Chance-constrained dynamic programming with application to risk-aware robotic space exploration

M Ono, M Pavone, Y Kuwata, J Balaram - Autonomous Robots, 2015 - Springer
Existing approaches to constrained dynamic programming are limited to formulations where
the constraints share the same additive structure of the objective function (that is, they can …

Chance-constrained optimal power flow: Risk-aware network control under uncertainty

D Bienstock, M Chertkov, S Harnett - Siam Review, 2014 - SIAM
When uncontrollable resources fluctuate, optimal power flow (OPF), routinely used by the
electric power industry to redispatch hourly controllable generation (coal, gas, and hydro …

AC Optimal Power Flow in Power Systems with Renewable Energy Integration: A Review of Formulations and Case Studies

Z Wang, A Younesi, MV Liu, GC Guo… - IEEE Access, 2023 - ieeexplore.ieee.org
The primary goal of a power system is to provide consumers with reliable access to power at
the most economical cost. Under the declining costs of renewable energy sources, the …

Optimal power flow in the presence of wind power using modified cuckoo search

C Mishra, SP Singh, J Rokadia - IET Generation, Transmission …, 2015 - Wiley Online Library
This study proposes a solution to the optimal power flow (OPF) in power systems
incorporating wind power. The wind generated electricity's cost modelling is presented …

Joint chance-constrained dynamic programming

M Ono, Y Kuwata, J Balaram - 2012 IEEE 51st IEEE …, 2012 - ieeexplore.ieee.org
This paper presents a novel joint chance-constrained dynamic programming algorithm,
which explicitly bounds the probability of failure to satisfy given state constraints. Existing …

Risk-limiting power grid control with an arma-based prediction model

M Ono, U Topcu, M Yo, S Adachi - 52nd IEEE Conference on …, 2013 - ieeexplore.ieee.org
This paper is concerned with the risk-limiting operation of electric power grids with stochastic
uncertainties due to, for example, demand and integration of renewable generation. The …

Robust modeling of probabilistic uncertainty in smart grids: Data ambiguous chance constrained optimum power flow

D Bienstock, M Chertkov… - 52nd IEEE Conference on …, 2013 - ieeexplore.ieee.org
Future Grids will integrate time-intermittent renewables and demand response whose
fluctuating outputs will create perturbations requiring probabilistic measures of resilience …

Risk-limiting, market-based power dispatch and pricing

M Yo, M Ono, BC Williams… - 2013 European Control …, 2013 - ieeexplore.ieee.org
The purpose of this work is to enable risk-limiting electricity dispatch through a market
mechanism. There has been a solid body of work on centralized risk-limiting dispatch, which …

Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids

S Han, U Topcu, M Tao, H Owhadi… - 2013 American …, 2013 - ieeexplore.ieee.org
How does one evaluate the performance of a stochastic system in the absence of a perfect
model (ie probability distribution)? We address this question under the framework of optimal …

A mean-variance optimization approach to the development of portfolios of renewable generation in transmission-constrained systems

RS Ferreira, LA Barroso, MM Carvalho… - 2014 Power Systems …, 2014 - ieeexplore.ieee.org
We propose a general modeling framework that, under a set of assumptions, allows the
representation of problems involving the construction of portfolios of renewable generators …