Impact of demand response on distribution system reliability

Mohagheghi, Salman; Yang, Fang; Falahati, Bamdad

doi:10.1109/pes.2011.6039365

Cited by 62 publications

(48 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, lowering peak load quenches the power system thirst for new infrastructures and decreases power system investment cost. Furthermore, DSM can help improve the system reliability, stability, and power losses [36]. The most important drawback of DSM is its deployment cost.…”

Section: Definition and Benefitsmentioning

confidence: 99%

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

View full text Add to dashboard Cite

Rising demand, climate change, growing fuel costs, outdated power system infrastructures, and new power generation technologies have made renewable distribution generators very attractive in recent years. Because of the increasing penetration level of renewable energy sources in addition to the growth of new electrical demand sectors, such as electrical vehicles, the power system may face serious problems and challenges in the near future. A revolutionary new power grid system, called smart grid, has been developed as a solution to these problems. The smart grid, equipped with modern communication and computation infrastructures, can coordinate different parts of the power system to enhance energy efficiency, reliability, and quality, while decreasing the energy cost. Since conventional distribution networks lack smart infrastructures, much research has been recently done in the distribution part of the smart grid, called smart distribution grid (SDG). This paper surveys contemporary literature in SDG from the perspective of the electricity market in addition to power system considerations. For this purpose, this paper reviews current demand side management methods, supply side management methods, and electrical vehicle charging and discharging techniques in SDG and also discusses their drawbacks. We also present future research directions to tackle new and existing challenges in the SDG.

show abstract

Section: Definition and Benefitsmentioning

confidence: 99%

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

View full text Add to dashboard Cite

show abstract

“…Thus, the EDNs demanded power will possess more flexibility and controllability in a smart grid. Herein, demand response (DR) programs have been suggested to be implemented in EDNs …”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, DR programs have been proposed in Soroudi et al for minimizing the EDNs power loss considering electricity price uncertainty. Moreover, DR programs can be used in the outage management process that leads to reliability level enhancement of the EDNs …”

Section: Introductionmentioning

confidence: 99%

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Mohammadi

Soleymani

Mozafari

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Advanced distribution automation (ADA) is a vital basis of the smart grid, which leads to enhancement of reliability level. Moreover, demand response programs are highly proposed to be employed in the smart grid. In this paper, a cross‐sectional benefit of smart grid maturity model is proposed in which the emergency demand response programs (EDRPs) are considered in the ADA planning problem. In fact, the role of EDRPs is considered in the service restoration process that affects the ADA plan. The service restoration process possesses several uncertain parameters including the demanded power of customers during service restoration, which are considered in the proposed formulation for ADA planning. The objective function of the optimization problem includes various costs imposed to the distribution system operator due to contingency occurrence including the expected total customer interruption cost, total investment cost of automatic sectionalizing switches, circuit breakers, and fuses deployment, and the total expected cost of implementing EDRP programs in the service restoration. The presented ADA planning methodology is tested on the fourth bus number of Roy Bilinton test system (RBTS4) to investigate its effectiveness.

show abstract

“…Moreover, system operators may apply DR programs to reduce the load temporarily in emergency grid conditions such as unit outage or unpredictable change in renewable generation [2,3]. Therefore, the main idea of DR is to encourage customers to manage their consumption patterns in a way not only to maximize their own utility, but also to support safe operation of the power system [4].…”

Section: Introductionmentioning

confidence: 99%

Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids

et al. 2017

View full text Add to dashboard Cite

Abstract:In recent deregulated power systems, demand response (DR) has become one of the most cost-effective and efficient solutions for smoothing the load profile when the system is under stress. By participating in DR programs, customers are able to change their energy consumption habits in response to energy price changes and get incentives in return. In this paper, we study the effect of various time-based rate (TBR) programs on the stochastic day-ahead energy and reserve scheduling in residential islanded microgrids (MGs). An effective approach is presented to schedule both energy and reserve in presence of renewable energy resources (RESs) and electric vehicles (EVs). An economic model of responsive load is also proposed on the basis of elasticity factor to model the behavior of customers participating in various DR programs. A two-stage stochastic programming model is developed accordingly to minimize the expected cost of MG under different TBR programs. To verify the effectiveness and applicability of the proposed approach, a number of simulations are performed under different scenarios using real data; and the impact of TBR-DR actions on energy and reserve scheduling are studied and compared subsequently.

show abstract

Impact of demand response on distribution system reliability

Cited by 62 publications

References 8 publications

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids

Contact Info

Product

Resources

About