MW Wind Energy Research Articles

Study on multi-objective optimization of load dispatch including renewable energy and CCS technologies

This paper mainly studies the multi-objective optimization of load dispatch of power systems including renewable energy and CO2 capture and storage (CCS) technologies. The improved environmental/economic load dispatch model for the power system is constructed, considering the renewable energy utilization and CCS technologies. A novel singular weighted method (SWM) has been proposed in this paper for solving this kind of multi-objective and multi-constraint optimization problem. A power system with five generators has been applied in one case study to test the model and SWM. It was concluded that the share that each unit takes is not linear; however, the optimal results are largely relevant to the characteristics of the units. In addition, the research results showed that with the increment of the weight coefficient for a certain objective function, the optimization result was closer to the single optimization result for that objective function; and with the increase of forecast demand load, a 35 MW wind energy unit and a 200 MW water energy unit should be built. Copyright © 2009 John Wiley & Sons, Ltd.

Prospects of wind energy in India

This paper is a modest attempt to study the growth and performance of wind farms in India. India occupies the 5th place in the world in wind energy generation after Germany, the USA, Denmark and Spain, and has an installed capacity of more than 2485 MW of wind energy, comprising both commercial projects (2418 MW) and demonstration projects (65.415 MW) as of 31 March 2004. This paper discusses the progress mode, wind resource assessment, technological development, environmental benefits and economics in the area of wind energy and also the policies of wind power development in India. It also deals with the performance and Pareto analysis of the wind farm located at Muppandal (in the southern part of India), with an installed capacity of 16.525 MW. It consists of 53 Wind Electric Generators (WEGs).

Multi-megawatt wind turbines for offshore use: aspects of Life Cycle Assessment

Life Cycle Assessment (LCA) is an instrument to quantify environmental impacts of the entire energy supply chain. According to the LCA, an appropriate indicator system should comprise all steps of a system's life cycle: production, operational and disposal processes ('cradle-to-grave'). Cumulative Energy Demand (CED) might be seen as one part of LCA as far as the depletion of energy resources in the entire life cycle of any system is concerned. Since the methodology of finding CED is very close to that of LCA, it is suggested that CED can be used to indicate environmental impacts, especially in the case of power-producing systems. With regard to these aspects, two indicators are discussed in this paper: the CED and Energy Payback Time (EPT). Both terms, CED and EPT, have been calculated for a modern 5 MW wind energy converter (WEC) for offshore use. The CED of the WEC amounts to 85,000 GJ and the EPT is about 4 months.

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Incorporation and Impact of a Wind Energy Conversion System in Generation Expansion Planning

This paper utilizes WASP, a state-of-the art computer model, to obtain optimal generation expansion plans for an electric utility in order to assess the impact of incorporating a wind energy conversion system into an electric utility generation expansion plan. The IEEE Reliability Test System is used in the evaluations. The optimal plans satisfy given levels of reliability, in terms of loss of load probability and capacity reserve margin, and minimize the present worth of capital and operating costs minus a salvage value at the end of the planning horizon. The analyses were carried out with a 75 MW and a 150 MW wind energy conversion systems as expansion candidates and evaluating their impact on optimal mix of capacity for displacement, fuel savings and capital and operating costs over the 1981-2010 planning period. In this paper the wind turbine generators are modelled as multi- state units whose derated capacity states are caused by wind variability and random mechanical failure. As the results show, the wind energy conversion system has a significant effect on optimal mix of generation and construction timing of conventional units as well as reliability and capital and operating requirements.