Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch
Over the last years, the role of the distribution system operator (DSO) has largely expanded. This is necessitated by the increased penetration of intermittent energy resources at the distribution level, as well as the new, more complex interactions with the transmission system operator (TSO). As su...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9006872/ |
| _version_ | 1830191786264363008 |
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| author | Vasileios A. Evangelopoulos Iason I. Avramidis Pavlos S. Georgilakis |
| author_facet | Vasileios A. Evangelopoulos Iason I. Avramidis Pavlos S. Georgilakis |
| author_sort | Vasileios A. Evangelopoulos |
| collection | DOAJ |
| description | Over the last years, the role of the distribution system operator (DSO) has largely expanded. This is necessitated by the increased penetration of intermittent energy resources at the distribution level, as well as the new, more complex interactions with the transmission system operator (TSO). As such, to properly manage its system and to have an effective joint cooperation with the TSO, the DSO is required to procure and carefully manage flexibility services from distributed energy resources (DER). This paper introduces a thorough framework on optimal operational planning (day-ahead scheduling) and operational management (real-time dispatch) of active distribution systems under uncertainties, to avoid line congestions and voltage limit violations, and efficiently balance the distribution system. A two-stage stochastic programming model based on weighted scenarios is proposed to optimize the multi-period optimal power flow day-ahead scheduling, i.e., scheduled power flows at the TSO-DSO interface and reserved DER flexibility services. Subsequently, the operational management, realized with a predictive real-time dispatch model based on a constantly updated rolling horizon, aims to efficiently activate the available flexibility services to minimize deviations from the committed schedule. Different sources of flexibility are considered, with their respective response times also taken into account at real-time dispatch. The proposed framework is applied on two distribution systems and investigates the DSO's level of risk exposure while minimizing its total cost (reservation and activation expenses). The results indicate that a less conservative approach at planning stage, despite the potential risk exposure, can lead to significant reduction in total expenses. |
| first_indexed | 2024-12-17T23:44:42Z |
| format | Article |
| id | doaj.art-d2711b3b402f44f39af65d5477e2aa49 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:44:42Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d2711b3b402f44f39af65d5477e2aa492022-12-21T21:28:21ZengIEEEIEEE Access2169-35362020-01-018388553887110.1109/ACCESS.2020.29756639006872Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time DispatchVasileios A. Evangelopoulos0https://orcid.org/0000-0002-8849-3545Iason I. Avramidis1https://orcid.org/0000-0002-4217-6480Pavlos S. Georgilakis2https://orcid.org/0000-0001-7231-7662School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens, GreeceOver the last years, the role of the distribution system operator (DSO) has largely expanded. This is necessitated by the increased penetration of intermittent energy resources at the distribution level, as well as the new, more complex interactions with the transmission system operator (TSO). As such, to properly manage its system and to have an effective joint cooperation with the TSO, the DSO is required to procure and carefully manage flexibility services from distributed energy resources (DER). This paper introduces a thorough framework on optimal operational planning (day-ahead scheduling) and operational management (real-time dispatch) of active distribution systems under uncertainties, to avoid line congestions and voltage limit violations, and efficiently balance the distribution system. A two-stage stochastic programming model based on weighted scenarios is proposed to optimize the multi-period optimal power flow day-ahead scheduling, i.e., scheduled power flows at the TSO-DSO interface and reserved DER flexibility services. Subsequently, the operational management, realized with a predictive real-time dispatch model based on a constantly updated rolling horizon, aims to efficiently activate the available flexibility services to minimize deviations from the committed schedule. Different sources of flexibility are considered, with their respective response times also taken into account at real-time dispatch. The proposed framework is applied on two distribution systems and investigates the DSO's level of risk exposure while minimizing its total cost (reservation and activation expenses). The results indicate that a less conservative approach at planning stage, despite the potential risk exposure, can lead to significant reduction in total expenses.https://ieeexplore.ieee.org/document/9006872/Battery storage systemsdistributed energy resourcesflexibility services managementreal-time dispatchrenewable energy sourcesstochastic day-ahead scheduling |
| spellingShingle | Vasileios A. Evangelopoulos Iason I. Avramidis Pavlos S. Georgilakis Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch IEEE Access Battery storage systems distributed energy resources flexibility services management real-time dispatch renewable energy sources stochastic day-ahead scheduling |
| title | Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch |
| title_full | Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch |
| title_fullStr | Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch |
| title_full_unstemmed | Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch |
| title_short | Flexibility Services Management Under Uncertainties for Power Distribution Systems: Stochastic Scheduling and Predictive Real-Time Dispatch |
| title_sort | flexibility services management under uncertainties for power distribution systems stochastic scheduling and predictive real time dispatch |
| topic | Battery storage systems distributed energy resources flexibility services management real-time dispatch renewable energy sources stochastic day-ahead scheduling |
| url | https://ieeexplore.ieee.org/document/9006872/ |
| work_keys_str_mv | AT vasileiosaevangelopoulos flexibilityservicesmanagementunderuncertaintiesforpowerdistributionsystemsstochasticschedulingandpredictiverealtimedispatch AT iasoniavramidis flexibilityservicesmanagementunderuncertaintiesforpowerdistributionsystemsstochasticschedulingandpredictiverealtimedispatch AT pavlossgeorgilakis flexibilityservicesmanagementunderuncertaintiesforpowerdistributionsystemsstochasticschedulingandpredictiverealtimedispatch |