A Fast AC Power Flow Model Based Distribution Voltage Regulation

Author(s):  
Sultan Hakmi ◽  
Visvakumar Aravinthan
2011 ◽  
pp. 291-317
Author(s):  
Shengwei Mei ◽  
Xuemin Zhang ◽  
Ming Cao
Keyword(s):  

2010 ◽  
Vol 34-35 ◽  
pp. 785-789
Author(s):  
Qing Ran Wang ◽  
Li Zi Zhang

In order to adapt to the current multi-level dispatching management system and to promote the operational efficiency of interconnected electricity networks, this paper proposes a decomposition collaborative model based on optimal power flow theory. The model is a quadratic programming question used to solve optimal power flow model. The information of interchanging between regions is communication price and boundary nodal bus phase angle. IEEE 30-bus test system demonstrates the validity and novelty of the model that the regional network can be calculated reasonably and the development of cross-regional electricity transaction is promoted effectively.


Author(s):  
Karl-Kiên Cao ◽  
Thomas Pregger ◽  
Jannik Haas ◽  
Hendrik Lens

Future energy supply systems must become more flexible than they are today to accommodate the significant contributions expected from intermittent renewable power sources. Although numerous studies on planning flexibility options have emerged over the last few years, the uncertainties related to model-based studies have left the literature lacking a proper understanding of the investment strategy needed to ensure robust power grid expansion. To address this issue, we focus herein on two important aspects of these uncertainties: the first is the relevance of various social preferences for the use of certain technologies, and the second is how the available approaches affect the flexibility options for power transmission in energy system models. To address these uncertainties, we analyze a host of scenarios. We use an energy system optimization model to plan the transition of Europe’s energy system. In addition to interacting with the heating and transport sectors, the model integrates power flows in three different ways: as a transport model, as a direct current power flow model, and as a linearized alternating current power flow model based on profiles of power transfer distribution factors. The results show that deploying transmission systems contribute significantly to system adequacy. If investments in new power transmission infrastructure are restricted—for example, because of social opposition—additional power generation and storage technologies are an alternative option to reach the necessary level of adequacy at 2% greater system costs. The share of power transmission in total system costs remains widely stable around 1.5%, even if cost assumptions or the approaches for modeling power flows are varied. Thus, the results indicate the importance of promoting investments in infrastructure projects that support pan-European power transmission. However, a wide range of possibilities exists to put this strategy into practice.


Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3308
Author(s):  
Xingpeng Li

Though the full AC power flow model can accurately represent the physical power system, the use of this model is limited in practice due to the computational complexity associated with its non-linear and non-convexity characteristics. For instance, the AC power flow model is not incorporated in the unit commitment model for practical power systems. Instead, an alternative linearized DC power flow model is widely used in today’s power system operational and planning tools. However, DC power flow model will be useless when reactive power and voltage magnitude are of concern. Therefore, a linearized AC (LAC) power flow model is needed to address this issue. This paper first introduces a traditional LAC model and then proposes an enhanced data-driven linearized AC (DLAC) model using the regression analysis technique. Numerical simulations conducted on the Tennessee Valley Authority (TVA) system demonstrate the performance and effectiveness of the proposed DLAC model.


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