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

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Tarih

2020

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

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.

Açıklama

Anahtar Kelimeler

Mühendislik, Elektrik ve Elektronik, Bilgisayar Bilimleri, Yazılım Mühendisliği, İşletme, Enerji ve Yakıtlar, İktisat, İşletme Finans

Kaynak

Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi

WoS Q Değeri

Scopus Q Değeri

Cilt

12

Sayı

3

Künye