Title : Arduino UNO based smart grid system for Hybrid Solar Wind system using IOT
Abstract: Solar and wind renewable energies are universal, have free access and have a friendly environmental impact. More attention is being paid to wind and its technical maturity, but it has suffered deterioration in the quality of power due to the problem of power imbalance, which requires a balance of power between all the generators. This imbalance would have an impact on the frequency of the system, which could lead to a loss of synchronism between generators. Another challenge on this generator side is to redirect current re-flow. However, it is difficult for previous methodologies to address power imbalance issues and to redirect current re-flows between power generations. In addition, the main problem with the distribution side is power theft, fault detection, and overloading. Moreover, the major problem arise in the IoT is sink-hole attack. Sinkhole attack is the most destructive routing attacks on wireless sensor networks. Thus, all those problems faced by the existing works create a major challenge for the Hybrid model based IoT system. Therefore, it is necessary to propose an effective solution to ensure power imbalance, redirect current re-flow and network security in IoT.
An renewable energy particularly the combination of solar-wind power and storage bank, is likely to be occupied throughout the world, to mitigate the local energy concerns, improve the energy supply opportunities for off-grid communities and vitiate environmental pollution concerns as well as ease the intensity of energy consumption. But the main challenge was power imbalanced and redirect current re-flows as mentioned in our motive. Moreover, the major problem arise in the IoT is sink-hole attack. Brief explanation of our model has being presented in next Para.
A new hybrid PV system adds to both generation and distribution sides of its operating mechanism. It involves a Uniform Non-Linear Controller with Amalgam Optimal Optimization, which regulates energy imbalances and redirects present re-flows on the generation hand. In addition to the ideal amalgam optimization, the ideal solution for the energy imbalanced on the controller is provided. Additionally, the ideal amalgam optimization tracks the peak energy. Power theft and fault detection are the main problems on the smart grid side. Overcome all of the above problems, we use the Brainy Attack Detection Method based on Amended Arduino UNO. Arduino UNO is completely used on the basis of a wireless sensor network (WSN). Arduino UNO is used to define electricity theft more precisely and to solve it more rapidly. In addition, the primary issue faced by Arduino UNO using WSN is the sinkhole attack. Sinkhole attack is the most damaging routing attack on wireless sensor networks. Brainy Attack Detection Method overwhelms Sinkhole attacks via wireless networks. Thus, the proposed scheme achieves better transient stability by addressing the problems facing the power system.