Droop Control Strategy of Utility-Scale Photovoltaic Systems Using Adaptive Dead Band

Abstract

This paper proposes a novel droop control strategy for addressing the voltage problem against disturbance in a transmission system connected with a utility-scale photovoltaic. Typically, a voltage control at the renewable energy sources (RESs) connected to the transmission grid uses a reactive power–voltage control scheme with a fixed dead band. However, this may cause some problems; thus, this paper proposes a method for setting a dead band value that varies with time. Here, a method for calculating an appropriate dead band that satisfies the voltage maintenance standard for two disturbances is described using voltage sensitivity analysis and the equation of existing droop control. Simulation studies are conducted using the PSS® E program to analyze the short term voltage stability and display the results for various dead bands. The proposed modeling and operational strategy are validated in simulation using a modified IEEE 39 bus system. The results provide useful information, indicating that the control scheme through an adaptive dead band enables more stable system operation than that through a fixed dead band.

Real-time Volt-Var control of grid forming converters in DER-enriched distribution network

“…There are various approaches for controlling the reactive power in the scientific literature (Ku et al, 2015;Ghosh et al, 2016;Mahmud and Zahedi, 2016;Molina-García et al, 2016;Zhang et al, 2017;Kim et al, 2020;Li et al, 2020;Ceylan et al, 2021;Wagle et al, 2021). In most studies, reactive power control is achieved in centralised, distributed, and decentralised forms.…”

Pengembangan Pengontrol Tegangan Sistem Mikrogrid Cerdas Menggunakan Sistem Baterai Penyimpan Energi

“…Metode kontrol primer yang saat ini diimplementasikan pada inverter baterai komersial adalah metode kontrol droop [14]- [17]. Untuk mengoptimalkan pengontrol dengan metode droop perlu ditentukan nilai koefisien droop yang sesuai.…”

“…Untuk mengoptimalkan pengontrol dengan metode droop perlu ditentukan nilai koefisien droop yang sesuai. Pada penelitian ini nilai koefisien tersebut ditentukan dengan menambahkan dead band pada tegangan nominal [15], [17], [18]. Keterkaitan penelitian ini dengan beberapa penelitian tentang kontrol primer menggunakan metode kontrol droop dapat dilihat pada Tabel 1.…”

Renewable Energy Systems 2020

“…The obtained results confirm the current highlights of other similar studies, i.e., that the storages for self-consumption only are not profitable until the average price of energy storage devices becomes lower than 256 €/kWh (including the inverter price). Kim et al [7] propose a novel droop control strategy for setting a dead band value that varies with time in order to address the voltage problem against disturbance in a transmission system connected with a utility-scale PV system. Simulation results showed that an adaptative dead band, rather than a fixed one, is able to perform a flexible system operation against disturbance.…”

“…Considering this background, the studies collected in this Special Issue cover the following topics: (i) the analysis of plants based on photovoltaic (PV) panels and battery energy storages, investigating the use of electric vehicles [3], the coupling of these systems with a single hydropower plant for renewable energy communities [4], the assessment of the impacts of these plants on the effectiveness of electric distribution grids [5], their economic evaluation in residential applications for islands not electrically connected to the mainland [6], and the development of novel control strategies to address voltage disturbance in transmission systems connected with PV systems [7]; (ii) the economic analysis of a novel floating offshore wind structure, built with concrete [8]; (iii) the power to synthetic natural gas (PtSNG) plants to store intermittent renewable sources [9]; (iv) a low-cost secured distributed Internet of Things (IoT) system for monitoring and controlling appliances/devices connected in a polygeneration microgrid supplied by renewable technologies [10] as well as the optimization of both independent energy systems, ensured by the integration of the thermal/electric energy systems and renewable energy systems [11], and of building energy consumption by means load forecasting methodologies [12].…”