Design of a smart grid management system with renewable energy generation

Nature oriented power generation systems are considered as renewable energy sources. Renewable energy generations are safe to the environment and nature, in terms of minimal radiation and pollution. The space requirement, operational and maintenance cost of renewable energy generation stations are also comparatively lesser than the conventional generating stations. The new form of micro grid energy stations of 230Volt supply attract the small commercial users and the domestic users. The smart grid energy generation is widely employed in the place where the conventional energy supply is not available. Due to its simple construction process, the smart grid renewable energy stations are employed on certain national highways as charging stations for electric vehicles and as a maintenance centre. The motive of the proposed work is to alert the smart grid system with an intelligent algorithm for making an efficient energy generation process on various climatic changes. This reduces the energy wastage in the primary smart grid station and makes the system more reliable on all conditions. The performance of the proposed approach is compared with a traditional smart grid system which yielded a satisfactory outcome.

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Reliable and Cost-Effective Supply Model using Multi Agent Smart Grid Controller

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.e6499.018520 ◽

2020 ◽

Vol 8 (5) ◽

pp. 3578-3585

Keyword(s):

Renewable Energy ◽

Smart Grid ◽

Cost Effective ◽

Weather Conditions ◽

Energy Generation ◽

Renewable Power ◽

Multi Agent ◽

Grid Operation ◽

Renewable Energy Generation ◽

The Impact

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.

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