Yang, D.; Zhao, K.; Tian, H.; Liu, Y. Decision Optimization for Power Grid Operating Conditions with High- and Low-Voltage Parallel Loops. Appl. Sci.2017, 7, 487.
Yang, D.; Zhao, K.; Tian, H.; Liu, Y. Decision Optimization for Power Grid Operating Conditions with High- and Low-Voltage Parallel Loops. Appl. Sci. 2017, 7, 487.
Yang, D.; Zhao, K.; Tian, H.; Liu, Y. Decision Optimization for Power Grid Operating Conditions with High- and Low-Voltage Parallel Loops. Appl. Sci.2017, 7, 487.
Yang, D.; Zhao, K.; Tian, H.; Liu, Y. Decision Optimization for Power Grid Operating Conditions with High- and Low-Voltage Parallel Loops. Appl. Sci. 2017, 7, 487.
Abstract
With the development of higher voltage power grid, the high and low voltage parallel loops are emerging, which lead to energy losses, even threaten the security and stability of power system. The multi-infeed HVDC configurations widely appearing in AC/DC interconnected power system make this situation even worse. Aimed at energy saving and system security, a decision optimization method for power grid operating condition with high and low voltage parallel loops is proposed in this paper. Firstly, considering hub substation distribution and power grid structure, parallel loop opening schemes are generated with GN algorithm. Then, candidate opening schemes are preliminarily selected from all these generated schemes based on a filtering index. Finally, with the influence on power system security, stability and operation economy in consideration, an evaluation model for candidate opening schemes is founded based on analytic hierarchy process (AHP). And a fuzzy evaluation algorithm is used to find the optimal scheme. Simulation results of New England 39-bus system and an actual power system validate the effectiveness and superiority of this proposed method.
Keywords
parallel loop; line switching; complex network theory; GN algorithm; comprehensive evaluation model
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
