Electric vehicle charging incentive mechanism based on block chain and machine learning

Abstract

The invention relates to an electric vehicle Internet scene applied to a local energy aggregator and an electric vehicle for carrying out demand response, and a method for jointly solving the problemsof how to protect the safety of transaction information and the privacy of both parties of the transaction, how to design an incentive mechanism, and how to predict the private information of the electric vehicle. We propose a transaction method based on coalition block chain, which protects the security of transaction information and the privacy of both parties, and reduces the cost of consensusprocess in the process of building a transaction information block. In order to encourage electric vehicles to participate in demand response, we propose an incentive-compatible demand response mechanism based on contract theory modeling. In order to maximize social welfare, the contract is tailored to the unique characteristics of each type of electric vehicles. The optimization problem is solved by using the iterative convex-concave programming algorithm. In order to predict the private information of electric vehicles, we derive the probability distribution of EV type by exploring the computationally intelligent state-of-charge (SoC) estimation technology. Finally, the relationship among social welfare, EV type, incentive, emission power and SoC estimation errors is illustrated by numerical results.

Description

technical field [0001] The invention belongs to the field of smart grids, and specifically relates to a scene where a local energy aggregator (LEAG) and an electric vehicle (EV) perform demand response, and how to protect the security of transaction information and the privacy of both parties , how to design the incentive mechanism, and how to predict the private information of electric vehicles to jointly solve the problem can ensure that on the basis of normal electricity demand, it can not only reduce the deployment of a large number of centralized generators and energy storage devices, thereby reducing capital Expenses and operating expenses, but also can reduce line loss in the process of power transmission and improve power efficiency. Background technique: [0002] Smart energy management, which enables the optimal use of scarce energy resources, is essential for building a smart, green and sustainable city. However, the large-scale penetration of intermittent distri...

AI Technical Summary

Problems solved by technology

[0005] Electric Vehicle Internet Energy Trading Lacks Incentive-Compatible Demand Response Mechanisms: Due to increased battery consumption and other discharge-related costs, EVs are reluctant to participate in large-scale decentralized energy trading unless they are well compensated

For example, a major barrier to EV discharge is range anxiety, the fear of being stuck with a dead battery due to limited range and long charging times

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