Active distribution networks planning with high penetration of wind power. (April 2017)

• Record Type: Journal Article
• Authors: Mokryani, Geev; Hu, Yim Fun; Pillai, Prashant; Rajamani, Haile-Selassie
• Is Part Of: Renewable energy. Volume 104(2017)
• Page Start: 40
• Page End: 49
• Publication Date: 2017-04
• Subjects: Wind power -- Active network management -- Social welfare -- Market-based optimal power flow -- Distribution network operators -- Distribution locational marginal prices; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2016.12.007
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: In this paper, a stochastic method for active distribution networks planning within a distribution market environment considering multi-configuration of wind turbines is proposed. Multi-configuration multi-scenario market-based optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand and different operational status of wind turbines (multiple-wind turbine configurations). Scenario-based approach is used to model the abovementioned uncertainties. The method evaluates the impact of multiple-wind turbine configurations and active network management schemes on the amount of wind power that can be injected into the grid, the distribution locational marginal prices throughout the network and on the social welfare. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system. It was shown that multi-wind turbine configurations under active network management schemes, including coordinated voltage control and adaptive power factor control, can increase the amount of wind power that can be injected into the grid; therefore, the distribution locational marginal prices reduce throughout the network significantly. Highlights: A stochastic method is proposed for active distribution networks planning with high penetration of wind power. Scenario based approach is used to model the uncertainties. Multi-configuration multi-scenario market-based optimal power flow is used to maximize the social welfare.