Voltage Support Effectiveness Assessment and Differentiated Sizing of Static Var Generators in Weak Distribution Networks with Multiple Grid-Following Wind Farms
High penetration of grid-following (GFL) wind farms can aggravate voltage recovery problems in weak distribution networks. Although static var generators (SVGs) can provide rapid reactive-power support, their planning effectiveness varies significantly with installation location and network condition. This paper proposes a planning-level framework for evaluating voltage support effectiveness (VSE) and determining differentiated SVG capacities in weak distribution networks with multiple GFL wind farms. A physics-informed VSE index is constructed from AC voltage–reactive-power sensitivity together with upstream reference SCR, fault severity, and electrical distance factors. A VSE-based recovery time surrogate is then incorporated into a bi-objective SVG siting-and-sizing model that minimizes the investment cost and estimated maximum recovery time. The framework is evaluated on the IEEE 33-bus system over 270 grid strength and fault scenarios. Discrete enumeration and non-dominated solution screening yield 38 Pareto solutions. The selected differentiated configuration installs 49.9 Mvar, 31.8 Mvar, and 50.0 Mvar at buses 3, 10, and 33, respectively, achieving an aggregated VSE of 1.757, an estimated maximum recovery time of 1.092 s, and a total investment cost of RMB 2.554 million. Among the four representative schemes, this configuration is the only one that satisfies both the VSE and recovery time requirements. The results demonstrate the importance of accounting for location-dependent voltage support effectiveness in SVG planning.
When large-scale wind power bases are connected to weak grids, post-fault transient voltage recovery becomes a critical constraint on stable system operation. This paper proposes a multiobjective sizing framework for a grid-following static var generator (SVG) in which a reduced-order RK4 transient model is embedded di...
Yang Kou, Ji Li, Ying-Li Huo et al.· Electronics· 0 citations
High penetration of distributed photovoltaic generation can cause simultaneous
overvoltage, undervoltage, and increased voltage fluctuations in distribution feeders. This
study proposes a voltage-quality-assessment-based strategy for coordinating the configuration and
operation of step voltage regulators.
An...
Wen-Jie Sun, Shu-Bao Zheng, Jin-Nian Yang et al.· Recent Advances in Electrica...· 0 citations
To reduce dependence on diesel-based power generation and associated carbon emissions, the Government of Timor-Leste has initiated the development of a 15 MWp on-grid solar photovoltaic (PV) power plant within the EDTL RAEOA operational area. While this initiative supports the national clean energy transition and risin...
Jose Alexandre Bana, Abraham Lomi, Widodo Pudji Muljanto et al.· Sinergi· 0 citations
The expansion of distributed photovoltaic generation creates technical and managerial challenges for electricity distribution utilities, particularly in medium-voltage networks exposed to low demand and high solar generation. This article presents a decision-support framework for strategic asset management, using overv...
E. Brum, A. D. dos Santos, R. Seibert et al.· Revista de Estudos Interdisc...· 0 citations
Active power loss and voltage drop remain critical in radial distribution networks with high reactive-power demand. This study determines the locations and sizes of 2 capacitor banks in the IEEE 33-bus system using a 2-objective MOPSO that minimizes active power loss and total voltage deviation. An independent verifica...
N. Rahmawati, Hermansyah Hermansyah· Jurnal Listrik, Instrumentas...· 0 citations
The incorporation of clean distributed generators (DGs) to fast-charging EV hubs presents significant operational challenges to modern distribution grids. The intermittent nature of solar and wind generation, combined with the uncertainty of EV charging demand, makes the optimal planning of these resources particular...
Mratyunjay Singh, Bindeshwar Singh, S. Singh· Engineering Research Express· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.