Research on Blockchain Electric Energy Transaction Based on NSGA2 Genetic Algorithm

Juan Zhang, Jiani Xiang, Tao Xing, Bin Wang, Yuquan Chen
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Abstract

In the traditional electricity trading model, centralized transaction data and centralized regulatory agencies will bring about problems such as low data security and a crisis of trust in regulatory agencies. As an emerging distributed shared database technology in the Internet era, blockchain is related to the characteristics and it have a natural fit with the energy Internet, which brings a development opportunity to the traditional power transaction. This paper selects the microgrid operator (MO), energy aggregator (EA) and large power user (LC) as the distribution side the main body of electricity trading, built a power distribution side power market trading platform under blockchain technology, with the goal of maximizing benefits and minimizing costs, and established an active distribution network power trading optimization model based on cooperative evolutionary games,and use NSGA2 genetic algorithm to solve. And on the basis of the obtained optimization results, the Shapley value method is used to distribute the benefits of the power purchase cost of large consumer. The solution result of the optimization model is the basis for the generation of the smart contract. The calculation example results verify the feasibility of the smart contract model and the functional characteristics of the blockchain as a distributed ledger.
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基于NSGA2遗传算法的区块链电能交易研究
在传统的电力交易模式中,集中的交易数据和集中的监管机构会带来数据安全性低、监管机构信任危机等问题。区块链作为互联网时代新兴的分布式共享数据库技术,其特点与能源互联网有着天然的契合,为传统的电力交易带来了发展机遇。本文选取微电网运营商(MO)、能源聚合商(EA)和大电力用户(LC)作为配电网侧电力交易主体,构建了基于区块链技术的配电网侧电力市场交易平台,以效益最大化和成本最小化为目标,建立了基于合作进化博弈的主动配电网电力交易优化模型,并采用NSGA2遗传算法求解。并在得到优化结果的基础上,采用Shapley值法对大用户购电成本的效益进行分配。优化模型的求解结果是生成智能合约的基础。算例结果验证了智能合约模型的可行性和区块链作为分布式账本的功能特点。
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