摘要
虚拟电厂是通过聚合管理各类需求侧资源参与电力市场交易、提供辅助服务和实现点对点交易的有效途径。针对传统虚拟电厂内部进行交易决策优化过程中存在的信息篡改和隐私泄露等问题,提出一种基于主侧区块链结构的虚拟电厂分布式交易决策优化方法。为了激励聚合商参与点对点交易市场,设计了一种结合自适应定价机制的虚拟电厂聚合商点对点交易机制。为防止优化过程中不诚实的聚合商篡改交互信息,基于主侧区块链提出一种改进的实用拜占庭容错共识算法。为进一步防止信息交互导致的隐私泄露,提出一种基于Shamir秘密共享方案的信息加密和解密算法。最后,通过算例分析验证了所提方法在交易决策优化、防篡改和隐私保护方面的优越性。
The virtual power plant serves as an effective means of participating in electricity market transactions,providing ancillary services,and enabling peer-to-peer transactions through the aggregation and management of various demand-side resources.Addressing the issues such as information manipulation and privacy leakage during the transaction decision optimization process in the traditional virtual power plant,a distributed transaction decision optimization method based on the main-side blockchain structure is proposed.To incentivize the participation of aggregators in the peer-to-peer trading market,a peer-to-peer trading mechanism for virtual power plant aggregators with an adaptive pricing mechanism is designed.To resist dishonest aggregators from manipulating interaction information during the optimization process,an improved practical Byzantine fault tolerance consensus algorithm based on the main-side blockchain is proposed.Additionally,to further prevent privacy leakage resulting from information interaction,a message encryption and decryption algorithm based on Shamir’s secret sharing scheme is proposed.Finally,the superiority of the proposed method in terms of transaction decision optimization,manipulating resistance,and privacy preservation is verified through numerical analysis.
作者
栾文鹏
李培琳
赵博超
许彪
LUAN Wenpeng;LI Peilin;ZHAO Bochao;XU Biao(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第18期158-166,共9页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2021YFB2401203)
国家自然科学基金青年科学基金资助项目(52307133)
天津市自然科学基金青年项目(23JCQNJC01670)。
关键词
虚拟电厂
区块链
隐私保护
共识算法
分布式优化
virtual power plant
blockchain
privacy preservation
consensus algorithm
distributed optimization
