Balanced Standalone Clustering Unit Commitment Solution for Smart Grid Using Probability Algorithms-Reference-Cited by-同舟云学术

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Balanced Standalone Clustering Unit Commitment Solution for Smart Grid Using Probability Algorithms

Published:2022-06-07 Issue:2 Volume:44 Page:5246-5266
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Ramasamy Kannan¹,Moses Manoraja Paul¹,Manoharan Mathankumar²,Padmanaban Sanjeevikumar³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Nehru Institute of Engineering and Technology, Coimbatore, India

2. Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, India

3. CTiF Global Capsule, Department of Business Development and Technology, Aarhus University, Herning, Denmark

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2083270

Reference40 articles.

1. Evaluating the effect of electric vehicle parking lots in transmission-constrained AC unit commitment under a hybrid IGDT-stochastic approach

2. Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage

3. Multi-objective combined heat and power unit commitment using particle swarm optimization

4. A Review on Energy Forecasting Algorithms Crucial for Energy Industry Development and Policy Design

5. Unit-commitment via logarithmic aggregated convex combination in multi-unit hydro plants

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