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Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system

Jingliang Jin, Dequn Zhou, Peng Zhou (), Shuqu Qian and Mingming Zhang

Energy, 2016, vol. 106, issue C, 453-463

Abstract: Wind power plays a significant role in economic and environmental operation of electric power system. Meanwhile, the variability and uncertainty characteristics of wind power generation bring technical and economical challenges for power system operation. In order to harmonize the relationship between environmental protection and risk management in power dispatching, this paper presents a stochastic dynamic economic emission dispatch model combining risk perception with environmental awareness of decision-makers by following the principle of chance-constrained programming. In this power dispatching model, the description of wind power uncertainty is derived from the probability statistic character of wind speed. Constraints-handling techniques as a heuristic strategy are embedded into non-dominated sorting genetic algorithm-II. In addition, more information is digested from the Pareto optimum solution set by cluster analysis and fuzzy set theory. The simulation results eventually demonstrate that the increase of the share of wind power output will bring higher risk, though it is beneficial for economic cost and environmental protection. Since different risk perception and environmental awareness can possibly lead to diverse non-dominated solutions, decision-makers may choose an appropriate dispatching strategy according to their specific risk perception and environmental awareness.

Keywords: Wind power; Uncertainty; Dynamic economic emission dispatch; Chance-constrained programming (search for similar items in EconPapers)
Date: 2016
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