摘要
根据不同层级的不同运行目标和约束条件,研究虚拟发电厂多目标分层优化模型,综合考虑经济性与安全性,为新能源的安全高效利用提供有效的控制方法。采用改进的隶属度函数方法和最大满意度模型将多目标问题转化为单目标优化问题,并采用遗传算法求解。最后通过算例验证了模型的有效性。
Considering the operating characteristics of virtual power plant,the multilevel control architecture of virtual power plant based on multi-agent system was built,and the structure and function of agent was designed.Then according to the different operation objectives and constraints of different levels,a multi-objective hierarchical optimization model of virtual power plant is proposed,which considers the safety and economy,to provide effective control method for the safe and efficient use of new energy.The multi-objective problem is transformed into a single objective optimization problem by using the improved membership function method and the maximum satisfaction model,and the genetic algorithm is used to solve the problem.Finally,the validity of the proposed model is verified by the calculation example.
出处
《电器与能效管理技术》
2017年第3期19-25,33,共8页
Electrical & Energy Management Technology
基金
国家自然科学基金项目(51577115)
国家重点研发计划项目(2016YFB0901304)
关键词
虚拟发电厂
多代理系统
清洁能源
分层控制
多目标优化
virtual power plant
multi-agent system
clean energy
hierarchical control
multi-objective optimization
