Interval Economic Dispatch Model with Uncertain Wind Power Injection and Spatial Branch and Bound Method
Power injection becomes stochastic due to large-scale wind power integration into power grid, which greatly challenges the traditional power grid. If the uncertainty is modelled using the interval number, the solution of economic dispatch model can also be represented as an interval number. To achieve the precise upper and lower bound, two deterministic programming models were deduced: the optimistic solution can be obtained by an optimistic model using linear programming, whereas the pessimistic solution achieved by a pessimistic model is an NP-hard problem, which can be transformed into a bilinear programming by duality theory. Then a linear relaxation technology, spatial branch and bound method were used to obtain the global pessimistic solution. Therefore, the interval bound information can provide the operator with institutive bound information for the future security assessment. Finally, a test system with 15 generators and 300 nodes was studied at different time scales. The result, compared with interior point method and enumeration, shows the effectiveness of proposed method.
T. Ding et al., "Interval Economic Dispatch Model with Uncertain Wind Power Injection and Spatial Branch and Bound Method," Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, vol. 34, no. 22, pp. 3707-3714, Chinese Society for Electrical Engineering, Aug 2014.
The definitive version is available at https://doi.org/10.13334/j.0258-8013.pcsee.2014.22.016
Electrical and Computer Engineering
Keywords and Phrases
Computational Complexity; Electric Power Distribution; Electric Power Transmission Networks; Linear Programming; Relaxation Processes; Scheduling; Stochastic Systems; Wind Power; Bilinear Programming; Duality Theory; Economic Dispatch; Interval Optimization; Linear Relaxations; Spatial Branch and Bounds; Branch and Bound Method; Linear Relaxation Technology; Spatial Branch and Bound
International Standard Serial Number (ISSN)
Article - Journal
© 2014 Chinese Society for Electrical Engineering, All rights reserved.
01 Aug 2014