基于微网碳计量数据的低压台区协同管理方法

Collaborative management method, low voltage station area based on microgrid carbon metering data

中文关键词: 碳计量  微电网  动态内聚性  多目标协同进化  多目标调度优化模型

英文关键词: carbon metering  microgrid  dynamic cohesion  multi-objective coevolution  multi-objective scheduling optimization model

中文摘要:

      随着新能源技术的快速发展和广泛应用，电力系统正面临着高比例新能源和多主体互联的趋势。然而，机组主体多样性的调度目标在全时段求解所带来的维度爆炸成为影响系统正常运行的主要问题。为此，提出了一种基于微网碳计量数据的低压台区协同管理方法，采用碳计量有效监测和控制碳排放量，实现减少碳排放的目标。根据系统的动态内聚性，划分主体进行最优调度的时间范围，均衡求解维度。同时为解决高比例新能源系统的经济运行、环境效益及消纳等问题，构建多目标调度模型，将碳排放量较小的机组优先调度，以达到减排的目的，结合其动态内聚性及动态多目标协同进化求解模型。最后算例分析结果表明，所提的模型及求解方法可有效降低求解的计算维度并实现对低压台区的精细化调度和管理，提升系统的运行效率和稳定性。

英文摘要:

      With the rapid development and wide application of new energy technologies, power system is facing the trend of high proportion of new energy and multi-agent interconnection. However, the dimensional explosion caused by solving the scheduling target of unit subject diversity in the whole period has become the main problem affecting the normal operation of the system. Therefore, a collaborative management method is proposed low-voltage station area based on microgrid carbon metering data. According to the dynamic cohesion of the system, the time range of optimal scheduling by the agent is divided to balance the solution dimension. At the same time, in order to solve the problems of economic operation, environmental benefit and consumption of high proportion of new energy system, a multi-objective scheduling model is constructed, which combines its dynamic cohesion and dynamic multi-objective co-evolution solution model. The results of the final example show that the model and solution method proposed can effectively reduce the computational dimension of the solution and realize the fine scheduling and management of the low-voltage station area, and improve the operation efficiency and stability of the system.