Multi-objective Optimal Hybrid Power Flow Algorithm for Integrated Local Area Energy System

被引：0
|
作者：
Lin W. [1 ]
Jin X. [1 ]
Mu Y. [1 ]
Jia H. [1 ]
Xu X. [2 ]
Yu X. [1 ]
机构：
[1] Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin
[2] Institute of Energy, School of Engineering, Cardiff University, Cardiff
来源：
Jin, Xiaolong (xljin@tju.edu.cn) | 1600年 / Chinese Society for Electrical Engineering卷 / 37期
基金：
中国国家自然科学基金;
关键词：
Energy hub; Integrated local area energy system (ILAES); Multi-objective optimal hybrid power flow; Optimal day-ahead scheduling;
D O I：
10.13334/j.0258-8013.pcsee.161886
中图分类号：
学科分类号：
摘要：
A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated local area energy system (ILAES). Firstly, an energy flow analysis model for the energy center was developed based on the energy hub model. Then, a multi-objective optimal hybrid power flow algorithm was proposed to minimize the operation cost and total emission of the ILAES considering the constraints from unbalanced three-phase electric distribution network, the natural gas network and the energy centers. The proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ILAES, which considers the ILAES's multiple operation needs in aspects of security, economy and environmental friendliness. Numerical results show that the proposed algorithm can be used in the steady-state analysis of the ILAES and multi-objective optimal scheduling for the ILAES. © 2017 Chin. Soc. for Elec. Eng.
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收藏
页码：5829 / 5839
页数：10
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