Temperature-Dependent Power Flow

Frank, Stephen; Sexauer, Jason M.; Mohagheghi, Salman

doi:10.1109/tpwrs.2013.2266409

Cited by 95 publications

(58 citation statements)

References 9 publications

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“…For PLF simulations, combined cumulant and Gaussian mixture approximation method is applied. The sensitivity matrix‐based deterministic system model as required for PLF is obtained by considering the expected values of input RVs as the point of linearization using temperature‐augmented load flow (TLF) . For the given values of transmission branch MVA ratings, TLF has the convergence problem.…”

Section: Case Study and Results Comparisonmentioning

confidence: 99%

A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations

Prusty

Jena

2019

Int Trans Electr Energ Syst

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Summary The probabilistic steady‐state forecasting of a PV‐integrated power system requires a suitable forecasting model capable of accurately characterizing the uncertainties and correlations among multivariate inputs. The critical and foremost difficulties in the development of such a model include the accurate representation of the characterizing features such as complex nonstationary pattern, non‐Gaussianity, and spatial and temporal correlations. This paper aims at developing an improved high‐dimensional multivariate spatiotemporal model through enhanced preprocessing, transformation techniques, principal component analysis, and a suitable time series model that is capable of accurately modeling the trend in the variance of uncertain inputs. The proposed model is applied to the probabilistic load flow carried out on the modified Indian utility 62‐bus transmission system using temperature‐augmented system model for an operational planning study. A detailed discussion of various results has indicated the effectiveness of the proposed model in capturing the aforesaid characterizing features of uncertain inputs.

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Section: Case Study and Results Comparisonmentioning

confidence: 99%

A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations

Prusty

Jena

2019

Int Trans Electr Energ Syst

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“…Now suppose that SDG indicates sudden increase in load demand and MCU has to increase its power to accommodate load. It is also needed that exchanged power should not rise from certain limit so according to equal incremental cost principle the exchange cost incremental rate will be supposed to rise up to with corresponding MCU output power will be .So sum of changes of MCU output power will be equal to total power exchange (sent or received) to Objective function consists of four parts as shown in equation (14). First part i.e.…”

Section: Power Exchange Strategymentioning

confidence: 99%

Master control unit based power exchange strategy for interconnected microgrids

Batool

Islam

Shahnia

2017

2017 Australasian Universities Power Engineering Conference (AUPEC)

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Large remote area networks normally have self-sufficient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of economic aspect for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.

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“…The variation nature of wind speed will introduce the changing of not only the wind power generation, but also the parameters of eletronic components (e.g. the resistance and thermal ratings of the overhead lines, as these parameters are strongly related to the weather effects, such as temperature, wind speed, et al [1,2]), which would affect allocating the system load power between conventional generators and wind-powered ones. Thus, there is a great need to incorporate these effects, bringing with the wind power integration, into the traditional OPF problem.…”

Section: Kc Rmentioning

confidence: 99%

“…The variations of actual weather conditions will influence the resistances and thermal ratings of the system overhead lines and then affects the results of power flow and optimal power flow (OPF) [1,2]. For example, the resistance of the power system equipment is a strong function of temperature and the line thermal rating varies with the weather conditions, such as the wind speed and direction, ambient temperature and solar radiation.…”

Section: Kc Rmentioning

confidence: 99%

Weather-Based Optimal Power Flow With Wind Farms Integration

Cao

Wei

Wang

2016

IEEE Trans. Power Syst.

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In conventional optimal power flow (OPF), the parameters of electrol components (e.g. resistance and thermal ratings of the overhead lines) are assumed to be constant despite the fact that they are strongly sensitive to the weather effect (e.g. temperature or wind speed) which influences the accuracy of optimal power flow results. This paper introduces a weatherbased optimal power flow (WB-OPF) algorithm with wind farm integration by considering the temperature related resistance and the dynamic line rating (DLR) of overhead transmission lines. A method of calculating the current-temperature relationship of bare overhead lines, given the weather conditions, is presented as a set of coupled temperature and power flow equations. A simplified general model is proposed to calculate the dynamic line rating (DLR) for maximizing the utilization of wind power. A Primal-dual Interior Point (PDIP) method is developed to solve the WB-OPF problem and the effectiveness of the proposed method is evaluated and demonstrated in the paper by two example power systems.

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Temperature-Dependent Power Flow

Cited by 95 publications

References 9 publications

A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations

A spatiotemporal probabilistic model‐based temperature‐augmented probabilistic load flow considering PV generations

Master control unit based power exchange strategy for interconnected microgrids

Weather-Based Optimal Power Flow With Wind Farms Integration

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