基于典型场景集的智能园区多能源微网多目标配置优化研究

构建面向智能园区的多能源微网是实现不同类型物理能源系统耦合,提高可再生能源终端能源消费占比的重要途经。通过制定恰当的多能源微网规划,对于保证多能源微网项目投资收益以及推动多能源微网有序发展具有重要意义。鉴于此,该文以园区级多能源微网为研究对象,在利用隐马尔可夫构建典型场景集以压缩系统历史数据的基础上,构建多能源微网配置多目标优化模型架构,并利用某园区实际负荷数据和分布情况,对比分析不同情景下2种不同配置方案的结果和优劣势,定量阐述了多能源微网在降低系统排放强度和系统投资成本方面的优势。

RESEARCH ON CONFIGURATION OF MULTI-ENERGY MICROGRID IN SMART PARK BASED ON TYPICAL SCENARIOS

The multi-energy microgrid for smart zone is an important way to realize the different physical energy systems coupling and increase the proportion of renewable energy in energy consumption increasing. It is significance to formulate a reasonable multi-energy micro-grid configuration method for ensuring the investment returns and the multi-energy microgrid orderly development. In view of this, this paper takes the park level multi-energy microgrid as the research object, proposes to construct the multi-objective optimization model architecture of multi-energy microgrid configuration on the basis of using HMM to construct typical scene set to compress the historical data of the system, and uses the actual load data and distribution of a park to compare and analyze the results, advantages and disadvantages of two different configuration schemes under different scenario, and quantitatively the advantages of multi energy microgrid in reducing system emission intensity and system investment cost are described.