Wind Power, Distributed Generation: New Challenges, New Solutions

Authors : Vladimiro MIRANDA

Pages : 455-473

View : 14 | Download : 9

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This paper discusses some issues related with the growing importance of wind power and in modern power systems and some challenges raised by the emergence of distributed generation, and how computational intelligence and other modern techniques have been able to provide valuable results in solving the new problems. It presents some solutions obtained with a number of computational intelligence techniques and their application to real cases.Distributed generation is assuming an important role in modern power systems. The progress in technologies has allowed a portfolio of solutions to now be considered and found profitable, while only a few years ago one would witness arguments stating that only large centralized power stations would be economically feasible. The most widespread distributed generation alternatives are mini-hydros, wind generation, co-generation insert ignore into journalissuearticles values(CHP, combined heat and power); in industry or buildings, and small independent power generators insert ignore into journalissuearticles values(diesel, gas, or biomass);. Wind generation, in particular, has placed new challenges on system operation and planning, because of the “undispatchable” nature of wind, the difficulty in forecasting, and the impossibility of storing it. The emergence of distributed generation is coupled with the restructuring of the electric sector and the market orientation it received in recent years. This has opened business opportunities to private investors, non-institutional, in supplying power to the grid, resulting in a new inflow of capital to the sector, coming from sectors that traditionally were not investing in the energy business.
Keywords : Wind generation, distributed generation, computational intelligence