This paper outlines the fundamental features of the PJM day-ahead energy market and real-time energy market. The Day-ahead market is based on a voluntary least-cost security constrained unit commitment and dispatch with several fundamental design features that ensure the market is robust and competitive. This market offers market participants the option to lock in energy and transportation char...

this paper proposes a novel technique for solving generation scheduling and ramp rate constrained unit commitment. a modified objective function associated with a new start-up cost term is introduced in this paper. the proposed method is used to solve generating scheduling problem satisfying srr, minimum up and down time as well as ramp rate constraints. two case studies are conducted to implem...

In this second portion of a two-part analysis of a computational approach to scalable stochastic unit commitment, we transition our focus from approximating accurate stochastic process models of load to solving the resulting stochastic optimization models in tractable run-times. Our solution technique is based on Rockafellar and Wets’ progressive hedging algorithm, a scenario-based decompositio...

We present a parallel implementation of a Lagrangian relaxation algorithm for solving stochastic unit commitment subject to uncertainty in wind power supply and generator and transmission line failures. We present a scenario selection algorithm inspired by importance sampling in order to formulate the stochastic unit commitment problem and validate its performance by comparing it to a stochasti...

A formulation for the commitment of electric power generators under a deregulated electricity market is proposed. The problem is expressed as a stochastic optimization problem in which the expected profits are maximized while meeting demand and standard operating constraints. First, we show that when an electric power producer has the option of trading electricity at market prices, an optimal u...