引用本文: | 邸 剑,臧齐齐,王桂兰,杨璟正,周国亮.基于区块链和梯度修正法的分布式经济调度策略研究[J].电力系统保护与控制,2022,50(21):99-107.[点击复制] |
DI Jian,ZANG Qiqi,WANG Guilan,YANG Jingzheng,ZHOU Guoliang.A distributed economic scheduling strategy based on blockchain and gradient correction method[J].Power System Protection and Control,2022,50(21):99-107[点击复制] |
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摘要: |
分布式经济调度计算负载均衡、可扩展性强,适用于电源分散分布的场景。区块链作为分布式对等网络,具有去中心化、安全性高和数据高度共享等特征,与分布式经济调度的需求相契合。针对分布式经济调度中全局信息共享难、存在个体欺骗以及安全性不足的问题,提出了基于区块链和梯度修正法的分布式经济调度策略。该策略考虑配电网的多种约束,采用统一微增变量的梯度修正法迭代计算各电源功率,实现电网最小经济成本下的最优功率分配。对以太坊技术进行了调整和改进,大幅降低其算力消耗和部署成本。并将调度算法合约化,结合区块链的存储、共识和加密机制优化节点间的信息共享,防止个体欺骗行为,提高系统的安全性。仿真实验和分析表明,基于区块链和梯度修正法的分布式经济调度策略收敛速度快,具有良好的鲁棒性、安全性及可扩展性。 |
关键词: 分布式经济调度 区块链 以太坊 梯度修正法 个体欺骗 |
DOI:DOI:?10.19783/j.cnki.pspc.220087 |
投稿时间:2022-01-19修订日期:2022-07-11 |
基金项目:国家自然科学基金项目资助(62171185) |
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A distributed economic scheduling strategy based on blockchain and gradient correction method |
DI Jian,ZANG Qiqi,WANG Guilan,YANG Jingzheng,ZHOU Guoliang |
(1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;
2. Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education,
Baoding 071003, China; 3. Skill Training Center of State Grid Jibei Electric Power Co., Ltd., Baoding 071051, China) |
Abstract: |
Distributed economic scheduling has strong load balancing and scalability, and is suitable for scenarios where power sources are distributed. As a distributed peer-to-peer network, blockchain has the characteristics of decentralization, high security and high data sharing. This meets the needs of distributed economic scheduling. To solve the problems of difficult global information sharing, individual deception and insufficient security, this paper proposes a strategy based on a blockchain and gradient correction method. The strategy considers various constraints, and adopts the gradient correction method of unified slightly increasing variables to iteratively calculate the power of each power source, and achieve the optimal power allocation under the minimum economic cost to the power grid. The Ethereum technology is adjusted and improved to reduce its computing power consumption and deployment cost, and the scheduling algorithm is contracted to optimize the information sharing between nodes, prevent individual deception and improve the security of the system in combination with the blockchain storage, consensus and encryption mechanisms. Simulation experiments and analysis show that the distributed economic scheduling strategy based on blockchain and gradient modification method has fast convergence speed, good robustness, security and scalability.
This work is supported by the National Natural Science Foundation of China (No. 62171185). |
Key words: distributed economic scheduling blockchain Ethereum gradient correction method individual deception |