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

Content Provider	IET Digital Library
Author	Gupta, Pranda Prasanta Jain, Prerna Sharma, Kailash Chand Bhakar, Rohit
Abstract	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.
Starting Page	2747
Ending Page	2760
Page Count	14
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 13, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0330
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-05-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Benders Decomposition Technique Bulk Energy Storage System CAES Scheduling Compressed Air Energy Storage DC Power Flow Equation DC SCUC Framework Energy Storage High Intermittent Wind Generation IEEE 118-bus System IEEE 30-bus Test 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 Optimisation Technique Post-line Contingency Power Generation Dispatch Power Generation Scheduling Power System Control Power System Economics Power System Managemen Power System Operation Power System Reliability Power System Security Probability Theory Reliability Statistics Stochastic Linearised SCUC Stochastic Scheduling Stochastic Security Constrained Unit Commitment Storage in Mechanical Energy Wind Curtailment Wind Penetration Wind Power Plant Wind Uncertainty Modelling
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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