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Optimal demand response based on utility maximization in power networks
TLDR
This paper considers households that operate different appliances including PHEVs and batteries and proposes a demand response approach based on utility maximization, which proposes a distributed algorithm for the utility company and the customers to jointly compute this optimal prices and demand schedules.
Harnessing smoothness to accelerate distributed optimization
  • Guannan Qu, N. Li
  • Mathematics, Computer Science
    IEEE 55th Conference on Decision and Control (CDC…
  • 1 December 2016
TLDR
This paper proposes a distributed algorithm that, despite using the same amount of communication per iteration as DGD, can effectively harnesses the function smoothness and converge to the optimum with a rate of O(1/t) if the objective function is strongly convex and smooth.
Accelerated Distributed Nesterov Gradient Descent
  • Guannan Qu, N. Li
  • Mathematics, Physics
    IEEE Transactions on Automatic Control
  • 19 May 2017
This paper considers the distributed optimization problem over a network, where the objective is to optimize a global function formed by a sum of local functions, using only local computation and
Two Market Models for Demand Response in Power Networks
TLDR
Two abstract market models for designing demand response to match power supply and shape power demand are considered, characterized in competitive as well as oligopolistic markets, and proposed distributed demand response algorithms to achieve the equilibria.
Synthesis and swelling behaviors of sodium carboxymethyl cellulose-g-poly(AA-co-AM-co-AMPS)/MMT superabsorbent hydrogel
Abstract Superabsorbents were synthesized by graft copolymerization of acrylic acid (AA)/acrylamide (AM)/2-acrylamido-2-methyl-1-propanesulfonic acid (AMPS) onto sodium carboxymethyl cellulose (CMC)
Real-Time Energy Management in Microgrids
TLDR
This paper model the online energy management as a stochastic optimal power flow problem and proposes an online EMS based on Lyapunov optimization that takes into account the power flow and system operational constraints on a distribution network.
Harnessing Smoothness to Accelerate Distributed Optimization
  • Guannan Qu, N. Li
  • Mathematics, Computer Science
    IEEE Transactions on Control of Network Systems
  • 23 May 2016
TLDR
It is shown that it is impossible for a class of distributed algorithms like DGD to achieve a linear convergence rate without using history information even if the objective function is strongly convex and smooth, and a novel gradient estimation scheme is proposed that uses history information to achieve fast and accurate estimation of the average gradient.
Optimal Residential Demand Response in Distribution Networks
TLDR
This work forms residential DR as an optimal power flow problem and proposes a distributed scheme where the load service entity and the households interactively communicate to compute an optimal demand schedule.
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
TLDR
This paper designs online algorithms, Receding Horizon Gradient-based Control (RHGC), that utilize the predictions through finite steps of gradient computations, and provides a fundamental limit of the dynamic regret for any online algorithms by considering linear quadratic tracking problems.
Three new triterpenes from Nerium oleander and biological activity of the isolated compounds.
TLDR
The anti-inflammatory activity of the seven isolated compounds and methyl esters of ursolic acid and oleanoic acid in vitro was examined on the basis of inhibitory activity against the induction of the intercellular adhesion molecule-1 (ICAM-1).
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