No abstract

Exchanging information and data within smart grids is crucial to improve interoperability among system users. Traditional cloud-based data exchange schemes are centralized on a single trusted third-party platform. The schemes consequently suffer from single-point failure, a lack of data protection, and uncontrolled access. Blockchain enables data exchange in a decentralised and secure manner. A new platform is proposed in this work for exchanging data within smart grids using blockchain. It allows users to securely exchange data without losing ownership. This platform provides solutions to three critical problems: privacy, scalability, and user ownership. Particularly, the blockchain-based smart contract technology gives participants the programmability to access data. All interactions are authenticated and recorded by the other participants in the tamper-resistant blockchain network. Furthermore, the performance of the proposed blockchain platform is enhanced by integrating it with an artificial neural network (ANN). The proposed method is used to predict the network’s throughput and latency, and the network administrator uses these predicted values to change the network’s settings for a high throughput and low latency. Throughout the results, the proposed model achieves performance improvements in blockchain-enabled information and data exchange and adapts well to the dynamics of smart grids.

Reliability and performance measurement of the cloud computing platform is significant for future information and data exchange in power systems. This paper presents a novel approach for creating virtual machine clusters based on a service-oriented approach. Cloud computing techniques can be utilized to achieve greater interoperability between Transmission System Operators (TSO) and Distribution System Operators (DSO). One of the key elements of cloud computing systems is virtualization, which allows several virtual machines to be built on a single server. This research leverages cloud computing as the major platform for information and data exchange between TSO and DSO. In this work, we have performed a series of tests on the data exchange platform to test its scalability and reliability. The main objective of the proposed virtual machine clustering is to achieve high scalability and reliability.

Exchanging information and data using cloud computing in power systems is now becoming a common practice. However, there are still many challenges such as data security, interoperability, and scalability that need to be considered. In this paper, the authors have exploited blockchain technology to enhance data security. A blockchain based approach is developed to exchange information and data in power systems. This approach enables users to exchange information and data without losing ownership or control of the data. The proposed approach provides the solutions to three important problems: scalability, data ownership, and interoperability between different stakeholders within power systems. The case studies evaluate the effectiveness of the proposed novel approach with regard to enhancing information and data exchange. The paper specifically examines enhanced performance concerning scalability, latency, and computation time.