Academic Journal

Optimal Bidding Scheduling of Virtual Power Plants Using a Dual-MILP (Mixed-Integer Linear Programming) Approach under a Real-Time Energy Market

التفاصيل البيبلوغرافية
العنوان: Optimal Bidding Scheduling of Virtual Power Plants Using a Dual-MILP (Mixed-Integer Linear Programming) Approach under a Real-Time Energy Market
المؤلفون: Seung-Jin Yoon, Kyung-Sang Ryu, Chansoo Kim, Yang-Hyun Nam, Dae-Jin Kim, Byungki Kim
المصدر: Energies, Vol 17, Iss 15, p 3773 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
مصطلحات موضوعية: optimal scheduling, mixed-integer linear programming, multi-energy market, over-generation, uncertainty of renewable energy sources, virtual power plants, Technology
الوصف: In recent years, the energy industry has increased the proportion of renewable energy sources, which are sustainable and carbon-free. However, the increase in renewable energy sources has led to grid instability due to factors such as the intermittent power generation of renewable sources, forecasting inaccuracies, and the lack of metering for small-scale power sources. Various studies have been carried out to address these issues. Among these, research on Virtual Power Plants (VPP) has focused on integrating unmanaged renewable energy sources into a unified system to improve their visibility. This research is now being applied in the energy trading market. However, the purpose of VPP aggregators has been to maximize profits. As a result, they have not considered the impact on distribution networks and have bid all available distributed resources into the energy market. While this approach has increased the visibility of renewables, an additional method is needed to deal with the grid instability caused by the increase in renewables. Consequently, grid operators have tried to address these issues by diversifying the energy market. As regulatory method, they have introduced real-time energy markets, imbalance penalty fees, and limitations on the output of distributed energy resources (DERs), in addition to the existing day-ahead market. In response, this paper proposes an optimal scheduling method for VPP aggregators that adapts to the diversifying energy market and enhances the operational benefits of VPPs by using two Mixed-Integer Linear Programming (MILP) models. The validity of the proposed model and algorithm is verified through a case study analysis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1996-1073
Relation: https://www.mdpi.com/1996-1073/17/15/3773; https://doaj.org/toc/1996-1073
DOI: 10.3390/en17153773
URL الوصول: https://doaj.org/article/bc2528ef5da44966a984311c76f748b7
رقم الانضمام: edsdoj.bc2528ef5da44966a984311c76f748b7
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19961073
DOI:10.3390/en17153773