Fast Dispatch Method for Integrated Energy System Based on Time Clustering Algorithm

Hongyang Zhao, Qiang Zhou, Ji Wu, Zhicheng Ma, Jinping Zhang, Xiuli Wang
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Abstract

Power distribution system and water distribution system, which are usually operate independently in tradition, are both important infrastructure in modern society. Under the background of renewable energy penetration increasing and energy conservation becoming social concerns, the joint operation of power distribution system and water distribution system could reduce the overall operation cost, improve social welfare and improve the flexibility of system operation. In this paper, we model the power distribution system and water distribution system, and simplify this model based on piecewise linear method. Then we obtain the model of power-water distribution system, which is a mixed integer linear programming problem. While the joint system is complex and the time spent on solving problem is too long for engineering application. Thus, in this paper, we propose an adaptive time clustering method based on the characteristic of the net load curve of power and water. We use an iterative algorithm to decide whether two adjacent time clusters could be merged into one in the joint operation problem. The case studies that the joint day-ahead operation problem, which proves that the model and method proposed in this paper could reduce the solution time while maintain high precision. It could meet the requirement of engineering application.
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基于时间聚类算法的综合能源系统快速调度方法
配电系统和供水系统是现代社会重要的基础设施,在传统上通常是独立运行的。在可再生能源普及率不断提高、节能成为社会关注的大背景下,配电网和供水电网联合运行可以降低总体运行成本,提高社会福利,提高系统运行的灵活性。本文建立了配电系统和供水系统的模型,并采用分段线性方法对模型进行了简化。在此基础上,建立了水电分配系统的模型,该模型是一个混合整数线性规划问题。而节理系统较为复杂,求解时间较长,不利于工程应用。因此,本文提出了一种基于水电净负荷曲线特征的自适应时间聚类方法。在联合操作问题中,我们使用迭代算法来决定两个相邻的时间簇是否可以合并为一个。通过对联合日前运行问题的实例研究,证明了所提出的模型和方法能够在保持较高精度的同时减少求解时间。能够满足工程应用的要求。
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