Chance-Constrained Optimization of Demand Response to Price Signals
نویسندگان
چکیده
منابع مشابه
Global optimization of robust chance constrained problems
We propose a stochastic algorithm for the global optimization of chance constrained problems. We assume that the probability measure with which the constraints are evaluated is known only through its moments. The algorithm proceeds in two phases. In the first phase the probability distribution is (coarsely) discretized and solved to global optimality using a stochastic algorithm. We only assume...
متن کاملConvex relaxations of chance constrained optimization problems
In this paper we develop convex relaxations of chance constrained optimization problems in order to obtain lower bounds on the optimal value. Unlike existing statistical lower bounding techniques, our approach is designed to provide deterministic lower bounds. We show that a version of the proposed scheme leads to a tractable convex relaxation when the chance constraint function is affine with ...
متن کاملOptimal Power Flow Based Demand Response Offer Price Optimization
In the deregulated electricity market, demand side participation has become a very important solution to real-time energy balance. Demand response programs are offered by the utility companies to reduce the load on the customer side with monetary incentives when the power demand is high. It is a popular tool used by electricity utilities to manage the supply load and reduce the operating cost. ...
متن کاملChance constrained uncertain classification via robust optimization
This paper studies the problem of constructing robust classifiers when the training is plagued with uncertainty. The problem is posed as a Chance-Constrained Program (CCP) which ensures that the uncertain datapoints are classified correctly with high probability. Unfortunately such a CCP turns out to be intractable. The key novelty is in employing Bernstein bounding schemes to relax the CCP as ...
متن کاملAmbiguous chance constrained problems and robust optimization
In this paper we study ambiguous chance constrained problems where the distributions of the random parameters in the problem are themselves uncertain. We focus primarily on the special case where the uncertainty set Q of the distributions is of the form Q = {Q : ρp(Q, Q0) ≤ β}, where ρp denotes the Prohorov metric. The ambiguous chance constrained problem is approximated by a robust sampled pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Smart Grid
سال: 2013
ISSN: 1949-3053,1949-3061
DOI: 10.1109/tsg.2013.2258412