Robust Max Min Max Optimization Approach for Multi-Carrier Energy System-Reference-Cited by-同舟云学术

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Robust Max Min Max Optimization Approach for Multi-Carrier Energy System

Published:2023-12-19 Issue: Volume: Page:1538-1542
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
language:
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Author:

Garg Ankit¹,Niazi K. R.¹,Sharma Sachin²,Rawat Tanuj³,Bansal Mohit⁴,Munaswamy P⁵

Affiliation:

1. MNIT,Department of Electrical Engineering,Jaipur,India

2. Graphic Era (Deemed to be University),Department of Electrical Engineering,Dehradun,India

3. Newcastle University, School of Engineering,Newcastle Upon Tyne,UK

4. G.L.Bajaj Institute of Technology and Management,Department of EEE,Gr. Noida,India

5. Institute of Aeronautical Engineering,Department of Electronics and Communication Engineering,Hyderabad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10451049.pdf?arnumber=10451049

Reference15 articles.

1. Optimization on building combined cooling, heating, and power system considering load uncertainty based on scenario generation method and two-stage stochastic programming

2. A novel energy management framework incorporating multi‐carrier energy hub for smart city

3. Optimization on building combined cooling, heating, and power system considering load uncertainty based on scenario generation method and two-stage stochastic programming

4. Optimal Operation of Energy Hub Integrated with Electric Vehicles and Power-to-Gas In Presence of Demand Response

5. Transactive Energy Sharing in a Microgrid via an Enhanced Distributed Adaptive Robust Optimization Approach

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