Abstract
Demand response management (DRM) in smart grid plays an important role in balancing electricity demand and supply between the consumers and power supplier. The paper mainly deals with the home area network (HAN) where smart meter of each consumer is enabled with cognitive radio (CR) technology. The reliable communication between the consumer and supplier is ensured by maximizing the aggregated benefit by optimizing real-time demands at the consumer’s side under the constraints of interference to the primary user, probability of detection and minimum achievable data rate. The above objective problem is solved by our proposed adaptive resource allocation approach based on genetic algorithm (GA). In this approach, individual consumers maximize their own profit iteratively with optimal transmission power resulting in maximized aggregated benefit. Simulation results demonstrate the effectiveness of the proposed algorithm providing benefits to both power supplier and consumer with optimal power and demands allocation, and with reasonable value of electricity price.
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Das, D., Behera, N. (2020). Adaptive Resource Allocation for Cognitive Radio-Enabled Smart Grid Network. In: Pradhan, G., Morris, S., Nayak, N. (eds) Advances in Electrical Control and Signal Systems. Lecture Notes in Electrical Engineering, vol 665. Springer, Singapore. https://doi.org/10.1007/978-981-15-5262-5_14
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DOI: https://doi.org/10.1007/978-981-15-5262-5_14
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