A Robust Optimization Model of Aggregated Resources Considering Serving Ratio for Providing Reserve Power in the Joint Electricity Market
Author:
Cha Seong-Hyeon1ORCID,
Kwak Sun-Hyeok1ORCID,
Ko Woong1ORCID
Affiliation:
1. Department of Electrical Engineering, Changwon National University (CWNU), 20 Changwondaehak-ro, Uichang-gu, Changwon-si 51140, Republic of Korea
Abstract
As the share of distributed generation increases, so do the opportunities for aggregators to participate in the electricity market. In particular, aggregators participating in both the day-ahead and real-time markets contribute to improving the reliability of the power system. In addition, aggregators seeking additional revenue can benefit from providing reserves in a joint electricity market environment. However, aggregated resources with uncertainty are limited because of the uncertain nature of both reserve provision and the amount of reserves they can provide. Therefore, this study proposes a robust optimization model for an aggregator to formulate a strategy for participation in the day-ahead markets and deploys energy control in the real-time operation. The serving ratio reflects the availability of the aggregator’s reserve participation. Both the deployed up/down power and renewable energy in the real-time operation are considered as uncertain parameters to reflect the uncertainty. In the case study, we analyze the profit-maximization strategy of an aggregator that owns renewable energy resources and energy-storage systems under the variation interval for uncertain parameters and the serving ratio. The bidding strategies vary by the variation interval and the serving ratio.
Funder
Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea
rising professor Financial Program at Changwon National University
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference29 articles.
1. Estimating the impacts of natural gas power generation growth on solar electricity development: PJM’s evolving resource mix and ramping capability;Nyangon;Wires Energy Environ.,2023
2. Spatial Energy Efficiency Patterns in New York and Implications for Energy Demand and the Rebound Effect;Nyangon;Energy Sources Part B Econ. Plan. Policy,2021
3. American policy conflict in the hothouse: Exploring the politics of climate inaction and polycentric rebellion;Byrne;Energy Res. Soc. Sci.,2022
4. (2023, September 19). Annual Energy Outlook 2023—Renewable Energy Generating Capacity and Generation, Available online: https://www.eia.gov/outlooks/aeo/data/browser/#/?id=16-AEO2023®ion=0-0&cases=ref2023&start=2021&end=2040&f=A&linechart=~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ref2023-d020623a.30-16-AEO2023~ref2023-d020623a.31-16-AEO2023~ref2023-d020623a.32-16-AEO2023~ref2023-d020623a.33-16-AEO2023~ref2023-d020623a.34-16-AEO2023~ref2023-d020623a.35-16-AEO2023~&ctype=linechart&chartindexed=0&sourcekey=0.
5. Solar power generation intermittency and aggregation;Wu;Sci. Rep.,2022