Load Frequency Control of Multi-Area Power System with Integration of SMES and Plug-In Electric Vehicles

Ch. Naga Sai Kalian, M. Bajaj, S. Kamel, F. Jurado
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引用次数: 5

Abstract

In this paper, fractional order PID (FOPID) optimized with seagull optimization algorithm (SOA) is designed as a secondary regulator for load frequency control (LFC) of the interconnected power system (IPS). However, the efficacy of FOPID is showcased with other integral order type classical controllers. IPS deliberated in this work is a widely used model of dual area hydro-thermal (DAHT) upon laying 10% perturbation of step load on area-1 (10%SLP) for investigation. Further, plug-in-electric vehicles (PEVs) are integrated into area-1 of DAHT for analysis purposes. DAHT responses are enhanced with the integration of PEVs. Later, the control areas of DAHT are incorporated with superconducting magnetic energy storage (SMES) devices to get further enhancement in system stability. Finally, simulation results reveal the superiority of implementing PEVs and SMES coordinated strategies for improvement in frequency regulation.
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中小企业与插电式电动汽车集成的多区域电力系统负荷频率控制
本文设计了基于海鸥优化算法(SOA)优化的分数阶PID (FOPID)作为互联电力系统负载频率控制(LFC)的二次调节器。然而,FOPID的有效性在其他积分阶型经典控制器中得到了体现。本文考虑的IPS模型是在1区施加10%阶跃载荷扰动(10% slp)的情况下广泛应用的双区水热(DAHT)模型。此外,插入式电动汽车(pev)被整合到DAHT的区域1中以进行分析。pev的集成增强了DAHT响应。随后,在DAHT控制区域加入超导磁储能(SMES)器件,进一步提高系统稳定性。最后,仿真结果揭示了采用pev和SMES协同策略改善频率调节的优越性。
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