NDLI: Risk-averse multi-objective generation dispatch considering transient stability under load model uncertainty

Content Provider	IET Digital Library
Author	Xu, Yan Xie, Xuekuan Dong, Zhao Y. Hill, David J. Zhang, Rui
Abstract	Maintaining transient stability is one essential requirement for power system reliable operations. However, there is usually a conflict between the stability level and the economic objective. This study presents a new generation dispatch model to balance the two concerns. A risk-based criterion is proposed to quantify system transient stability on a probabilistic basis, and a multi-objective programming model is proposed to achieve best trade-off between transient stability requirement and economic operation. In the meantime, the load dynamics have a substantial impact on the transient stability but has not well accounted in the generation dispatch stage. In this study, the dynamic load models and their uncertain variation are taken into account through a strategically selected set of load composition scenarios to approximate the whole uncertainty space. A multi-objective evolutionary algorithm-based hybrid solution process is then developed. The proposed method is verified on the New England 10-machine 39-bus system. Numeric results show that the model can effectively obtain Pareto solutions which are free from instability risk and robust to stochastic load composition variations.
Starting Page	2785
Ending Page	2791
Page Count	7
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 11, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1502
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-08-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Dynamic Load Model Evolutionary Computation Instability Risk Load Composition Scenario Load Model Uncertainty Multiobjective Evolutionary Algorithm-based Hybrid Solution Process Multiobjective Programming Model New England 10-machine 39-bus System Optimisation Technique Pareto Optimisation Pareto Solution Power Generation Dispatch Power Generation Economics Power Generation Reliability Power System Control Power System Economics Power System Managemen Power System Operation Power System Operation Reliability Power System Transient Stability Probability Reliability Risk Analysis Risk-based Criterion Risk-based Multiobjective Generation Dispatch Statistics Stochastic Load Composition Variation Transient Stability
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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