Increasing interest has been seen in applying fuzzy set theory to power systems problems
from the number of publications on this topic. As a relatively new research topic a need is felt …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

Optimization of Power System Operation, 2nd Edition, offers a practical, hands-on guide to
theoretical developments and to the application of advanced optimization methods to …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

The authors describe a method for taking uncertainty into account during power flow
solutions with uncertain input data. The method is based on interval arithmetic which takes …

A methodology is described for expansion planning of power systems under uncertainty in
factors such as demand growth, fuel cost, delay in project completion, and financial …

This paper presents the development of a fuzzy system for short term load forecasting. The
fuzzy system has the network structure and the training procedure of a neural network and is …

The uncertainties in renewable power generators and the proliferation of price-responsive
load aggregators make it a challenge for independent system operators (ISOs) to manage …

Power flow studies are typically used to determine the steady state or operating conditions of
power systems for specified sets of load and generation values, and is one of the most …

A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind
generation,(ii) load and (iii) generation availability in power systems is proposed …