Assessing the Future Trends of Reactive Power Demand of Distribution Networks

Kaloudas, Christos; Ochoa, Luis F.; Marshall, Ben; Majithia, Shanti; Fletcher, Ian

doi:10.1109/tpwrs.2017.2665562

Cited by 43 publications

(25 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…TSO in Great Britain has detected a declining trend of reactive power demand under light load due to less inductive loads and higher DG penetration [120]. Hence, tap staggering in parallel step-down transformers is proposed to reduce reactive power surplus in TNs [121].…”

Section: A Motivation Of Tso and Dso Coordinationmentioning

confidence: 99%

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Sun

Guo

et al. 2019

IEEE Trans. Power Syst.

353

View full text Add to dashboard Cite

In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind and solar power, fault-induced delayed voltage recovery (FIDVR), and measurement-based Thévenin equivalent for voltage stability analysis are reviewed. For distribution grids, the impact of high penetration of distributed energy resources (DER) is analyzed, typical control strategies are reviewed, and the challenges for local inverter Volt-Var control is discussed. In addition, the motivation, state-of-art, and future directions of the coordination of transmission system operators (TSO) and distribution system operators (DSO) are also thoroughly discussed.

show abstract

Section: A Motivation Of Tso and Dso Coordinationmentioning

confidence: 99%

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Sun

Guo

et al. 2019

IEEE Trans. Power Syst.

353

View full text Add to dashboard Cite

show abstract

“…According to the scenario characteristics of two kinds of DGs [24], it can be seen that the number of scenario sets in the whole year is large and has certain similarities. Through the introduction of related scene reduction methods, this paper chooses a clustering algorithm to reduce the annual scene set.…”

Section: Improved Clustering Algorithmmentioning

confidence: 99%

“…In the upper-level planning, ADN operation strategy in fault scenario is considered, and the comprehensive safety index is introduced and converted into upper-level constraints. To minimize the amount of active power cut-off, this paper adopts the following three kinds of active management measures [24]: 1) Distributed generator output control 2) Switching of reactive power compensation 3) Adjustment of on load transformer…”

Section: Examples and Analysismentioning

confidence: 99%

A Typical Distributed Generation Scenario Reduction Method Based on an Improved Clustering Algorithm

Guo

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In recent years, distributed generation (DG) technology has developed rapidly. Renewable energy, represented by wind energy and solar energy, has been widely studied and utilized. In order to give full play to the advantages of distributed generation and to meet the challenges of DG access to the power grid, the multi-scenario analysis method commonly used in DG optimal allocation method is studied in this paper. In order to solve the problems that may arise from using large-scale scenes in the planning of DG considering uncertainties by using multi-scene analysis method, the cluster analysis method suitable for large-scale scene reduction in scene reduction method is introduced firstly, and then an improved clustering algorithm is proposed. The validity of the scene reduction method is tested, and the feasibility of the reduction method is verified. Finally, the method mentioned in this paper is compared with other commonly used methods through IEEE-33 node system.

show abstract

“…In this paper, Beta distribution in probability model is used to describe the uncertainty of illumination intensity. Its probability density function [20,21] is shown in equation 4.…”

Section: Uncertainty Model Of Wind Power Generationmentioning

confidence: 99%

Distributed Generation Planning in Active Distribution Networks Based on Multi-Scene Analysis

Lv¹,

Li²,

Guo³

et al. 2019

Preprint

View full text Add to dashboard Cite

In recent years, distributed generation technology has developed rapidly. Renewable energy, represented by wind energy and solar energy, has been widely studied and utilized. In order to give full play to the advantages of Distributed Generation (DG) and meet the challenges after power grid access, Active Distribution Network (ADN) is considered as the future development direction of traditional distribution network because of its ability of active management. Nowadays, multi-scenario analysis is widely used in the research of optimal allocation of distributed power supply in active distribution network. Aiming at the problems that may arise when using multi-scenario analysis to plan DG with uncertainties in large-scale scenarios, a scenario reduction method based on improved clustering algorithm is proposed. The validity of the scene reduction method is tested, and the feasibility of the method is verified. At present, there are few studies on the optimal allocation of DG in ADN under fault state. In this paper, comprehensive safety indicators are introduced. Considering the timing characteristics of DG and the influence of active management mode, a bi-level programming model is established, which aims at minimizing the investment of annual life cycle and the removal of active power. The bi-level model is a complex mixed integer non-linear programming model. A hybrid algorithm combining cuckoo search algorithm and primal dual interior point method is used to solve the model. Finally, through the simulation of the IEEE-33 node system, the superiority of the scenario reduction method and the comprehensive security index used in this paper to optimize the configuration of DG in ADN is verified.

show abstract

Assessing the Future Trends of Reactive Power Demand of Distribution Networks

Cited by 43 publications

References 9 publications

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

A Typical Distributed Generation Scenario Reduction Method Based on an Improved Clustering Algorithm

Distributed Generation Planning in Active Distribution Networks Based on Multi-Scene Analysis

Contact Info

Product

Resources

About