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Harnessing Solar PV and Demand Response for Carbon Reduction in Gas-Fired Power Plants Using Ant Colony Optimization
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DOI：10.4025/actascitechnol.v48i1.74207.png)
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Abstract
En 中文
Addressing climate change requires urgent efforts to reduce carbon dioxide (CO2) emissions from gas-fired power plants (GFPPs), which remain integral to India's energy sector. While various mitigation strategies have been explored, the integration of solar photovoltaic (PV) systems with demand response (DR) in GFPPs remains under examined. This study evaluates the effectiveness of combining solar PV and DR for emissions reduction using Ant Colony Optimization (ACO) to optimize PV allocation, considering solar variability, demand profiles, and the carbon intensity of gas-fired generation. Unlike previous research focused on single energy sources or isolated optimization techniques, this study integrates PV generation with demand-side management to enhance both emissions reduction and energy efficiency. Tested on the IEEE 33-bus system with real-world Indian GFPP data, the proposed approach achieves a 27.66% CO2 reduction, demonstratingits viability. The findings provide a strategic framework for policymakers and industry stakeholders to implement low-carbon technologies in gas-fired power generation.
Keywords:
Ant colony optimization
CO2
Gas fired power plant
Renewable energy
Journal
A
IF:
0.6
Papers:
31
Citations:
563
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Cited Papers