The capacity of renewable distributed generation (DG) connected in distribution networks is increasing. Use power electronic interfaces means DG can inject harmonic currents through the point common coupling into upstream networks. limits stipulated emission standards may create challenges for accommodating DG. To explore impact regulations on ability to host DG, this work incorporates voltage ...

Chance constrained programming is an effective and convenient approach to control riskin decision making under uncertainty. However, due to unknown probability distributions ofrandom parameters, the solution obtained from a chance constrained optimization problem canbe biased. In addition, instead of knowing the true distributions of random parameters, inpractice, only a series ...

Chance-constrained optimization (CCO) has been widely used for uncertainty management in power system operation. With the prevalence of wind energy, it becomes necessary to consider curtailment as a dispatch variable CCO. However, will cause an impulse distribution, yielding challenges explicit modeling chance constraint. In this paper, novel data-driven framework is developed handle issue. By ...

Convexity theory and duality theory are important issues in math- ematical programming. Within the framework of credibility theory, this paper rst introduces the concept of convex fuzzy variables and some basic criteria. Furthermore, a convexity theorem for fuzzy chance constrained programming is proved by adding some convexity conditions on the objective and constraint functions. Finally,...

in this paper, a model of an optimal control problem with chance constraints is introduced. the parametersof the constraints are fuzzy, random or fuzzy random variables. todefuzzify the constraints, we consider possibility levels.  bychance-constrained programming the chance constraints are converted to crisp constraints which are neither fuzzy nor stochastic and then the resulting classical op...

This study examines whether non-tone language listeners can acquire lexical tone categories distributionally and whether attention in the training phase modulates the effect of distributional learning. Native Australian English listeners were trained on a Thai lexical tone minimal pair and their performance was assessed using a discrimination task before and after training. During Training, par...