Non-dispatchable technologies (solar, wind, run-of-the-ri ver hydro, cogeneration) affect the
cost of electricity production in a complex manner by modifying the probability distribution of …

New production cost algorithms are compared with representative algorithms used by the
electric utility industry. Accuracy and efficiency of new and conventional algorithms are …

The authors study the long-term competitiveness of introducing renewable energy sources
alongside the conventional generating units in a generation expansion plan by linking a …

Globally, power system operators are exploring ways to leverage the capabilities of smart
meters to implement fine-grained demand side management (DSM). This paper presents a …

Smart grid technology that enables fine-grained monitoring and control of electrical power
systems makes it possible to envision new operating strategies and even new business …

Traditional probabilistic production simulation method generally use the load duration curve,
which is difficult to deal with the issue of intermittent renewable energy power generation …

This paper considers the simulation of microgrids with smart meters that make it possible to
control the demand at individual consumer buildings. To create effective system-level …

Generalized Benders' decomposition has been proposed as the basis for a new model for
long range generation planning integrating linear programming with probabilistic methods …

Smartening and restructuring of power industry lead to introduction of new energy resources
in both supply and demand sides of energy sectors. In this regard, energy storage systems …

The value of photovoltaic (PV) plants to electric utilities is investigated under constraints of
power system security. It is suggested that the generally adopted methods of analysis for …