Optimal Settings of Fast Active Power Controller: Nordic Case

Acosta, Martha N.; González-Longatt, Francisco; Denysiuk, Serhii; Strelkova, H.

doi:10.1109/ess50319.2020.9160281

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…The main interest is the performance of the voltage control mechanism in the quasi-dynamic voltage profile of the regional TSO-DO power networks in the South-Eastern part of Norway. The equivalent TSO consists of a detailed high-level representation of the regional 132-kV system, Telemark and Vestfold area [11], [30]. The DSO network is created [11] in order to represent the main feature of the 11 kV distribution system.…”

Section: Modelling and Simulation Descriptionmentioning

confidence: 99%

Performance Assessment of TSO–DSO using Volt-Var Control at Smart-Inverters

Astapov

Trashchenkov

González-Longatt

et al. 2022

Int. j. electr. comput. eng. syst. (Online)

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The massive penetration of distributed energy resources (DERs) in distribution networks provides a strategic opportunity for the distribution system operator (DSO) to coordinate the assets appropriately and offer services to the transmission systems. The IEEE std. 1547-2018 introduced a control mechanism to enable the power electronic converters (PECs) to offer several services, including voltage regulation by controlling the reactive power injection/absorption; this type of PECs is also known as "smart inverter". The participation of the smart-inverters in the voltage regulation with a novel customer-centred piece of legislation and markets provide the DSO with powerful tools to enforce very positive TSO/DSO interactions. This research paper presents a comprehensive assessment of the steady-state performance provided by voltage control at the smart-inverters to the TSO – DSO system. The assessment includes analysing main indicators using time series considering short term (24-hours, 1-minute resolution) and long-term (one-year) horizon. In this paper, the three leading indicators are used as criteria for the assessment: total energy losses voltage profile in the TSO-DSO system and the power flow interaction at the interface between the systems. The assessment is based on numerical results using the DIgSILENT PowerFactory simulation tool, where the voltage controllers have been implemented, and regional electrical system in south-eastern Norway, the area of Vestfold and Telemark as been used for illustrative purposes

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Section: Modelling and Simulation Descriptionmentioning

confidence: 99%

Performance Assessment of TSO–DSO using Volt-Var Control at Smart-Inverters

Astapov

Trashchenkov

González-Longatt

et al. 2022

Int. j. electr. comput. eng. syst. (Online)

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“…However, the operative limits of the synchronous generators and the fact the reactive power control must be locally made to avoid significant energy losses and affect the voltage profile led to introduce dedicated devices to provide reactive power regulation. These devices include synchronous condensers, mechanically switched shunt capacitors/reactors, flexible AC transmission system devices (e.g., thyristor-controlled series capacitor and static VAR compensator), phase-shifting transformers, and transformers equipped with on-load tap changer (OLTC) [2,12]. Although these devices demonstrate effective reactive power injection/absorption when needed and maintain the voltage within its operational limits, the cost of its implementation can result economically ineffective [13].…”

Section: Reactive Power Control Mechanisms At Smart Invertersmentioning

confidence: 99%

Assessment of Daily Cost of Reactive Power Procurement by Smart Inverters

et al. 2021

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The reactive power control mechanisms at the smart inverters will affect the voltage profile, active power losses and the cost of reactive power procurement in a different way. Therefore, this paper presents an assessment of the cost–benefit relationship obtained by enabling nine different reactive power control mechanisms at the smart inverters. The first eight reactive power control mechanisms are available in the literature and include the IEEE 1547−2018 standard requirements. The ninth control mechanism is an optimum reactive power control proposed in this paper. It is formulated to minimise the active power losses of the network and ensure the bus voltages and the reactive power of the smart inverter are within their allowable limits. The Vestfold and Telemark distribution network was implemented in DIgSILENT PowerFactory and used to evaluate the reactive power control mechanisms. The reactive power prices were taken from the default payment rate document of the National Grid. Simulation results demonstrate that the optimal reactive power control mechanism provides the best cost–benefit for the daily steady-state operation of the network.

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“…Nowadays, power system (PS) frequency and rate of change frequency (RoCoF) are growingly essential concepts for load management, protection and system control [1]. Ideally, it is desired to have error-free and noise data that is available with minimal delay [2]. This is not the case in real PS, because the frequency and RoCoF measurement are sensitive to noise and disturbances in the electrical system.…”

Section: Introductionmentioning

confidence: 99%

RoCoF Calculation Using Low-Cost Hardware in the Loop: Multi-area Nordic Power System

Barrios-Gomez

Sanchez

Claudio

et al. 2020

2020 International Conference on Smart Systems and Technologies (SST)

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This research paper presents a rate of change of frequency (RoCoF) implementation using low-cost hardware in the loop (HIL) with application to Nordic Power System (NPS). Two methods to calculate the RoCoF are presented: Incremental difference one step and Moving window (MW) or rolling window. HIL) approach is used to obtain natural noise found in the frequency signal obtained from real power devices. The low-cost HIL implementation is based on two Arduinos ® in the loop. An Arduino ® working as standalone is used to generate an analogue signal representative of one area of the NPS, a second Arduino ® in the loop contains the RoCoF calculation methods and filters. As the noise is essential affecting the RoCoF calculation, this paper analyses the effect of including lowpass filters (LPFs). Three cases are analysed: Base Case: no filter and noise signal, Case I: LPF applied to the input frequency signal, Case II: LPF at the frequency signal and LFP at the output of the RoCoF (smoothing). Results demonstrate that RoCoF calculation methods worked correctly in the HIL and using two LPFs clean the signal from the noise produced by the Arduino ® .

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Optimal Settings of Fast Active Power Controller: Nordic Case

Cited by 9 publications

References 13 publications

Performance Assessment of TSO–DSO using Volt-Var Control at Smart-Inverters

Performance Assessment of TSO–DSO using Volt-Var Control at Smart-Inverters

Assessment of Daily Cost of Reactive Power Procurement by Smart Inverters

RoCoF Calculation Using Low-Cost Hardware in the Loop: Multi-area Nordic Power System

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