Optimal Computation of AC/DC Incremental Transmission Losses Based on Adaptive Slack Bus

DOI

10.2991/aiea-16.2016.45How to use a DOI?

Keywords

AC/DC hybrid system; power flow calculation; slack bus; power network loss optimization; incremental transmission losses.

Abstract

With the development of HVDC transmission technology, AC/DC hybrid system has become an important means of regional power grid interconnection. As a prerequisite of the reliable operation of the system, it is very important to study the power flow calculation and network loss optimization problems of AC/DC hybrid systems for the economic operation of the system. This article first studies the power flow calculation of AC/DC hybrid system, and gives the calculation formula and principle of alternating iterative method. Based on the above conclusions, this article constructs the network loss optimization model of AC/DC hybrid system, and correspondingly puts forward the optimal power flow model and the optimal solution condition that is the law of equal network loss ratio. In this article, due to the redefinition to incremental transmission losses when it is analyzed, a new calculation method is proposed after deriving several commonly used algorithms and applied to the calculation process of network loss optimization. This article also designs and compiles corresponding calculation program, and verifies the correctness of proposed theory and practical method of network loss optimization of AC/DC hybrid system by practical examples.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Liu
AU  - Zhichao Liu
AU  - Ming Li
AU  - Qiujuan Shi
AU  - Ying Huang
AU  - Li Chen
PY  - 2016/11
DA  - 2016/11
TI  - Optimal Computation of AC/DC Incremental Transmission Losses Based on Adaptive Slack Bus
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 248
EP  - 257
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.45
DO  - 10.2991/aiea-16.2016.45
ID  - Liu2016/11
ER  -