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Unit Commitment in Power Market Considering Demand Response and Stochastic Wind Generation


Affiliations
1 Dep. of Electrical Engineering, Islamshahr Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
 

Integration of wind units into power system introduce various sources of technical and economical challenges to operation of power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect on the system security. In this paper, optimal security-constrained unit commitment (SCUC) in presence of demand response program (DR) based on stochastic wind generation is proposed as a novel method of SCUC to address the mentioned concern. In order to secure system from stochastic wind generation, the SCUC results have to be valid for most probable wind generation scenarios. The problem is formulated as a mixed-integer programming (MIP) and solved using Benders decomposition which implemented using GAMS software (CPLEX solver). The results of applying proposed method on IEEE six-bus test system show that the proposed method can successfully find the optimal SCUC which satisfied all constraints while is secure against variations in wind generation.

Keywords

Security-Constraint Unit Commitment (SCUC), Stochastic Wind Generation, Demand Response (DR), Benders Decomposition.
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  • Unit Commitment in Power Market Considering Demand Response and Stochastic Wind Generation

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Authors

Hossein Haroonabadi
Dep. of Electrical Engineering, Islamshahr Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of

Abstract


Integration of wind units into power system introduce various sources of technical and economical challenges to operation of power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect on the system security. In this paper, optimal security-constrained unit commitment (SCUC) in presence of demand response program (DR) based on stochastic wind generation is proposed as a novel method of SCUC to address the mentioned concern. In order to secure system from stochastic wind generation, the SCUC results have to be valid for most probable wind generation scenarios. The problem is formulated as a mixed-integer programming (MIP) and solved using Benders decomposition which implemented using GAMS software (CPLEX solver). The results of applying proposed method on IEEE six-bus test system show that the proposed method can successfully find the optimal SCUC which satisfied all constraints while is secure against variations in wind generation.

Keywords


Security-Constraint Unit Commitment (SCUC), Stochastic Wind Generation, Demand Response (DR), Benders Decomposition.