AKILLI ŞEBEKELER İÇİN BULANIK MANTIĞA DAYALI GERÇEK ZAMANLI ENERJİ FİYATI DÜZENLEME YAKLAŞIMI

Year 2019, , 143 - 150, 30.06.2019

Recep Çakmak , Ahmet Çakanel

https://doi.org/10.22531/muglajsci.535489

Abstract

Akıllı teknolojiler esnek, dinamik, verimli enerji üretimi ve yönetimini sağlamada öncü bir role sahiptir. Bu nedenle bulanık mantık, yapay sinir ağı, makine öğrenmesi, yumuşak hesaplama teknikleri gibi akıllı algoritmalar çeşitli ve çok sayıdaki dağıtık üretimlerin daha karmaşık hale getirdiği güç sistemleri için tek çaredir. Gerçek zamanlı kapalı çevrim kontrolü, literatürde yer alan çeşitli dinamik modellerin ve tahmin yazılımının istikrarlı ve güvenilir güç sistemi işletiminin sağlaması için arz ve talep denge noktasının temininde öne çıkan bir değişken olarak enerji fiyatını kullanmaktadır. Bu çalışmada bulanık mantığa dayalı bir fiyat düzenleyicisi (BMD-FD) tasarlanıp Türkiye'nin 2018 yılına ait yıllık enerji raporundan alınan bir yaz gününün saatlik verisi ile MATLAB/Simulink ortamında tasarlanan sistemin benzetimi yapılmıştır. Önerilen model oluşturulan benzetim durumlarında Oransal İntegral Türev (PID) fiyat denetleyicisi ile performans kriterlerine göre karşılaştırılmıştır. BMD-FD anlık referans talep sinyali değişikliklerini PID denetleyiciye göre daha hızlı geçici yanıt tepkisi ve minimum sürekli durum hatasıyla takip etmektedir.

Keywords

Enerji fiyatlandırması, Bulanık mantık, Performans kriterleri, PID denetleyici

A FUZZY LOGIC REASONING BASED REAL TIME ENERGY PRICE REGULATION APPROACH FOR SMART GRIDS

Abstract

Intelligent technologies have become pioneer force to provide flexible, dynamic and efficient energy generation and management. Thus, smart algorithms such as fuzzy logic, artificial neural network, machine learning, soft computing techniques are sole remedy against growing diverse and numerous distributed generations that make more complicated power system. Real time closed loop controlling requires energy price as a featured variable to procure supply demand equilibrium point for stable and reliable power system operation, where several dynamic models and estimation software are introduced in the literature. In this study, a fuzzy logic reasoning based price regulator (FLR-PR) is designed and simulated on MATLAB/Simulink environment using 2018 hourly data of a summer day taken from annual energy report of Turkey. Proposed model has been compared based on performance indexes to Proportional Integral Derivative (PID) price controller in the constituted simulation cases. FLR-PR tracks instant reference demand signal changes with minimum steady state error and fast transient response with respect to PID controller.

Keywords

Energy pricing, Distributed generation, Fuzzy logic, Performance indexes, PID controller, Smart grids.

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