Optimisation of MG operation considering effects of power electronic converters

Ebrahimi, Amir; Fathi, S. H.

doi:10.1049/iet-rpg.2018.5605

Cited by 2 publications

(3 citation statements)

References 38 publications

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“…r mf is the cartesian distance between female and male mayflies. r mf was calculated by using equation (3).…”

Section: ) Movement Of Female Mayflymentioning

confidence: 99%

“…With the rapid development of the economy and technology, a large number of optimization problems have appeared in scientific research and actual industrial production, such as the transportation field [1], [2], the power field [3], [4], the material field [5], [6], the communication field [7], [8], the mechanical field [9], [10] and e-commerce field [11], [12], and etc. These problems are usually inferior in nature, that is, non-differentiable, non-linear, etc.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Guo

Yu³

et al. 2022

IEEE Access

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Mayfly algorithm is a new intelligent optimization algorithm with unique optimization capabilities recently proposed. It has strong research value, but there are also insufficient explorations, and it is easy to fall into the problem of local optimization. This paper aims to improve the optimization performance of the mayfly algorithm and explore its application value in practical engineering optimization problems. An improved mayfly algorithm based on the median position of the group is proposed. In its velocity update, the median position of the group is introduced with emphasis, and a non-linear gravity coefficient is introduced at the same time. Through the benchmark test function, its superiority in exploitation, convergence speed and accuracy and the improvement of exploration are verified. At the same time, the simulation model of the hydro-turbine governor using MATLAB/Simulink is established, and 10% frequency disturbance experiments of this model are carried out separately in two typical working conditions. The experiments results show that the optimal ITAE index value of the system obtained by the improved mayfly algorithm is smaller, and 16.5 and 18.1 iterations to complete on average. In addition, the experiments results reveal that the PID parameters optimized by the improved mayfly algorithm can make the dynamic performance of the regulation system better than other popular swarm intelligence algorithms, where the overshoot decreased by more than 3.1%, and the adjustment time also decreased in different degrees. The proposal of the median position of the group provides a new idea for the improvement of the swarm intelligence optimization algorithm. Meanwhile, a new effective method for optimizing the PID parameters of the hydro-turbine governor has been found.

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“…r mf is the cartesian distance between female and male mayflies. r mf was calculated by using equation (3).…”

Section: ) Movement Of Female Mayflymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Guo

Yu³

et al. 2022

IEEE Access

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“…Modern societies are moving toward the use of renewable energy sources [6]. These sources are connected to the grid with power electronic based interfaces [7][8][9]; however, the high penetration of renewable energy sources may impose challenges to critical frequency stability. Generally, renewable energy resources have little or no inertial response.…”

Section: Introductionmentioning

confidence: 99%

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

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Due to the high penetration of renewable energy resources in microgrids (MGs), the grid inertia becomes low which leads to the grid to be vulnerable to large disturbances. The energy storage devices can play an important role to enhance the inertia of MGs. However, due to the high investment cost of storages or their dp/dt limitation, the installed energy storages cannot cover the challenge of high df/dt. A prominent solution to solve the problem is to use the inertia response of the wind generators. However, relatively high second frequency nadir is the main drawback of using the inertia response of the wind generators which may impose an extensive disturbance to MGs. Accordingly, a coordinated operation strategy for MGs between wind generator and hybrid energy storage (HES) system is proposed in this paper. In addition, to improve the inertia response of the MG; providing high-quality communication infrastructures with low delay and increasing the Ultracapacitor capacity have been paid attention. In this paper, the costs of the installed Ultracapacitor and quality of communication services are defined as the operation cost. Guaranteeing enough frequency damping for the MG with low operation cost are two conflict objectives. Therefore, a multi-objective optimization method is used to set the controllers' values and reduce the operation cost. The results confirmed that the effectiveness of the proposed strategy to control hybrid power storage in coordination with the wind generator and the frequency recovery process is improved. Also, employing the optimum values guaranteed the frequency damping effectively with low operation cost. The Integral Absolute Error (IAE) value and operation cost are reduced by 13.6% and 32%, respectively. Also, the simulation results show that the maximum MG frequency deviation and maximum df/dt is well compatible with different standards in the presence of load perturbations and different wind speeds.INDEX TERMS Microgrid (MG), Frequency control, Wind generator, Hybrid energy storage (HES), Ultra-capacitor, Inertia response, Multi-objective optimization.

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Optimisation of MG operation considering effects of power electronic converters

Cited by 2 publications

References 38 publications

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

An Improved Mayfly Optimization Algorithm Based on Median Position and Its Application in the Optimization of PID Parameters of Hydro-Turbine Governor

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

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