Gün Öncesi Piyasasında Yer Alan Sanal Güç Santrali için Teklif ve İşletme Planlaması

Year 2020, Volume: 12 Issue: 3, 1 - 10, 31.12.2020

Özge Pinar Akkaş , Ertugrul Cam

https://doi.org/10.29137/umagd.842476

Abstract

Bu çalışmada, enerji piyasasında yer alan bir Sanal Güç Santralinin (SGS) maksimum kâr elde etmesi amacıyla optimum teklif ve işletme planlamasının belirlenmesi amaçlanmıştır. Bunun için, Dağıtık Üretim Sistemlerine (DÜS) sahip IEEE 6-baralı test sistemi üzerinde Rüzgâr Enerji Santrali (RES), Fotovoltaik Enerji Santrali (FVES) ve Enerji Depolama Sistemi (ESS) içeren bir SGS oluşturulmuştur. Gün Öncesi Piyasasına (GÖP) katılan bu SGS’nin piyasada vereceği tekliflerin ve bileşenlerinin işletim planlaması bir gün için saatlik olarak yapılmıştır. Böylece SGS’nin maksimum kâr elde etmesi amaçlanmıştır. Önerilen problem Karışık Tamsayı Doğrusal Programlama (KTDP) olarak GAMS yazılımında modellenmiş ve CPLEX çözücüsü ile çözülerek optimum sonuç elde edilmeye çalışılmıştır. Elde edilen sonuçlar modelin uygulanabilir olduğunu ve metotun geçerli olduğunu göstermektedir.

Keywords

Sanal güç santrali, gün öncesi piyasası, optimizasyon, yenilenebilir enerji sistemleri, dağıtık üretim sistemleri, enerji depolama sistemi

Supporting Institution

Kırıkkale Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi

Project Number

2018/009

Thanks

Bu çalışma Kırıkkale Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi tarafından (2018/009) nolu BAP projesi ile desteklenmiştir.

Bidding and Operating Planning of a Virtual Power Plant in a Day-Ahead Market

Abstract

In this study, it is aimed to determine the optimum bidding and operating planning of a Virtual Power Plant (VPP) in the energy market to obtain maximum profit. For this purpose, the VPP containing a Wind Power Plant (WPP), a Photovoltaic Power Plant (PVPP), and an Energy Storage System (ESS) is composed on the IEEE 6-bus test system with Distributed Generators (DGs). The bidding planning and operating scheduling of the components of the VPP participating in the Day-ahead Market (DAM) are decided hourly for a day. Thus, SGS is aimed to gain maximum profit. The proposed problem has been modeled as Mixed Integer Linear Programming (MILP) in GAMS software and solved with CPLEX solver to obtain optimum results. The obtained results show that the model is applicable and the method is valid.

Keywords

Virtual power plant, day-ahead market, optimization, renewable energy systems, distributed generators, energy storage system

Project Number

2018/009

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