Stochastic scheduling of compressed air energy storage in DC SCUC framework for high wind penetration

High intermittent wind generation necessitates integration of bulk energy storage systems (ESSs) for maintaining security and reliability in power system operation. Considering this, stochastic security constrained unit commitment (SCUC) including compressed air energy storage (CAES) as bulk ESS for...

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Vydáno v:IET generation, transmission & distribution Ročník 13; číslo 13; s. 2747 - 2760
Hlavní autoři: Gupta, Pranda Prasanta, Jain, Prerna, Chand Sharma, Kailash, Bhakar, Rohit
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 09.07.2019
Témata:
Benders decomposition technique
bulk energy storage systems
CAES scheduling
compressed air energy storage
DC power flow equations
DC SCUC framework
high intermittent wind generation
IEEE 118‐bus system
IEEE 30‐bus system
injection sensitivity factors
integer programming
ISF
line outage distribution factor
linear programming
load flow
LODF
mixed integer linear programming problem
N‐1 network security constrained formulation
post‐line contingency
power generation dispatch
power generation scheduling
power system operation
power system reliability
power system security
Research Article
stochastic processes
stochastic scheduling
stochastic security constrained unit commitment
wind curtailment
wind penetration
wind power plants
wind uncertainty modelling
IEEE 30-bus system
DC SCUC framework
integer programming
power system operation
linear programming
wind uncertainty modelling
power generation scheduling
Benders decomposition technique
power system reliability
line outage distribution factor
wind curtailment
wind penetration
mixed integer linear programming problem
stochastic processes
wind power plants
ISF
N-1 network security constrained formulation
DC power flow equations
CAES scheduling
LODF
stochastic security constrained unit commitment
stochastic scheduling
power system security
power generation dispatch
high intermittent wind generation
compressed air energy storage
post-line contingency
bulk energy storage systems
load flow
IEEE 118-bus system
injection sensitivity factors
ISSN:1751-8687, 1751-8695
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Popis
Shrnutí:High intermittent wind generation necessitates integration of bulk energy storage systems (ESSs) for maintaining security and reliability in power system operation. Considering this, stochastic security constrained unit commitment (SCUC) including compressed air energy storage (CAES) as bulk ESS for high wind penetration and with wind uncertainty modelling is addressed. Network constraints for pre- and post-line contingency are modelled using DC power flow. Injection sensitivity factors (ISFs) are conventionally used in power flow equations which, however, make N − 1 network security constrained formulation huge and computationally demanding for the proposed stochastic model. Therefore, this study proposes a line outage distribution factor (LODF) to reduce the number of coefficients of post contingency DC power flow equations. This is a compact formulation with the lower computational requirement. Wind uncertainty is modelled as probable scenarios. The proposed SCUC is a complex mixed integer linear programming problem and solved using Benders decomposition technique for IEEE 30-bus and 118-bus system. Simulation results to analyse the impact of CAES, wind uncertainty and line contingency with ISF and LODF on overall operation costs, CAES scheduling, wind curtailment, locational marginal price and computational time. Results show that the proposed model is computationally efficient for system operation under high wind penetration.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.0330