Optimal Computation of AC/DC Incremental Transmission Losses Based on Adaptive Slack Bus
- 10.2991/aiea-16.2016.45How to use a DOI?
- AC/DC hybrid system; power flow calculation; slack bus; power network loss optimization; incremental transmission losses.
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.
- © 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/).
Cite this article
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 -