COYOTE OPTIMIZATION ALGORITHM TO SOLVE ENERGY HUB ECONOMIC DISPATCH PROBLEM

Year 2020, Volume: 12 Issue: 1, 20 - 26, 16.06.2020

Uğur Güvenç , Onur Battal

Abstract

Regardless of energy type that we need today, it is important to use it efficiently and economically in the production, transmission and distribution stages. In line with the developing technology and needs, a new energy concept has emerged in which different energy types managed together in the past were managed independently. In this concept, energy infrastructures of more than one energy carrier such as electricity, gas and heat are met as Energy Hub (EH) to supply the demands such as electricity, gas, heating, cooling and compressed air by means of energy conversion, distribution and storage devices. EHs are expected to meet the demands energy with low operating costs. Energy hub economic dispatch problem (EHEDP) is a non-linear, non-convex, uniform and non-differential multidimensional optimization problem. In this study, the energy cost of the system is minimized by using the Coyote Optimization Algorithm (COA) for the solution of the EHEDP. The results obtained with COA have been compared with the results of heuristic algorithms such as Gravitational Search Algorithm (GSA), Enhanced Gravitational Search Algorithm (EGSA), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) in the literature. The compared results showed that COA performed better than other algorithms in solving EHED problem.

Keywords

Energy hub, Economic dispatch, Coyote optimization algorithm

ENERJİ MERKEZİ EKONOMİK YÜK DAĞITIM PROBLEMİ ÇÖZÜMÜ İÇİN KIR KURDU OPTİMİZASYON ALGORİTMASI

Abstract

Günümüzde ihtiyacımız olan enerjinin türü ne olursa olsun üretim, iletim, dağıtım aşamasında verimli ve ekonomik olarak kullanımı önemli hale gelmiştir. Gelişen teknoloji ve ihtiyaçlar doğrultusunda, geçmişte birbirinden bağımsız olarak yönetilen farklı enerji türlerinin bir arada yönetildiği yeni bir enerji konsepti ortaya çıkmıştır. Bu konseptte elektrik, gaz ve ısı gibi birden fazla enerji taşıyıcısının, enerji dönüşüm, dağıtım ve depolama cihazları vasıtasıyla, talep edilen elektrik, gaz, ısıtma, soğutma ve basınçlı hava gibi ihtiyaçların karşılanabilmesini sağlayan enerji alt yapıları Enerji Merkezi (EM) olarak kabul edilir. EM’ lerinin, talep edilen enerjiyi düşük işletme maliyeti ile karşılaması beklenir. Enerji merkezi ekonomik dağıtım problemi (EMEDP) doğrusal, konveks, düzgün ve diferansiyel olmayan çok boyutlu bir optimizasyon problemidir. Bu çalışmada EMEDP çözümü için Kır Kurdu Optimizasyon Algoritması (KKOA) kullanılarak sistem enerji maliyeti minimize edilmiştir. KKOA ile elde edilen sonuçlar, literatürde yer alan Yerçekimsel Arama Algoritması (YAA), Gelişmiş Yerçekimsel Arama Algoritması (GYAA), Parçacık Sürü Optimizasyonu (PSO), ve Genetik Algoritma (GA) gibi sezgisel algoritmaların sonuçları ile karşılaştırılmıştır. Karşılaştırılan sonuçlar, KKOA’ nın EMED problemi çözümünde diğer algoritmalara göre daha iyi performans gösterdiğini ortaya koymuştur.

Keywords

Enerji merkezi, Ekonomik dağıtım, Kır kurdu optimizasyon algoritması

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