Market Clearing with Renewable Integration, Storage and Network Limits

The nature of renewable energy resources is unpredictable because of its heavy reliance on meteorological conditions. Energy Storage Systems (ESS) can be placed in power systems to help mitigate these risks and give customers uninterrupted electricity. The best planning and scheduling for energy storage systems (ESSs) for managing congestion in electric power systems with renewable energy sources is presented in this research. The suggested issue determines the ideal ESS capacity and charging/discharging schedule through mixed integer linear programming. Efficient charging and discharging of energy storage systems (ESSs) is the key to managing network congestion and the mitigation of uncertain renewable supplies. In this paper it is revealed that the power producer optimally traded the power in the electricity market during a 6-h planning segment of a wind-power plant combined with a storage with maximizing the profit keeping in view of congestion free power flow.

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Published
2024-11-08
DOI
https://doi.org/10.1109/odicon62106.2024.10797545
Primary Topic
Economic theories and models
Type
article
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article

Market Clearing with Renewable Integration, Storage and Network Limits

Barnali Kundu, Chandan Kumar Chanda, Bishaljit Paul, Susovan Dutta
Economic theories and models
article

Market Clearing with Renewable Integration, Storage and Network Limits

Barnali Kundu, Chandan Kumar Chanda, Bishaljit Paul, Susovan Dutta
article en

Abstract

The nature of renewable energy resources is unpredictable because of its heavy reliance on meteorological conditions. Energy Storage Systems (ESS) can be placed in power systems to help mitigate these risks and give customers uninterrupted electricity. The best planning and scheduling for energy storage systems (ESSs) for managing congestion in electric power systems with renewable energy sources is presented in this research. The suggested issue determines the ideal ESS capacity and charging/discharging schedule through mixed integer linear programming. Efficient charging and discharging of energy storage systems (ESSs) is the key to managing network congestion and the mitigation of uncertain renewable supplies. In this paper it is revealed that the power producer optimally traded the power in the electricity market during a 6-h planning segment of a wind-power plant combined with a storage with maximizing the profit keeping in view of congestion free power flow.

Indian Institute of Engineering Science and Technology, Shibpur (IN)
Openalex Percentile: Top 70%
Economic theories and models
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