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Heuristic-Based Optimal Load Frequency Control with Offsite Backup Controllers in interconnected microgrids

Energy Engineering 2024年第12期121卷 3735-3759页

作者： Aijia Ding Tingzhang Liu School of Mechatronic Engineering and Automation Shanghai UniversityShanghai200444China

The primary factor contributing to frequency instability in microgrids is the inherent intermittency of renewable energy *** paper introduces novel dual-backup controllers utilizing advanced fractional order proportional integral derivative(FOPID)controllers to enhance frequency and tie-line power stability in microgrids amid increasing renewable energy *** improve load frequency control,the proposed controllers are applied to a two-area interconnectedmicrogrid system incorporating diverse energy sources,such as wind turbines,photovoltaic cells,diesel generators,and various storage technologies.A novelmeta-heuristic algorithm is adopted to select the optimal parameters of the proposed *** efficacy of the advanced FOPID controllers is demonstrated through comparative analyses against traditional proportional integral derivative(PID)and FOPID controllers,showcasing superior performance inmanaging *** optimization algorithm is also evaluated against other artificial intelligent methods for parameter optimization,affirming the proposed solution’s *** robustness of the intelligent controllers against system uncertainties is further validated under extensive power disturbances,proving their capability to maintain grid *** dual-controller configuration ensures redundancy,allowing them to operate as mutual backups,enhancing system *** research underlines the importance of sophisticated control strategies for future-proofing microgrid operations against the backdrop of evolving energy landscapes.

关键词： Fractional order PID interconnected microgrids load frequency control meta-heuristic algorithm parameter optimization

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Distributed energy management for interconnected operation of combined heat and power-based microgrids with demand response

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Journal of Modern Power Systems and Clean Energy 2017年第3期5卷 478-488页

作者： Nian LIU Jie WANG Lingfeng WANG State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Department of Electrical Engineering and Computer Science University of Wisconsin-MilwaukeeMilwaukeeWIUSA

From the perspective of transactive energy, the energy trading among interconnected microgrids(MGs) is promising to improve the economy and reliability of system operations. In this paper, a distributed energy management method for interconnected operations of combined heat and power(CHP)-based MGs with demand response(DR) is proposed. First, the system model of operational cost including CHP, DR, renewable distributed sources, and diesel generation is introduced, where the DR is modeled as a virtual generation unit. Second, the optimal scheduling model is decentralized as several distributed scheduling models in accordance with the number of associated MGs. Moreover, a distributed iterative algorithm based on subgradient with dynamic search direction is proposed. During the iterative process, the information exchange between neighboring MGs is limited to Lagrange multipliers and expected purchasing energy. Finally,numerical results are given for an interconnected MGs system consisting of three MGs, and the effectiveness of the proposed method is verified.

关键词： interconnected microgrids Energy management Distributed optimization Demand response Combined heat and power(CHP)

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