基于灵敏度指标的负荷优化及FACTS设备在池电和混合电市场模型中的影响

Satish Kumar, Ashwani Kumar, Nikhlesh Sharma, Y. Singh
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引用次数: 2

摘要

拥塞管理过程对于电力系统的良好规划和成功运行至关重要。由于负荷的增加,必须对系统的潮流进行计算,以保证系统的稳定和安全。本文通过最小化和优化负载来实现拥塞管理。使用FACTS设备还包括为拥塞管理的最佳功率流。采用最优潮流法,实现了基于节点价格的灵敏度指标的经济负荷调度。在PSAT上对ieee24rts进行仿真,进行性能分析和评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity index based load optimization and impact of FACTS devices in pool and hybrid electricity market model
Congestion management process is very crucial and important for better planning and successful operation of electrical power system. Due to increase in load, power flow for the system must be calculated to ensure system stability and security. In this paper Congestion management is implemented by minimization and optimization of loads. Use of FACTS devices is also included for optimal power flow for congestion management. Nodal price based sensitivity index is also implemented for economic load dispatch using optimal power flow method. IEEE 24 RTS is simulated on PSAT for performance analysis and evaluation.
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