Optimal Reactive Power Control of Inverter-based Distributed Generator for Voltage Stability Insight using Particle Swarm Optimization

Salim, Norhafiz; Tsuji, Takeshi; Oyama, Tsutomu; Uchida, Kenko

doi:10.1541/ieejpes.137.392

Cited by 2 publications

(3 citation statements)

References 37 publications

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“…weight can be used at the beginning of the algorithm operation, and a smaller weight can be used later. The specific calculation formula of inertia weight is shown in formula (5) [19]:…”

Section: Binary Discrete Particle Swarm Optimizationmentioning

confidence: 99%

“…Moreover, Japan hoped to use the technological innovation in this field, combined with the construction of actual projects, to ease the pressure on domestic energy supply. Driven by the government, Japan has carried out extensive research on integrated energy systems from different aspects (such as smart community and intelligent micro-network research conducted by NEDO, and comprehensive energy network research by Tokyo Gas [5].…”

Section: Introductionmentioning

confidence: 99%

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Particle swarm optimization in image processing of power flow learning distribution

Huang

2021

Discov Internet Things

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In order to realize the coordination and integration optimization of the power system itself, this paper constructed the mathematical model of the hybrid power system and solved the multi-objective optimization problem of the heating system through the optimized particle swarm optimization algorithm. Based on the back-to-back VSC-HVDC grid-connected composite system, this paper studied the integrated control strategy of the device to achieve the simultaneous parallel and tie line currents. At the same time, this paper simplified and improved the proposed disassembly criteria for grid-connected composite devices and integrated them into the grid-connected composite device. In addition, on this basis, the integrated control of the three functions of de-listing, juxtaposition and tie line power adjustment of the same device was further studied. Simulation studies show that the proposed algorithm has certain effects and can provide theoretical reference for subsequent related research.

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“…weight can be used at the beginning of the algorithm operation, and a smaller weight can be used later. The specific calculation formula of inertia weight is shown in formula (5) [19]:…”

Section: Binary Discrete Particle Swarm Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization in image processing of power flow learning distribution

Huang

2021

Discov Internet Things

View full text Add to dashboard Cite

show abstract

“…In [12], sensitivity based voltage regulation of medium voltage (MV) distribution network by controlling reactive power is proposed. Optimal reactive power control for voltage regulation of MV distribution system without 978-1-6654-4875-8/21/$31.00 ©2021 IEEE considering the complex nature of nodal voltages is presented in [13], [14]. In [15], a probabilistic voltage sensitivity based analysis is performed, however it does not take into account the fairness among prosumers.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Fairness based Coordinated Grid Voltage Control Methods for PV Inverters

Vadavathi¹,

Hoogsteen²,

Hurink³

2021

2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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Active power curtailment is a cost-effective technique for mitigating overvoltage issues as a consequence of distributed generation. However, many solutions treat prosumers at highly sensitive parts of the grid unfairly. The best solution to this problem is to explore the non-linear behavior between active power and voltage to find the fair amount of power that needs to be curtailed to satisfy grid codes. Current state-of-the-art techniques for power curtailment are computationally expensive and case-specific. In this work, a fair value for power curtailment is achieved analytically that is both computationally efficient and generic. The results obtained analytically are validated utilizing an iterative algorithm, which provides a near optimal value for fair power curtailment. The results demonstrate that for singlephase and balanced three-phase networks, analytical and iterative methods have similar control actions and there is a 50% increase in distributed generation infeed at sensitive parts of the grid.

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Optimal Reactive Power Control of Inverter-based Distributed Generator for Voltage Stability Insight using Particle Swarm Optimization

Cited by 2 publications

References 37 publications

Particle swarm optimization in image processing of power flow learning distribution

Particle swarm optimization in image processing of power flow learning distribution

Comparison of Fairness based Coordinated Grid Voltage Control Methods for PV Inverters

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