Long-Term Multi-Objective Optimization Dispatch and its Evaluation in Wind Integrated Power Systems

Ke Wang; Da Hai You; Kai Pan

doi:10.4028/www.scientific.net/AMR.732-733.1033

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 732-733Long-Term Multi-Objective Optimization Dispatch...

Long-Term Multi-Objective Optimization Dispatch and its Evaluation in Wind Integrated Power Systems

Abstract:

With energy saving and emission reduction paid more and more attention in electric power industry, long-term optimization dispatch in wind-integrated power system must take into consideration many inconsistent factors. In this paper on the basis of comprehensive consideration of coal consumption, emissions, openness and impartiality, a long-term multi-objective fuzzy optimization dispatch model is established. The model can optimize jointly generation maintenance scheduling, unit commitment and power output. After piecewise linearization of the objectives and the constraints, the optimization model is converted to a mixed integer linear programming (MILP) problem. An efficient optimization software CPLEX is employed to solve the problem. In order to analyze and compare different generation scheduling, a series of indices and fuzzy comprehensive evaluation method are utilized to evaluate the optimal results obtained. The proposed model is tested in IEEE 118-bus system incorporating three wind farms. The results show that the optimization model and the evaluation system built are effective and feasible.

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Periodical:

Advanced Materials Research (Volumes 732-733)

Pages:

1033-1037

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.732-733.1033

Citation:

Cite this paper

Online since:

August 2013

Authors:

Ke Wang, Da Hai You, Kai Pan

Keywords:

Fuzzy Comprehensive Evaluation (FCE), Fuzzy Theory, Mixed Integer Linear Programming (MILP), Optimization Dispatch, Uncertainty, Wind Power

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