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Reliability Evaluation Method Considering Demand Response (DR) of Household Electrical Equipment in Distribution Networks
- Source :
- Processes, Volume 7, Issue 11, Processes, Vol 7, Iss 11, p 799 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- The load characteristic of typical household electrical equipment is elaborately analyzed. Considering the electric vehicles&rsquo<br />(EVs&rsquo<br />) charging behavior and air conditioning&rsquo<br />s thermodynamic property, an electricity price-based demand response (DR) model and an incentive-based DR model for two kinds of typical high-power electrical equipment are proposed to obtain the load curve considering two different kinds of DR mechanisms. Afterwards, a load shedding strategy is introduced to improve the traditional reliability evaluation method for distribution networks, with the capacity constraints of tie lines taken into account. Subsequently, a reliability calculation method of distribution networks considering the shortage of power supply capacity and outages is presented. Finally, the Monte Carlo method is employed to calculate the reliability index of distribution networks with different load levels, and the impacts of different DR strategies on the reliability of distribution networks are analyzed. The results show that both DR strategies can improve the distribution system reliability.
- Subjects :
- Distribution networks
Computer science
020209 energy
Monte Carlo method
Bioengineering
02 engineering and technology
lcsh:Chemical technology
reliability evaluation
lcsh:Chemistry
Demand response
Electrical equipment
0202 electrical engineering, electronic engineering, information engineering
Chemical Engineering (miscellaneous)
lcsh:TP1-1185
household electrical equipment
Reliability (statistics)
capacity constraint
business.industry
Process Chemistry and Technology
020208 electrical & electronic engineering
Power (physics)
Reliability engineering
lcsh:QD1-999
Air conditioning
demand response
incentive mechanism
Electricity
business
real-time electricity price
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Database :
- OpenAIRE
- Journal :
- Processes
- Accession number :
- edsair.doi.dedup.....1ecba44d1a6efc8514d1f06a9cc5d147
- Full Text :
- https://doi.org/10.3390/pr7110799