NDLI: Stochastic SCUC Solution With Variable Wind Energy Using Constrained Ordinal Optimization

Content Provider	IEEE Xplore Digital Library
Author	Hongyu Wu Shahidehpour, M.
Copyright Year	2010
Abstract	This paper proposes a constrained ordinal optimization (COO) based method for solving the scenario-based stochastic security constrained unit commitment problem. The basic idea is to sample a large number of candidate unit commitment (UC) solutions by a crude model and then use an accurate model on a small selected subset to find good enough UC solutions over all scenarios. To facilitate the proposed method, a feasibility model is utilized that applies analytical conditions for identifying the feasibility of UCs. A blind picking approach based on the feasibility model is incorporated in the COO-based method for seeking good enough solutions. Numerical tests are performed on a modified IEEE 118-bus system with a high penetration of wind energy, in which hourly forecast errors of wind speed and loads and random outages of system components are considered. The simulation results show the validity and the effectiveness of the proposed method. Comparative evaluations of the proposed COO-based method with mixed-integer linear programming solvers are considered in this paper.
Starting Page	379
Ending Page	388
Page Count	10
File Size	1744030
File Format	PDF
ISSN	19493029
Volume Number	5
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Wind energy Wind forecasting Generators Optimization Indexes Computational modeling variable wind energy Mixed-integer linear programming (MILP) Monte Carlo simulation NP-hard limitation ordinal optimization (OO) security constrained unit commitment (SCUC)
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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