The application of simple thermal models to improve dynamic load models

Christy, C.; Zhu, Yongli

doi:10.1109/epecs.2013.6713057

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Some models for the impact of temperature have been offered. These models require historical data from past 10 to 30 years . Access to this data is very difficult, especially in developing countries.…”

Section: Modeling Of the Retailer's Capacity Productmentioning

confidence: 99%

“…These models require historical data from past 10 to 30 years. 52,53 Access to this data is very difficult, especially in developing countries. The model that is proposed here has two very important features: it is a comprehensive model that is applicable in all countries, and there is no need of historical data.…”

Section: Modeling Of Air Temperature Change (Modeling Of For 1 )mentioning

confidence: 99%

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Modeling of retailer's behavior for participation in the capacity market

Jalili

Eslami

Moghaddam

et al. 2019

Int Trans Electr Energ Syst

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Summary Due to economic reasons, only way for demand side management resources participation in capacity market is their participation by load serving entities, energy service companies, or retailers. To achieve the optimal participation of retailers in the capacity market, it is crucial to model the effective parameters in retailers’ behavior model and how they trade with the independent system operator and the consumers. So a novel method is proposed in this paper for modeling retailers’ behavior, considering demand side management resources availability for their participation in long term commitments. The capacity product of the retailer and its behavior are comprehensively modeled to trade in the capacity market. The competition of retailers is also considered and its effects on the profit of the retailer and consumers are analyzed. A genetic algorithm has been used to solve this problem due to its ability for solving large‐scale real nonlinear Non‐deterministic Polynomial‐time hard (NP‐hard) optimization problems.

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Section: Modeling Of the Retailer's Capacity Productmentioning

confidence: 99%

Section: Modeling Of Air Temperature Change (Modeling Of For 1 )mentioning

confidence: 99%

Modeling of retailer's behavior for participation in the capacity market

Jalili

Eslami

Moghaddam

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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Modeling of unforced demand response programs

Jalili

Siano

2021

International Journal of Emerging Electric Power Systems

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Demand response programs are useful options in reducing electricity price, congestion relief, load shifting, peak clipping, valley filling and resource adequacy from the system operator’s viewpoint. For this purpose, many models of these programs have been developed. However, the availability of these resources has not been properly modeled in demand response models making them not practical for long-term studies such as in the resource adequacy problem where considering the providers’ responding uncertainties is necessary for long-term studies. In this paper, a model considering providers’ unavailability for unforced demand response programs has been developed. Temperature changes, equipment failures, simultaneous implementation of demand side management resources, popular TV programs and family visits are the main reasons that may affect the availability of the demand response providers to fulfill their commitments. The effectiveness of the proposed model has been demonstrated by numerical simulation.

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The application of simple thermal models to improve dynamic load models

Cited by 2 publications

References 2 publications

Modeling of retailer's behavior for participation in the capacity market

Modeling of retailer's behavior for participation in the capacity market

Modeling of unforced demand response programs

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