An Optimization Model for the Integration of Renewable Technologies in Power Generation Systems

Andreas Poullikkas
Electricity Authority of Cyprus, Cyprus

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110572347

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:9, s. 2347-2354

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Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


In view of the expanding Renewable Energy Sources (RES) generation worldwide and in particular in European Union; it is crucial for every country to consider the cost of integrating the necessary mixture of RESE technologies in their existing and future generation systems. In this work; an optimization model for the integration of RES electricity (RES-E) technologies in power generation systems is developed. The purpose of the optimization procedure is to assess the unavoidable increase in the cost of electricity of a given power generation system at different RES-E penetration levels. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the large penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. The above GA procedure enables the estimation of the level of the adequate (or eligible) feed-intariff (FiT) to be offered to future RES-E systems. The overall cost increase in the electricity sector for the promotion of RES-E technologies; for a given period; is analyzed taking into account factors; such as; the fuel avoidance cost; the carbon dioxide emissions avoidance cost; the conventional power system increased operation cost; etc. The applicability of the developed optimization model is applied to the small isolated power generation system of the island of Cyprus. The results indicated that in the case of 15% RES-E penetration by providing FiTs with a 10% internal rate of return the required level of RES-E levy in the electricity bills will be 0.53€c/kWh.


Power generation; renewable energy sources; genetic algorithm; optimization


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