Optimal Bidding Strategy for Social Welfare Maximization in Wind Farm Integrated Deregulated Power System Using Artificial Gorilla Troops Optimizer Algorithm

Author:

Singh Nitesh Kumar1ORCID,Gope Sadhan2ORCID,Koley Chaitali1ORCID,Dawn Subhojit3ORCID,Alhelou Hassan Haes4ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, Aizawl, India

2. Department of Electrical Engineering, Mizoram University, Aizawl, India

3. Department of Electrical and Electronics Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India

4. Department of Electrical Power Engineering, Tishreen University, Lattakia, Syria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference41 articles.

1. Optimal Bidding Strategy for Physical Market Participants With Virtual Bidding Capability in Day-Ahead Electricity Markets

2. Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems

3. A joint scheduling optimization strategy for wind and pumped storage systems considering imbalance cost & grid frequency in real-time competitive power market;dawn;Int J Renew Energy Res,2016

4. Marginal loss calculation in competitive electrical energy markets;li;Proc IEEE Int Conf Electr Utility Deregulation Restructuring Power Technol,2004

5. Impact of Energy Imbalance on Financial Rewards in Peer-to-Peer Electricity Markets

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