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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| Published in: | IET generation, transmission & distribution Vol. 13; no. 13; pp. 2747 - 2760 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
09.07.2019
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| ISSN: | 1751-8687, 1751-8695 |
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| 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. |
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| AbstractList | 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. 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. |
| Author | Chand Sharma, Kailash Bhakar, Rohit Gupta, Pranda Prasanta Jain, Prerna |
| Author_xml | – sequence: 1 givenname: Pranda Prasanta surname: Gupta fullname: Gupta, Pranda Prasanta email: prandaprasantagupta@gmail.com organization: 1Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India – sequence: 2 givenname: Prerna surname: Jain fullname: Jain, Prerna organization: 1Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India – sequence: 3 givenname: Kailash surname: Chand Sharma fullname: Chand Sharma, Kailash organization: 2School of Automation, Banasthali Vidyapith, Rajasthan, India – sequence: 4 givenname: Rohit surname: Bhakar fullname: Bhakar, Rohit organization: 1Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India |
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| Copyright | The Institution of Engineering and Technology 2019 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Issue | 13 |
| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | Stochastic scheduling of compressed air energy storage in DC SCUC framework for high wind penetration |
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