New Perspectives on Power Control of AC Microgrid Considering Operation Cost and Efficiency

The main problem in the operation of micro-grids is controlling the voltage and frequency. The inertia of the whole grid is low, so the operation of the system is interrupted by sudden changes in load or incidence in the absence of a proper control system. In order to solve this issue, various control structures have been proposed. In this paper, an optimal distributed control strategy for coordinating multiple distributed generation instances is presented in an islanded microgrid. A secondary frequency control method is implemented in order to eliminate voltage deviation and reduce the small signal error. In this layer, an optimized PID controller is used. PID controller optimization is carried out via the Honey Badger Algorithm, and results are obtained using the MATLAB software. According to the results, inadequate adjustment of a secondary loop leads to poor and unacceptable outcomes, and the necessary power quality is not achieved. However, by using the proposed method, a proper performance of the microgrid in the face of disturbances is achieved.

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“…The Hamilton-Jacobi-Bellmen steady-state equation ( 8) has been considered for uncontrolled nonlinear dynamic systems by [23]:…”

Section: B Optimal Closed-loop Control Algorithmmentioning

confidence: 99%

“…in a nonlinear system, the zero solution is finite-time stable if there exists an open neighborhood of the origin and a function tends to zero, called the settling-time function. On the other hand, system (8) is globally under the control of control law (13), which meets the following conditions [23]:…”

Section: B Optimal Closed-loop Control Algorithmmentioning

confidence: 99%

Optimized Two-Level Control of Islanded Microgrids to Reduce Fluctuations

et al. 2022

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“…To develop the multi-objective optimization model, a normalized performance factor is defined as (4-2) [74].…”

Section: Multi-objective Optimization Modellingmentioning

confidence: 99%

“…where 𝛾𝛾1 and 𝛾𝛾2 are the Lagrange multipliers. The optimum conditions are derived as (4-6) by Lagrange Multiplier Method [74].…”

Section: Multi-objective Optimization Modellingmentioning

confidence: 99%

“…To analyze the system performance under different optimization objectives, the comprehensive performance factor Fc is defined as (4-7), and system performance improvement indexes (comprehensive performance reduction Fc_red, operation cost saving C_sav and system efficiency improvement η_imp) are defined as (4-8) [74].…”

Section: Multi-objective Optimization Modellingmentioning

confidence: 99%

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Advanced Analysis and Control Methods of Ac Microgrids for Power Sharing Performance Improvement

Wang¹

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New Perspectives on Power Control of AC Microgrid Considering Operation Cost and Efficiency

Cited by 23 publications

References 12 publications

Optimized Two-Level Control of Islanded Microgrids to Reduce Fluctuations

Optimized Two-Level Control of Islanded Microgrids to Reduce Fluctuations

Advanced Analysis and Control Methods of Ac Microgrids for Power Sharing Performance Improvement

Day-ahead economic optimization scheduling model for electricity–hydrogen collaboration market

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