摘要
冷热电综合能源系统是促进多种能源综合利用的重要载体,也是能源互联网发展的重要基础。为实现源荷双重不确定时冷热电综合能源系统的运行优化,并充分发挥源荷储各环节的调控潜力,本文提出了一种考虑源荷储协调的冷热电综合能源系统随机优化运行方法。首先采用非参数核密度估计与概率场景抽样相结合的方法对综合能源系统中源荷不确定性进行挖掘和表征,在此基础上,全面考虑储电、储冷、储热等多种能源存储形式及负荷需求响应措施,建立了源荷储协调的冷热电综合能源系统随机优化运行模型。针对模型中能源存储设备的运行时段耦合约束和日运行能量平衡约束等带来的复杂多阶段决策问题,提出基于序列二次规划算法的模型求解方法。以某典型冷热电综合能源系统为测试算例,对不考虑储能、不考虑需求响应及详细考虑源荷储协调的多种情形进行了对比分析,结果证明了所提模型和方法的有效性。
The integrated energy system including cooling,heating and power is an important carrier to promote the comprehensive utilization of various energy sources and an important foundation for the development of energy Internet.In order to realize the optimal operation of the integrated energy system of cooling,heating and power under the uncertainty of source and load,and give full play to the regulatory potential of source-load-storage,this paper proposes a stochastic optimal operation model of the integrated cooling,heating and power energy system with fully consideration of the coordination between the source-load-storage.The combined non-parametric kernel density estimation and probability scenario sampling method is introduced to excavate and characterize the uncertainty of source and load.A stochastic optimal operation model is established by comprehensively considering various energy storage forms such as electricity storage,cold storage,heat storage,and the coordination of source load storage is also taken into account in detail.In order to solve the complex multi-stage decision-making problem caused by the coupling constraints of the energy storage devices during the operation period and the daily operation energy balance constraints,the sequential quadratic programming algorithm is presented to solve the model.By taking a typical integrated cooling,heating and power energy system as a test example,a comparative analysis of various operating modes including no energy storage,no demand response,and source-load-storage coordination is conducted.The results show the effectiveness of the proposed model and method.
作者
祁晓敏
孔力
熊煌
裴玮
肖浩
QI Xiao-min;KONG Li;XIONG Huang;PEI Wei;XIAO Hao(Electric Power Planning&Engineering Institute,Beijing 100120,China;Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《电工电能新技术》
CSCD
北大核心
2021年第3期10-21,共12页
Advanced Technology of Electrical Engineering and Energy
基金
电力规划设计总院博士后科技项目(K201911-X)。
关键词
综合能源
随机场景
运行优化
源荷储协调
integrated energy system
stochastic scenario
optimal operation
coordination of source-load-storage
