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What are the lumped uncertainties in power systems? 

Systems simulation
Probabilistic-based design optimization
Stochastic programming
Modeling and simulation
Uncertainty analysis
Best insight from top research papers

Lumped uncertainties in power systems encompass various sources of unpredictability, including technical, economic, and socio-economic factors. These uncertainties can arise from load forecast errors, renewable energy generation variability, electricity price fluctuations, and unexpected events like outages or disasters . To address these uncertainties, different methods have been developed, such as stochastic programming, probabilistic approaches, robust optimization, and fuzzy theory . Incorporating uncertainty management strategies in power system operations is crucial for enhancing reliability and efficiency, especially with the increasing integration of renewable energy sources like wind and solar power . By modeling and integrating these uncertainties into decision-making processes, power systems can better adapt to dynamic conditions and ensure stable operations amidst varying parameters and unforeseen events.

Answers from top 5 papers

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Papers (5)Insight
Proceedings Article•DOI
Integration of uncertainty information into power system operations
Yuri V. Makarov, Shuai Lu, Nader Samaan, Zhenyu Huang, Krishnappa Subbarao, Pavel Etingov, Jian Ma, Ryan P. Hafen, Ruisheng Diao, Ning Lu 
24 Jul 2011
21 Citations
Lumped uncertainties in power systems include forecast errors of load, wind, solar generation, uninstructed deviation of generators, forced outages, and transmission line losses, impacting system reliability and efficiency.
Book Chapter•DOI
Uncertainty Analysis in Power Systems
Jizhong Zhu, Jizhong Zhu 
16 Jan 2015
7 Citations
Lumped uncertainties in power systems include load analysis, probabilistic power flow, fuzzy power flow, economic dispatch, hydrothermal system operation, unit commitment, VAR optimization, and probabilistic optimal power flow.
Open access•Proceedings Article•DOI
Simulation of Fluid Power Systems in Consideration of Uncertainties
Andreas Rüdenauer, Phillip Thiebes 
06 Oct 2013
Lumped uncertainties in fluid power systems arise from epistemic uncertainties due to a lack of knowledge, impacting simulation accuracy and reliability, addressed through fuzzy arithmetic in modeling.
Book Chapter•DOI
Overview of uncertainties in modern power systems: uncertainty models and methods
Mohamed Ebeed, Shady H. E. Abdel Aleem 
01 Jan 2021
25 Citations
Lumped uncertainties in power systems include load demand, wind energy, photovoltaic energy, plug-in electric vehicles, electricity price, and load growth, each with distinct modeling methods and challenges.
Open access•Journal Article•DOI
Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications
Ying-Yi Hong, Gerard Francesco Dg. Apolinario 
14 Oct 2021-Energies
14 Citations
Lumped uncertainties in power systems include technical (outages, forecast errors, PEV penetration), economic (electricity prices), and techno-socio-economic factors like epidemics, pandemics, and disasters.

Related Questions

What is the relationship between uncertainties and risks?5 answersUncertainties and risks are intertwined concepts with significant implications for decision-making and outcomes. Risks, particularly in economic contexts, are probabilistic and dynamic, impacting financial activities and organizational development. Uncertainties, on the other hand, present challenges in risk analysis, decision-making, and public discourse, influencing scientific basis and societal understanding. The COVID-19 pandemic highlighted the critical role of uncertainties in shaping responses and policies, emphasizing the need for transparent discussions and informed decision-making under uncertain conditions. In decision-making scenarios like international mobility during crises, individuals weigh uncertainties against risks, with factors like resilience, symbolic capital, and labor market advantages influencing choices. Ultimately, uncertainties and risks interact to shape strategies, outcomes, and the overall landscape of decision-making processes.
What are the primary causes of power losses in power systems?5 answersThe primary causes of power losses in power systems include technical factors like conductor resistance, voltage drops, and transformer losses, as well as non-technical factors such as theft and defective equipment. Additionally, inappropriate conductor sizing, long distribution lines, low power factor, and overloading of lines contribute significantly to power losses in electrical power systems. These losses not only result in economic losses and reduced system reliability but also impact the voltage profile and overall efficiency of the distribution network. Strategies to mitigate power losses involve improving equipment and maintenance practices, combating theft and illegal connections, implementing distributed generation systems, and optimizing grid strategies through methods like real load sharing, reactive power injection, and transformer tap changing.
What are the parameters with uncertainty in power systems?5 answersParameters with uncertainty in power systems include grid parameters, process and measurement models, and physical and geometrical material parameters. Grid parameters may be uncertain due to factors such as lack of documentation, parameter variation due to weather conditions, and heating. Uncertainty in physical and geometrical material parameters can impact the radiated magnetic field and efficiency of wireless power transfer systems. Additionally, uncertainties in power system parameters such as generator inertias can be estimated using Bayesian inference methods. Other sources of uncertainty in power systems include load demand, wind energy, photovoltaic energy, plug-in electric vehicles, electricity price, and load growth. Managing and mitigating these uncertainties is crucial for the planning and operational stages of energy systems.
How can modeling uncertainty be used to optimize the performance of a virtual power plant?5 answersModeling uncertainty can be used to optimize the performance of a virtual power plant by considering the unpredictable factors that affect its operation. One approach is to use stochastic programming, which incorporates uncertainty in variables such as wind power generation, market prices, and reserve deployment requests. This allows the virtual power plant to make decisions that are robust and adaptive to changing conditions. Additionally, risk measures such as conditional value at risk can be used to represent and manage risk in the decision-making process. By accounting for uncertainty and risk, virtual power plants can optimize their use of energy resources, maximize profits, and minimize operating costs.
What are the cauases of instability in electrical power systems?5 answersThe causes of instability in electrical power systems are multifaceted. One major factor is the operation of power systems closer to critical limits, which is driven by the need for long-distance power transfers and environmental constraints on transmission network expansion. Additionally, the penetration of renewable resources, market deregulation, and access to different types of power electronic equipment under stressed conditions have imposed severe dangers on power system stability. Furthermore, the rapid increase in power demand, constrained power transmission corridors, and minimal redundancy also contribute to system instability. Any change in system parameters can affect the behavior of the nonlinear dynamical system, potentially leading to instability. Overall, these factors highlight the complexity and dynamic nature of power systems, necessitating the exploration of efficient tools for assessing and forecasting system stability.
What are the most important topics for power system research?3 answersPower system research focuses on several important topics. One of the key areas is power system planning, which involves analyzing the basic characteristics, research hotspots, and trends in power system planning. This research helps ensure the development of a safe and stable power system. Another important topic is the optimal operation of power systems, which includes power flow analysis, medium/long-term unit commitment, and optimal operation of energy storage systems. These aspects aim to optimize the operation of power systems and maximize economic benefits. Power system complexity is also a significant area of research, encompassing various aspects such as multilayer inter-relevancy, nonlinear dynamics, self-organization, and fractal dimension. Understanding power system complexity is crucial for studying its existence and evolution. Additionally, power flow and power flow calculation are essential research problems in power systems, particularly in terms of stability and economy. Overall, these topics form the core areas of research in power systems.

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