数字孪生架构下的智慧微电网多智能体协调优化控制技术研究

Research on multi-agent coordinated optimal control technology of smart microgrid under digital twin architecture

随着智能体(微源)的不断接入,为了更好地协调控制微电网,提高经济效益,提出一种数字孪生架构下的智慧微电网多智能体协调优化控制技术。首先借助数字孪生架构设计控制技术框架,在该数字孪生架构下,以微电网运行成本和环境维护成本组成目标函数,以经济支出最少为目标,建立一个协调优化控制模型。然后为了保证微电网的稳定运行,在供需平衡约束、智能体电压约束、爬坡约束、运行容量约束、交易功率约束5个条件下,利用改进粒子群算法实现模型求解,得出智慧微电网多智能体运行优化方案。结果表明:协调优化控制技术应用后较应用前经济支出更少,由此证明所提技术达到了协调控制效果,减少了经济支出。

It analyzes a digital twin architecture based multi-agent coordinated optimization control technology for smart microgrids.Firstly,it designs a control technology framework using the digital twin architecture.Under this digital twin architecture,a coordinated and optimized control model is established with the objective of minimizing economic expenditures by combining the operating costs of microgrids and environmental maintenance costs.Then,in order to ensure the stable operation of the microgrid,under five conditions:supply and demand balance constraints,intelligent agent voltage constraints,climbing constraints,operating capacity constraints,and transaction power constraints,an improved particle swarm optimization algorithm is used to solve the model and obtain a multi-agent operation optimization plan for the smart microgrid.The results show that after the application of coordinated optimization control technology,the economic expenditure is less than before,which proves that the studied technology can achieve coordinated control effect and reduced economic cost expenditure.