Multi-Objective Optimization With Multiple Load Control Strategy

doi:10.1109/GPECOM58364.2023.10175782

Multi-Objective Optimization With Multiple Load Control Strategy

2023-06-14

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DOI：10.1109/GPECOM58364.2023.10175782

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In recent years, countries have enacted greenhouse gas emission reduction targets in response to global warming and other environmental problems. In order to achieve these targets, power generation from renewable energy sources has been attracting attention. Although Photovoltaics (PV) are easier to install than other renewable energy sources, it creates a problem known as the duck curve phenomenon. To solve this problem, various load controls need to be introduced to operate with less fluctuation in load demand. This paper performs a multi-objective optimization of future grid operation by introducing BESS(Battery Energy Storage System), ADLC (Advanced Direct Load Control), and V2H (Vehicle to Home) load control. This simulation was performed using the epsilon constraint method with MILP in Matlab for multi-objective optimization. The results show that the introduction of multiple load controls can mitigate the duck curve phenomenon and optimize both operating costs and CO2

Keywords:

Unit Commitment

ADLC

V2H

BESS

Demand Response

Multi-Objective Optimization With Multiple Load Control Strategy

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