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This paper deals with a conceptual solution for the supply of a part of electrical energy for the needs of Aluminium Plant Podgorica (KAP) in Montenegro from a large Floating Photovoltaic Power Plant (FPPP), that would be installed on the nearby lake. The recommended FPPP, with an innovative azimuth angle control method and total installed power of 90 MWp, would consist of 18 power plants having an installed power of 5 MWp each. An analysis using the NREL solar insolation database ascertained that the recommended FPPP power plant can achieve a significantly higher production in comparison with previous solutions. An economic analysis has shown that the recommended power plant would yield positive economic indicators. Additionally, such a power plant would significantly contribute to the reduction of CO 2 emissions.

This paper deals with the problem of optimal wind turbine micro siting on complex terrains. A realistic wind farm terrain can be very complex not only for the topography of the terrain but also for other factors. Such factors are the environmental impact of the wind farm, the costs of land, the costs of access roads, wind turbine installation and maintenance costs, the costs of electrical infrastructure, etc. A grid-based wind farm model that takes all of these factors into consideration is proposed. For the purpose of an optimization algorithm, a doublestage genetic algorithm is proposed. In the first stage, the optimal micro-areas for wind turbine positioning are determined, whereas the second stage defines precise optimal positions of wind turbine foundations. The double-stage genetic algorithm increases the accuracy of wind turbine positioning and decreases the dimensionality of the problem. The algorithm has been tested on a realistic wind farm terrain in Serbia. V C 2014 AIP Publishing LLC. [http://dx.

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