Dynamic Optimal Energy Flow Calculation of Regional Integrated Energy System Based on Quality-quantity Regulation of Cooling/Heating System

被引：0
|
作者：
Liang W. [1 ,2 ]
Lin S. [1 ,2 ]
Liu M. [1 ,2 ]
Sheng X. [1 ,2 ]
Pan Y. [1 ,2 ]
机构：
[1] School of Electric Power Engineering, South China University of Technology, Guangdong Province, Guangzhou
[2] Guangdong Key Laboratory of Clean Energy Technology, Guangdong Province, Guangzhou
来源：
Dianwang Jishu/Power System Technology | 2024年 / 48卷 / 03期
基金：
中国国家自然科学基金;
关键词：
dynamic optimal energy flow; method of characteristics; partial differential equations; piecewise convex envelope relaxation; quality-quantity regulation; regional integrated energy system;
D O I：
10.13335/j.1000-3673.pst.2023.0457
中图分类号：
学科分类号：
摘要：
The optimal energy flow calculation of a regional integrated energy system (RIES) is the base for solving the problems like RIES’s equipment configuration, optimal dispatch, fault analysis, and so on. Considering the dynamic characteristics of the cooling/heating and gas pipelines, a dynamic optimal energy flow calculation model of the RIES is established. In this model, the analytical algebraic solutions of the partial differential equations (PDEs) of the cooling/heating and gas pipelines are obtained based on the method of characteristics. Aiming at the problem that the dynamic energy flow model of the RIES based on the quality-quantity regulation of the cooling/heating system is hard to solve due to the time delay variable of the pipeline energy transmission, the piecewise interpolation is proposed to obtain the approximate expression of the relationship between the two end node temperatures of the pipelines and add it to the dynamic optimal energy flow calculation model. In addition, aiming at the bilinear term when multiplying the flow rate and the temperature of the cooling/heating system in the optimization model, a piecewise convex envelope relaxation that tightens the relaxation gap is proposed to transform the mixed integer nonlinear programming model into a mixed integer quadratic constrained programming model to ensure the computational accuracy while achieving the efficient solution. Finally, case study on an RIES demonstrates the computational accuracy and efficiency of the proposed method. Compared with the commonly used quality regulation modes, the results shows that a more economic operation point of the RIES can be found under the quality-quantity regulation mode. © 2024 Power System Technology Press. All rights reserved.
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页码：1008 / 1018
页数：10
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