Reliable and Cost-Effective Supply Model using Multi Agent Smart Grid Controller
Ruchi Gupta1, Deependra Kumar Jha2, Manju Aggarwal3
1Ruchi Gupta, Department of Electrical and Electronics Engineering, GD Goenka University, Gurgaon, India.
2Deependra Kumar Jha, University of Petroleum and Energy Studies, Dehradun, India
3Manju Aggarwal, Department of Electrical and Electronics Engineering, GD Goenka University, Gurgaon, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3578-3585 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6499018520/2020©BEIESP | DOI: 10.35940/ijrte.E6499.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The energy sector is moving towards renewable energy generation. Renewable energy generation is the key technology for a smart grid operation. These renewable producers’ electricity generation capacity varies significantly with change in weather conditions and causes system unreliability. To improve acceptability of this intermittency either renewable generation should be such that it meets the load demand round the corner or there should be a successful coordination between renewable power generation and the grid, so that consumer gets a reliable and cost efficient power. This paper presents a computer-based model of a multi-agent Smart Grid Controller (SGC). The design objective is to provide reliable and cost optimized electricity to the consumers. The Smart Grid Controller continuously monitors the power availability and demand on hourly basis and switches between price-based demand fulfilment and priority-based demand fulfilment algorithm accordingly. Two case studies – Renewable with Grid Power (RwGP) and Renewable without Grid Power (RwoGP) are taken into consideration. The design is validated on the data of a township. The impact of normal and extreme weather conditions on renewable producer agent’s operating capacity is simulated. System’s performance is analysed on daily and monthly data. Results show that the model not only is reliable but also provides cost optimized solution to consumers as compared to only Grid supplied system.
Keywords: SGC, Python Programming, Smart Grid Simulator.
Scope of the Article: Advanced Computing Architectures and New Programming Models.