply Branch Company of State GridJiaxingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2017.0513

Reference25 articles.

1. Probabilistic Model of Payment Cost Minimization Considering Wind Power and Its Uncertainty

2. Combined Monte Carlo simulation and OPF for wind turbines integration into distribution networks

3. Allocation of Hourly Reserve Versus Demand Response for Security-Constrained Scheduling of Stochastic Wind Energy

4. Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC

5. Security-Constrained Unit Commitment With Volatile Wind Power Generation

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1. A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids;Energies;2023-05-09

2. A multidiscipline collaborative optimization approach with acceleration strategies for generator maintenance scheduling in large hydrothermal power systems considering uncertainty of natural inflows;Sustainable Energy, Grids and Networks;2022-12

3. A hybrid dynamic economic environmental dispatch model for balancing operating costs and pollutant emissions in renewable energy: A novel improved mayfly algorithm;Expert Systems with Applications;2022-10

4. A novel evolutionary algorithm for solving large-scale dynamic economic dispatch problem integrated with wind power;2022 6th International Conference on Deep Learning Technologies (ICDLT);2022-07-26

5. A Multidiscipline Collaborative Optimization Approach with Acceleration Strategies for Generator Maintenance Scheduling in Large Hydrothermal Power Systems Considering Uncertainty of Natural Inflows;SSRN Electronic Journal;2022

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