Article ID Journal Published Year Pages File Type
6478983 Applied Energy 2016 18 Pages PDF
Abstract

•Suggesting a new UC mixing a probabilistic security and incentive demand response.•Investigating the effects of uncertainty on UC using chance-constraint programming.•Proposing an efficient spinning reserve satisfaction based on a new ED correction.•Presenting a new operational cycles way to convert binary variable to discrete one.

We propose a probabilistic unit commitment problem with incentive-based demand response and high level of wind power. Our novel formulation provides an optimal allocation of up/down spinning reserve. A more efficient unit commitment algorithm based on operational cycles is developed. A multi-period elastic residual demand economic model based on the self- and cross-price elasticities and customers' benefit function is used. In the proposed scheme, the probability of residual demand falling within the up/down spinning reserve imposed by n − 1 security criterion is considered as a stochastic constraint. A chance-constrained method, with a new iterative economic dispatch correction, wind power curtailment, and commitment of cheaper units, is applied to guarantee that the probability of loss of load is lower than a pre-defined risk level. The developed architecture builds upon an improved Jaya algorithm to generate feasible, robust and optimal solutions corresponding to the operational cost. The proposed framework is applied to a small test system with 10 units and also to the IEEE 118-bus system to illustrate its advantages in efficient scheduling of generation in the power systems.

Related Topics
Physical Sciences and Engineering Energy Energy Engineering and Power Technology
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