A Study on the Power Reserve of Distributed Generators Based on Power Sensitivity Analysis in a Large-Scale Power System

Kim, Dongmin; Park, Jung–Wook; Lee, Soo Hyoung

doi:10.3390/electronics10070769

Cited by 4 publications

(4 citation statements)

References 16 publications

(21 reference statements)

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“…However, large-scale power system network areas with high demand require higher power reserves. The virtual multi-slack droop control implemented in [26] selects the proper power reserve from RESs in different regions of a real Korean power system. A virtual slack bus along with the actual slack bus functions to compensate for any imbalance of load.…”

Section: Literature Reviewmentioning

confidence: 99%

Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System

Gomez

Shanmugam

2022

Energies

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Renewable energy penetration in the global energy sector is in a state of steady growth. A major criterion imposed by the regulatory boards in the wake of electronic-driven power systems is frequency regulation capability. As more rooftop PV systems are under installation, the inertia response of the power utility system is descending. The PV systems are not equipped inherently with inertial or governor control for unseen frequency deviation scenarios. In the proposed method, inertial and droop frequency control is implemented by creating the necessary power reserve by the derated operation of the PV system. While, traditionally, PV systems operate in normal MPPT mode, a derated PV system follows a flexible power point tracking (FPPT) algorithm for creating virtual energy storage. The point of operation for the FPPT of the PV is determined by using a neural network block set available in MATLAB. For the verification of the controller, it is applied to a PV array in a modified IEEE-13 bus system modeled in the MATLAB/Simulink platform. The simulation results prove that when the proposed control is applied to the test network with renewable energy penetration, there is an improved system inertia response.

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Section: Literature Reviewmentioning

confidence: 99%

Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System

Gomez

Shanmugam

2022

Energies

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“…Additionally, it requires substantial computational effort for neural network applications. Virtual multi-slack (VMS) control [24], [25] is useful to control bus voltages without hunting between multiple inverters. However, it is not feasible for multiple inverters in a single bus because the admittance matrix becomes infinite.…”

Section: B Literature Reviewmentioning

confidence: 99%

Scaled-Up Slack Generator Based on Parallel Inverters for a Reliable IFSA Microgrid

Lee

2021

IEEE Access

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It is expected that the penetration of renewable-energy-based generators will rapidly increase worldwide. These factors also lead to an increase in the portion of inverters in the power system. This paper proposes a method to scale up the slack generator size based on parallel inverters. All of the multiple parallel inverters except one share the measured power from the slack bus to the grid by a predetermined ratio based on their sizes. A single inverter that does not participate in power sharing is allocated to be in charge of clearing the small power gap caused by the control delay and the measurement error (i.e., the physical slack). As a result, the net size of the scaled-up slack generator is n times greater than that of the physical slack when n non-slack inverters are added to the physical slack inverter. The proposed method is validated based on a real island power system model in Korea using a power system computer-aided design/electromagnetic transient including DC (PSCAD/EMTDC TM ).INDEX TERMS DG acceptability, large IFSA microgrid, load sharing, parallel inverter connection, scaleup of slack generator.

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“…Virtual multi-slack (VMS) droop control is based on power sensitivity [19], [20]. VMS control can support the system voltage and phase because it causes the generator to operate as a slack generator by supplying accurately calculated real and reactive powers to the power system.…”

Section: B Literature Reviewmentioning

confidence: 99%

Power-Sensitivities-Based Indirect Voltage Control of Renewable Energy Generators With Power Constraints

2021

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Recently, renewable energy has received considerable attention worldwide due to environmental problems such as climate change. However, there are still many problems to be solved to increase the penetration level of renewable energy sources in a power system. Above all, a power system with a high renewable penetration level requires an entirely novel operational strategy and control approach to achieve reliable operation by considering the intermittency of variable renewable energy sources. This paper proposes power-sensitivities-based indirect voltage control of renewable energy generators with power constraints. The proposed method realizes seamless control of the voltage by compensating with the reactive power if the real power of the distributed generator (DG) is insufficient due to its intermittency. To achieve the proposed method, the real and reactive power references of DGs are initially operated based on the power sensitivities between generation and loads if all the DGs operate within the power constraints. However, if at least one of the DGs reaches its constraint limit, the references can be modified using other sensitivities between real and reactive power generation enabling indirect voltage control of DGs. Therefore, a high level of renewable penetration in power systems can be accomplished with the proposed method. The proposed method is verified with several case studies that are based on a microgrid with practical data from a real island power system. Verification is carried out using the power system computer aided design and electromagnetic transient including DC (PSCAD/EMTDC TM ) simulation software.INDEX TERMS Distributed generation, indirect voltage control, power sensitivity, renewable energy, variable renewable energy, voltage stability.

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A Study on the Power Reserve of Distributed Generators Based on Power Sensitivity Analysis in a Large-Scale Power System

Cited by 4 publications

References 16 publications

Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System

Flexible Power Point Tracking Using a Neural Network for Power Reserve Control in a Grid-Connected PV System

Scaled-Up Slack Generator Based on Parallel Inverters for a Reliable IFSA Microgrid

Power-Sensitivities-Based Indirect Voltage Control of Renewable Energy Generators With Power Constraints

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