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Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets
The P90 requirement of the Danish transmission system operator, Energinet, incentivizes flexible resources with stochastic power consumption/production baseline to bid in Nordic ancillary service markets with the minimum reliability of 90%, i.e., letting them cause reserve shortfall with the probabi...
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creator | Gade, Peter A.V. Bindner, Henrik W. Kazempour, Jalal |
description | The P90 requirement of the Danish transmission system operator, Energinet, incentivizes flexible resources with stochastic power consumption/production baseline to bid in Nordic ancillary service markets with the minimum reliability of 90%, i.e., letting them cause reserve shortfall with the probability of up to 10%. Leveraging this requirement, we develop a distributionally robust joint chance-constrained optimization model for aggregators of flexible resources to optimize their volume of reserve capacity to be offered. Having an aggregator of electric vehicles as a case study, we show how distributional robustness is key for the aggregator when making bidding decisions in a non-stationary uncertain environment. We also develop a heuristic based on a grid search for the system operator to adjust the P90 requirement and the level of conservativeness, aiming to procure the maximum reserve capacity from stochastic resources with least expected shortfall. |
doi_str_mv | 10.1109/SmartGridComm60555.2024.10738114 |
format | conference_proceeding |
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Leveraging this requirement, we develop a distributionally robust joint chance-constrained optimization model for aggregators of flexible resources to optimize their volume of reserve capacity to be offered. Having an aggregator of electric vehicles as a case study, we show how distributional robustness is key for the aggregator when making bidding decisions in a non-stationary uncertain environment. 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Leveraging this requirement, we develop a distributionally robust joint chance-constrained optimization model for aggregators of flexible resources to optimize their volume of reserve capacity to be offered. Having an aggregator of electric vehicles as a case study, we show how distributional robustness is key for the aggregator when making bidding decisions in a non-stationary uncertain environment. We also develop a heuristic based on a grid search for the system operator to adjust the P90 requirement and the level of conservativeness, aiming to procure the maximum reserve capacity from stochastic resources with least expected shortfall.</description><subject>ancillary services</subject><subject>bidding strategy</subject><subject>Computers</subject><subject>distributionally robust joint chance-constrained optimization</subject><subject>Electric vehicles</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Portfolios</subject><subject>Power demand</subject><subject>Procurement</subject><subject>Robustness</subject><subject>Smart grids</subject><subject>Stochastic flexible resources</subject><subject>Stochastic processes</subject><issn>2474-2902</issn><isbn>9798350318555</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kEtPwkAUhUcTEwnyD1zM0k3x3nmPOySCJviIuHJDpu0tGW2LToHIv7dGXZ3knJNv8TF2gTBGBH-5bELazlMsp5umMaC1HgsQaoxgpUNUR2zkrXdSg0TXr8dsIJRVmfAgTtmo694AAA2iATNgrwvaUwrr2K75kwf-TJ-7mKihdnvFZzV9xbymvu02u1RQx69jWf58Y8sfNqmMBZ-0RazrkA58SWkfC-L3Ib3TtjtjJ1WoOxr95ZAtZzcv09ts8Ti_m04WWbReZUbnztlCIhGVwZRWiaoqNFZWSaiUDHnhpTBUKVRESknnNViDufNkrJdDdv5LjT1g9ZFir-ew-pchvwEQN1d2</recordid><startdate>20240917</startdate><enddate>20240917</enddate><creator>Gade, Peter A.V.</creator><creator>Bindner, Henrik W.</creator><creator>Kazempour, Jalal</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20240917</creationdate><title>Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets</title><author>Gade, Peter A.V. ; Bindner, Henrik W. ; Kazempour, Jalal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i794-65b887c31eeeda6d742ffc51f7430f43abc9326ef414ee4438950761b89e6793</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ancillary services</topic><topic>bidding strategy</topic><topic>Computers</topic><topic>distributionally robust joint chance-constrained optimization</topic><topic>Electric vehicles</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>Portfolios</topic><topic>Power demand</topic><topic>Procurement</topic><topic>Robustness</topic><topic>Smart grids</topic><topic>Stochastic flexible resources</topic><topic>Stochastic processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Gade, Peter A.V.</creatorcontrib><creatorcontrib>Bindner, Henrik W.</creatorcontrib><creatorcontrib>Kazempour, Jalal</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gade, Peter A.V.</au><au>Bindner, Henrik W.</au><au>Kazempour, Jalal</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets</atitle><btitle>IEEE International Conference on Smart Grid Communications</btitle><stitle>SmartGridComm</stitle><date>2024-09-17</date><risdate>2024</risdate><spage>505</spage><epage>510</epage><pages>505-510</pages><eissn>2474-2902</eissn><eisbn>9798350318555</eisbn><abstract>The P90 requirement of the Danish transmission system operator, Energinet, incentivizes flexible resources with stochastic power consumption/production baseline to bid in Nordic ancillary service markets with the minimum reliability of 90%, i.e., letting them cause reserve shortfall with the probability of up to 10%. Leveraging this requirement, we develop a distributionally robust joint chance-constrained optimization model for aggregators of flexible resources to optimize their volume of reserve capacity to be offered. Having an aggregator of electric vehicles as a case study, we show how distributional robustness is key for the aggregator when making bidding decisions in a non-stationary uncertain environment. We also develop a heuristic based on a grid search for the system operator to adjust the P90 requirement and the level of conservativeness, aiming to procure the maximum reserve capacity from stochastic resources with least expected shortfall.</abstract><pub>IEEE</pub><doi>10.1109/SmartGridComm60555.2024.10738114</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | ancillary services bidding strategy Computers distributionally robust joint chance-constrained optimization Electric vehicles Optimization Optimization models Portfolios Power demand Procurement Robustness Smart grids Stochastic flexible resources Stochastic processes |
title | Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets |
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