An AC power flow linearization for power system optimization using linear programming

Sowa, Torsten; Stroband, Alexander; Cramer, Wilhelm; Koopmann, Simon; Schnettler, Armin

doi:10.1109/epec.2016.7771674

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The driving force behind electricity network modeling is voltage gaps, whereas thermal and gas networks are based on pressure gaps. These differences in driving forces lead to variations in modeling, with electricity networks modeled using nonlinear power flow and simplified by linearized technologies [176]. Gas network modeling is based on nonlinear compressible flow, while thermal network modeling is based on conservation equations.…”

Section: ) Integrated Network Planningmentioning

confidence: 99%

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Qiu,

Zhao,

Wen

et al. 2024

IEEE Trans. Netw. Sci. Eng.

View full text Add to dashboard Cite

This paper provides an overview of the challenges and pathways involved in achieving a low-carbon-oriented energy transition roadmap and power system planning strategy. The transition towards low-carbon energy sources is crucial in mitigating the global climate change crisis. However, this transition presents several technical, economic, and political challenges. The paper emphasizes the importance of an integrated approach to power system planning that considers the entire energy system (including both physical and information systems and market mechanisms) and not just individual technologies. To achieve this goal, the paper discusses various pathways toward low-carbon energy transition, including the integration of renewable energy sources into current energy systems, energy efficiency measures, and market-based and regulatory strategies encompassing the implementation of regulations, standards, and policies. Furthermore, the paper underscores the need for a comprehensive and coordinated approach to energy planning, taking into account the socio-economic and political dimensions of the transition process. In addition, the paper reviews the methodologies used in modeling low-carbon-oriented power system planning, including both model-based methods and advanced machine learning-assisted solutions. Overall, the paper concludes that achieving a low-carbon-oriented energy transition roadmap and power system planning strategy requires a multi-dimensional approach that considers technical, economic, political, and social factors.

show abstract

Section: ) Integrated Network Planningmentioning

confidence: 99%

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Qiu,

Zhao,

Wen

et al. 2024

IEEE Trans. Netw. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Linearizing the power flow equations around its solution [9], it describes in Equation (6) to Equation (8) that is obtained: 8) gives the sensitivity of dependent bus voltage magnitude and phase angles as a function of specified control variables, in Equation (9). u u…”

Section: Reduced Formulationmentioning

confidence: 99%

A Numerically Robust Sequential Linear Programming Algorithm for Reactive Power Optimization

et al. 2020

View full text Add to dashboard Cite

A robust sequential primal-dual linear programming formulation for reactive power optimization is developed and discussed in this paper. The algorithm has the characteristic that no approximations or complicate control logic are required in the basic Sequential Linear Programming (SLP) formulation as used by other SLP algorithms reported in the literature. Transmission loss minimization is used as the primary objective. A secondary feasibility improvement objective is used which results in better feasible solution in comparison with the loss minimization objective especially when the initial base case has over voltages. Modification in the proposed method to obtain the limited amount and limited movement of controller solution for real time application is also presented. The algorithm has been tested on Ward and Hale 6-Bus system.

show abstract

A Linear Model for AC Power Flow Analysis in Distribution Networks

Gharebaghi

Safdarian

Lehtonen

2019

IEEE Systems Journal

View full text Add to dashboard Cite

An AC power flow linearization for power system optimization using linear programming

Cited by 4 publications

References 8 publications

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

A Numerically Robust Sequential Linear Programming Algorithm for Reactive Power Optimization

A Linear Model for AC Power Flow Analysis in Distribution Networks

Contact Info

Product

Resources

About