Evaluating the effects of demand response programs on distribution cables life expectancy

Dehghani, Hesam; Vahidi, Behrooz

doi:10.1016/j.epsr.2022.108710

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…Therefore, the proposed indices are evaluated and prioritized using the analytical hierarchy process (AHP) method and expert selection. [38][39][40] Two indices are used to make decision: the total cost of all power plants (TCP) and the total payment of all customers (TPC). TCP and TPC can be described as follows…”

Section: Problem Formulationmentioning

confidence: 99%

“…Therefore, the proposed indices are evaluated and prioritized using the analytical hierarchy process (AHP) method and expert selection. [ 38–40 ] Two indices are used to make decision: the total cost of all power plants (TCP) and the total payment of all customers (TPC). TCP and TPC can be described as follows

\text{TCP} = \sum_{i = 1}^{\text{ng}} C_{i} + \Delta C_{\text{wind}} + \Delta C_{\text{s}}

\text{TPC} = \sum_{j = 1}^{m} \left(\text{Payment}\right)_{j} + \Delta C_{\text{Customer}}

…”

Section: Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Simultaneous Network Reconfiguration and Wind Power Plants Participation in Day‐Ahead Electricity Market Considering Uncertainties

Naghizadeh Kouchesfahani,

Mohtavipour,

Mojallali

2023

Energy Tech

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Recently, the participation of wind sources in electricity markets has become a severe challenge due to their intermittent nature. Reconfiguration of power systems can effectively reduce the negative effects of uncertainties. So, this article presents a new method for participating in wind power plants and uncertain customers in a day‐ahead electricity market considering the reconfiguration process. This method tries to maximize social welfare through a two‐level optimization problem. To this end, uncertainties are modeled using the empirical cumulative distribution function and the Monte–Carlo method, and a probabilistic analysis of the market is performed. Then, by defining some indices to evaluate the participants’ satisfaction and using the analytic hierarchy process method (AHP), a new objective function is proposed so that its minimization leads to planning the system configuration and market participants to optimize mentioned indices. The proposed methodology also assumes that the participation of uncertain participants in the spot market will eliminate the imbalances caused by uncertainties. The simulations are implemented using real data on an 8‐bus sample network. The results confirm the efficiency of the proposed method in significantly reducing power producers’ and customers’ costs along with increasing total income and profit from the sale of energy.

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Section: Problem Formulationmentioning

confidence: 99%

\text{TCP} = \sum_{i = 1}^{\text{ng}} C_{i} + \Delta C_{\text{wind}} + \Delta C_{\text{s}}

\text{TPC} = \sum_{j = 1}^{m} \left(\text{Payment}\right)_{j} + \Delta C_{\text{Customer}}

…”

Section: Problem Formulationmentioning

confidence: 99%

Simultaneous Network Reconfiguration and Wind Power Plants Participation in Day‐Ahead Electricity Market Considering Uncertainties

Naghizadeh Kouchesfahani,

Mohtavipour,

Mojallali

2023

Energy Tech

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“…Asset management has become more important in power systems in recent years as a result of reliability and economic issues [1], [2]. Considering the importance of power transformers in the power networks, transformer life management is very important [3]- [7].…”

Section: Introductionmentioning

confidence: 99%

Online Estimation of Transformer Hot Spot Temperature by Considering the Effects of Load Profile Modeling

Moosavi,

Mokhtari

2023

Scientia Iranica

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One of the most valuable components in power systems is power transformer whose failure may result in a significant power loss. Therefore, one of the critical issues in power transformer operation is its health monitoring. Moreover, it was shown that the aging rate of transformers is very sensitive to the hot spot temperature, and when this temperature exceeds a threshold value, the aging rate increases. Given the fact that using temperature sensors in prefabricated and built-in transformers is not practical, thermal models are used to estimate transformer hot spot temperature. Since the transformer hot spot temperature is a key factor in the condition monitoring of a transformer, and in case it will exceed a threshold value, preventive actions should be taken in the proposed algorithm, the sensitivity of this important parameter with respect to the load profile sampling time is investigated. This paper proposes a fast online algorithm for the estimation of power transformer hot spot temperature by reducing the number of calculations without sacrificing accuracy. The proposed algorithm is applied to a 250 MVA transformer using MATLAB software. The results were compared with the actual factory test results and the efficiency of the proposed algorithm was shown.

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Optimal implementation of consumer demand response program with consideration of uncertain generation in a microgrid

Alikhani,

Moghaddam,

Moazzen

et al. 2023

Electric Power Systems Research

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Evaluating the effects of demand response programs on distribution cables life expectancy

Cited by 8 publications

References 29 publications

Simultaneous Network Reconfiguration and Wind Power Plants Participation in Day‐Ahead Electricity Market Considering Uncertainties

Simultaneous Network Reconfiguration and Wind Power Plants Participation in Day‐Ahead Electricity Market Considering Uncertainties

Online Estimation of Transformer Hot Spot Temperature by Considering the Effects of Load Profile Modeling

Optimal implementation of consumer demand response program with consideration of uncertain generation in a microgrid

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