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Congestion Management using Firefly Algorithm for IEEE-30 Bus system

机译:使用IEEE-30总线系统使用Firefly算法的拥塞管理

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In competitive electricity market, congestion is a serious economic and reliability concern. Congestion is a common problem that an independent system operator faces in open access electricity market. This project presents a reliable and efficient meta-heuristic based approach to solve congestion problem. The proposed approach of the present work employs Firefly algorithm (FFA) for alleviation of transmission network congestion in a pool based electricity market via active power rescheduling of generators. FFA is a new meta-heuristic approach based on flashing patterns and behaviour of fireflies. Various important security constraints such as load bus voltage and line loading have been taken into account while dealing with congestion problem. The proposed methodology may help in removing the congestion of line with minimum rescheduling cost. The numerical results of modified IEEE 30-bus test power systems are illustrated.
机译:在竞争力的电力市场中,拥堵是一个严重的经济和可靠性问题。拥塞是一个常见的问题,即独立系统操作员面临开放式接入电力市场。该项目介绍了求解拥堵问题的可靠和高效的荟萃启发式方法。本工作的建议方法采用萤火虫算法(FFA),以通过发电机的有效功率重新安排在基于池的电力市场中减轻传输网络拥塞。 FFA是一种基于闪烁模式和萤火虫行为的新的荟萃启发式方法。在处理拥塞问题的同时,已经考虑了各种重要的安全限制,例如负载总线电压和线路装载。所提出的方法可能有助于消除线条的拥塞,以最小的重新安排成本。示出了改进的IEEE 30总线测试电力系统的数值结果。

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