Allocation of demand response resources: toward an effective contribution to power system voltage stability

In this study, capacity allocation of demand-response (DR) and the real-time savings earned from implementing DR programmes (DRPs) are investigated based on a mixed integer non-linear multi-objective programming (MINMOP) framework according to two conflicting concepts, titled; maximum achievable pot...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IET generation, transmission & distribution Ročník 10; číslo 16; s. 4169 - 4177
Hlavní autoři: Aghaei, Jamshid, Alizadeh, Mohammad Iman, Abdollahi, Amir, Barani, Mostafa
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 08.12.2016
Témata:
augmented ε‐constraint method
demand side management
demand‐response capacity allocation
DR programmes
DR resource allocation
DRPs
IEEE 24‐bus reliability test system
incentive payment
integer programming
maximum achievable potential
MINMOP framework
mixed integer nonlinear multiobjective programming framework
network loss
nonlinear programming
off‐the‐shelf conventional optimisation software
optimal generation scheduling cost
power system reliability
power system stability
power system voltage stability
RAP
realistic achievable potential
resource allocation
RTS 24‐bus
voltage drop
voltage stability margin
DR resource allocation
RAP
augmented ε-constraint method
maximum achievable potential
integer programming
nonlinear programming
IEEE 24-bus reliability test system
network loss
DRPs
resource allocation
power system reliability
DR programmes
off-the-shelf conventional optimisation software
power system voltage stability
optimal generation scheduling cost
power system stability
realistic achievable potential
MINMOP framework
mixed integer nonlinear multiobjective programming framework
RTS 24-bus
voltage drop
incentive payment
voltage stability margin
demand side management
demand-response capacity allocation
MAP
ISSN:1751-8687, 1751-8695
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this study, capacity allocation of demand-response (DR) and the real-time savings earned from implementing DR programmes (DRPs) are investigated based on a mixed integer non-linear multi-objective programming (MINMOP) framework according to two conflicting concepts, titled; maximum achievable potential (MAP) and realistic achievable potential (RAP). MAP indicates that placing a value on DR resources must be strictly weighed against the value of avoiding the acquisition of short-term resources to meet critical peak period, whereas RAP takes into accounts the amount of savings that might be achieved through DRPs. The proposed MINMOP includes both technical and economic aspects of integrating DRPs into the power systems by considering optimal generation scheduling cost, voltage drop, voltage stability margin, network loss, and incentive payment as objective functions. In addition, augmented ɛ-constraint method is applied to solve the proposed MINMOP by means of off-the-shelf conventional optimisation software. The IEEE 24-bus reliability test system (RTS 24-bus) is used to demonstrate the applicability of the proposed method. Eventually, DR allocation is analysed through four cases based on different number of candidate buses which demonstrate the interest and effectiveness of the proposed technique.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2016.0680