系统管理学报 ›› 2019, Vol. 28 ›› Issue (6): 1134-1142.DOI: 10.3969/j.issn.1005-2542.2019.06.014

• 运筹学与工业工程 • 上一篇    下一篇

基于区块链的能源电力供需网调度优化模型

胡伟,姚文慧   

  1. 上海电力大学 经济与管理学院,上海 200090
  • 出版日期:2019-11-28 发布日期:2020-01-15
  • 作者简介:胡伟(1979-),博士(后),副教授。研究方向能源区块链、能源电力优化决策等。
  • 基金资助:
    国家社会科学基金资助项目(19BGL003

Optimization Model of Energy Power Supply and Demand Network Dispatching Based on Blockchain

HU Wei, YAO Wenhui   

  1. School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China
  • Online:2019-11-28 Published:2020-01-15

摘要: 针对传统电力调度过程中难以调控能源、易产生网络损耗等缺陷,提出基于区块链的能源电力供需网调度优化模型。结合区块链的去中心化、可信任、交易透明化的特性,建立能源电力供需网模型;利用区块链激励机制,实现能源电力供需网协调控制分布式能源独立并网的行为;在此基础上,根据运营成本最低、有功损耗最小等目标函数建立调度优化模型,运用协作型协同进化算法(CCEA)对模型进行求解,并通过区块链的POW共识机制,安排能源电力供需网各节点进行分布式计算,实现调度方案的二次验证与优化。算例结果表明,与传统的电力能源调度模型相比,本文所提出的方法可使总运营成本降低9.9%,有功网络损耗降低3.5%,日负荷方差等因素也有所改善,提高了电力系统的稳定性,为优化能源电力调度问题提供决策支持和理论支撑。

关键词: 区块链, 能源电力供需网, 调度优化, 激励机制, POW共识机制

Abstract: Aiming at the difficulties in regulating energy and easily generating network loss in the traditional power dispatching process, a blockchain-based energy and power supply network scheduling optimization model is proposed. Based on the characteristics of decentralization, trustworthiness and transaction transparency of blockchain, the model of energy supply and demand network is established. Besides, the blockchain incentive mechanism is used to realize the coordinated control of distributed energy independent grid connection. Moreover, a scheduling optimization model is established based on the objective function with the lowest operating cost and the least active loss, and the collaborative co-evolutionary algorithm (CCEA) is used to solve the model. Furthermore, the energy supply and demand network is arranged through the POW consensus mechanism of the blockchain while the nodes perform distributed computing to achieve secondary verification and optimization of the scheduling scheme. The results of the example show that compared with the traditional power energy dispatching model, the proposed method can reduce the total operating cost by 9.9%, the active network loss by 3.5%, and improve the variance of daily load, which stabilizes the power system, providing decision support and theoretical support for optimizing energy and power dispatching problem.

Key words: blockchain, ecergy and power supply ad demand network, scheduling optimization, incentive mechanism, POW consensus mechanism

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