Demand Response model considering EDRP and TOU programs

Aalami, Habib Allah; Yousefi, G. Reza; Moghadam, M Parsa

doi:10.1109/tdc.2008.4517059

Cited by 186 publications

(106 citation statements)

References 10 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…Therefore, the considered TOU tariff in this work (Table 2) is based on actual TOU tariffs which implement a three period tariff [37]. Based on the price ratio in the literature [37][38][39][40], the peak demand and the off peak prices are adapted according to the current tariff in Germany (30 ce/kWh), whereas feed-in tariff is still considered. …”

Section: Demand Response Tariffs Consideredmentioning

confidence: 99%

A Market-Based Optimization Approach for Domestic Thermal and Electricity Energy Management System: Formulation and Assessment

Feron

Monti

2018

Information

View full text Add to dashboard Cite

Abstract:The increase of domestic electrical and thermal controllable devices and the emergence of dynamic electrical pricing leads to the opportunity to integrate and optimize electrical and thermal energy at a house level using a home energy management system (HEMS) in order to minimize the energy costs. In the literature, optimization-based algorithms yielding 24-h schedules are used in spite of their growing complexity with the number of controllable devices and their sensitivity to forecast errors which leads, in most of the cases, to suboptimal schedules. To overcome this weakness, this paper introduces a domestic thermal and electrical control based on a market approach. In contrast with the optimization-based HEMS, the proposed market-based approach targets a scalable and reactive optimal control. This paper first formulates the market-based optimization problem with generality and discusses its optimality conditions with regards to the microeconomic theory. Secondly, this paper compares its optimality to an optimization-based approach and a rule-based approach under forecast errors using Monte Carlo simulations. Finally, this paper quantifies and identifies the effectiveness boundaries of the different approaches.

show abstract

Section: Demand Response Tariffs Consideredmentioning

confidence: 99%

A Market-Based Optimization Approach for Domestic Thermal and Electricity Energy Management System: Formulation and Assessment

Feron

Monti

2018

Information

View full text Add to dashboard Cite

show abstract

“…In DLC programsame as EDRP program incentive for customers which denotes the changes of the consumer's demand with regards to change of the electricity price is considered. The load consumption considering TOU, DLC and value of incentive paid by market operator's is given by the following equations [14,15] And also suppose that the customer changes its demand from 0 L (t) (initial value) to L(t) , based on the value of price to initial price.…”

Section: Mos Revenue and Responsive Load Mathematical Modelmentioning

confidence: 99%

Demand Response Impact on Market Operator's Revenue and Load Profile of a Grid Connected with Wind Power Plants

Tahmasebi

Pasupuleti²

2013

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-Economic properties of an integrated wind power plant (WPP) and the demand response (DR) programs in the sample electricity market are studied. Time of use (TOU) and direct load control (DLC) are two of the DR programs that are applied in the system. The influences of these methods and the incentive payments by market operator's (MOs) with variable elasticity are studied. It is observed that DR with TOU and DLC programs together yields better revenue and energy saving for MOs.

show abstract

“…In order to carry out such task, the customer's reaction function model and day-ahead load forecasting are required. In this paper, customer's reaction model is taken from [22]; also, for the forecasting part, multiple linear regression model (MLR) is used.…”

Section: Introductionmentioning

confidence: 99%

Towards the Interactive Effects of Demand Response Participation on Electricity Spot Market Price

Mohajeryami

Doostan

Moghadasi

et al. 2017

International Journal of Emerging Electric Power Systems

View full text Add to dashboard Cite

Abstract-The electricity market is threatened by supply scarcity, which may lead to very sharp price spikes in the spot market. On the other hand, demand-side's activities could effectively mitigate the supply scarcity and absorb most of these shocks and therefore smooth out the price volatility. In this paper, the positive effects of employing demand response programs on the spot market price are investigated. A demand-price elasticity based model is used to simulate the customer reaction function in the presence of a real time pricing. The demand achieve by DR program is used to adjust the spot market price by using a price regression model. SAS software is used to run the multiple linear regression model and MATLAB is used to simulate the demand response model. The approach is applied on one week data in summer 2014 of Connecticut in New England ISO. It could be concluded from the results of this study that applying DR program smooths out most of the price spikes in the electricity spot market and considerably reduces the customers' electricity cost.

show abstract

Demand Response model considering EDRP and TOU programs

Cited by 186 publications

References 10 publications

A Market-Based Optimization Approach for Domestic Thermal and Electricity Energy Management System: Formulation and Assessment

A Market-Based Optimization Approach for Domestic Thermal and Electricity Energy Management System: Formulation and Assessment

Demand Response Impact on Market Operator's Revenue and Load Profile of a Grid Connected with Wind Power Plants

Towards the Interactive Effects of Demand Response Participation on Electricity Spot Market Price

Contact Info

Product

Resources

About