Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...

Vehicle-to-grid power (V2G) uses electric-drive vehicles (battery, fuel cell, or hybrid) to provide power for specific electric markets. This article examines the systems and processes needed to tap energy in vehicles and implement V2G. It quantitatively compares today’s light vehicle fleet with the electric power system. The vehicle fleet has 20 times the power capacity, less than one-tenth th...

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) ...

This article is based on the discussion at a workshop conducted by EPRI and Carnegie Mellon University’s Electricity Industry Center on April 3, 2006, on issues surrounding the aging electric industry workforce. The event was co-sponsored by the American Public Power Association (APA), the National Rural Electric Cooperative Association (NRECA), and the Edison Electric Institute (EEI). Forty se...

To meet the growing load demand and provide reliable power supply, competition is introduced in the operation of electrical power market. In this scenario, the generators are submitting their energy bids in different time blocks. The market power for the corresponding load demand is determined from the submitted generators bids. In this paper, the total production cost for the corresponding loa...

This paper presents a mixed-integer nonlinear programming (MINLP) model for performing structural and parameter optimization of utility plants that satisfy given electrical, mechanical and heating demands of industrial processes. In this model a nonlinear objective function that accounts for the cost of equipment and operation is minimized. The proposed approach allows for the simultaneous opti...

This paper describes a large-signal linear, multirate digital controller for, among other possible servomechanical applications, charging electric vehicle batteries. This controller permits the power amplifier to track and deliver a desired current trajectory for a wide range of loads while providing a unity-power-factor interface to the electric utility. A computationally inexpensive technique...

Introduction During combustion, the mercury (Hg) in coal is volatilized and converted to elemental mercury (Hg) vapor in the high temperature regions of coal-fired boilers. As the flue gas is cooled, a series of complex reactions begin to convert Hg to ionic mercury (Hg) compounds and/or Hg compounds (Hgp) that are in a solid-phase at flue gas cleaning temperatures or Hg that is adsorbed onto t...

The business strategy literature offers apparently opposite views of the ability of vertical integration to cope with the uncertainty related to changing regulatory environments. In this paper, we analyze how the process of retail deregulation affects the comparative efficiency of governance structures, which range on a continuum from fully vertically integrated structures to market transaction...

This paper describes a power electronic system that, among other possibilities, can be used to charge electric vehicle batteries. A large-signal linear multirate digital controller for the charging current permits the charger to track and deliver a desired current trajectory for a wide range of loads. This controller simultaneously ensures that the charger draws power from the electric utility ...