Abstract
In order to achieve an effective reduction of greenhouse gas emissions, the future electrical distribution networks will need to accommodate higher amount of renewable energy based distributed generation such as Wind Turbines.
This will require a re-evaluation and most likely a revision of traditional methodologies, so that they can be used for the planning and management of future electrical distribution networks. Such networks evolve from the current passive systems to active networks and smart grids, managed through systems based on Information Communication Technology.
This chapter proposes a hybrid optimization method that aims at maximizing the Net Present Value related to the investment made by Wind Turbines developers in an active distribution network. The proposed method combines a Genetic Algorithm with a multi-period optimal power flow.
The method, integrating active management schemes such as coordinated voltage control, energy curtailment and power factor control is demonstrated on a 69-bus 11 kV radial distribution network.
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Siano, P., Chen, P., Chen, Z., Piccolo, A. (2012). Optimal Allocation of Wind Turbines in Active Distribution Networks by Using Multi-Period Optimal Power Flow and Genetic Algorithms. In: Wang, L. (eds) Modeling and Control of Sustainable Power Systems. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22904-6_9
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DOI: https://doi.org/10.1007/978-3-642-22904-6_9
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