Frequency control is essential to ensure reliability and quality of power systems. North American Electric Reliability Corporation’s (NERC) Control Performance Standard 1 (CPS1) widely adopted by many operating authorities examine the frequency control. The authority would have a strong interest in knowing how frequency-sensitive features affect CPS1 score finding out more effective unit-dispat...

In this chapter, we study the optimal commitment of generation units in a decentralized market from the perspective of an individual market participant. We start by comparing the theoretic economic efficiencies of centralized and decentralized unit commitment (UC). We prove that under certain circumstances and in contrast to current teaching, centralized UC can lead to overall higher social wel...

We define a new primitive, input-aware equivocable commitment, baring similar hardness assumptions as plaintext-aware encryption and featuring equivocability. We construct an actual input-aware equivocable commitment protocol, based on a flavor of Diffie-Hellman assumptions allowing adversarially chosen domain parameters. On a parallel front, and since our commitment is extractable and equivoca...

Integrated resource planning has been performed by electric companies, because of its multifarious benefits in power system operation. Demand Response Resources (DRRs) can be used as a virtual demand side power plant. DRRs are clustered to IncentiveBased Programs (IBPs) and Time-Based Rate Programs (TBRPs). Precise modeling of DRRs helps the system operator to investigate the impact of responsi...

UC (Unit Commitment) is a non-linear, large scale, complex, mixed-integer combinatorial constrained optimization problem. This paper proposes, a new hybrid approach for generating UC schedules using SI (Swarm Intelligence) learning rule based NN (Neural Network). The training data has been generated using DP (Dynamic Programming) for machines without valve point effects and using genetic algori...

Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientific literatures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. By implementation of V2G dependencies of the power system on small expensive conventional units can be reduced, resulting in reduced operational cost. This paper represents an intelligent unit commitment (UC...

This paper proposes a power-based networkconstrained unit commitment (UC) model as an alternative to the traditional deterministic UCs to deal with wind generation uncertainty. The formulation draws a clear distinction between power-capacity and ramp-capability reserves to deal with wind production uncertainty. These power and ramp requirements can be obtained from wind forecast information. Th...

This paper demonstrates how a probabilistic criterion based on the full capacity outage probability distribution (e.g., LOLP) could be integrated into the unit commitment (UC) optimization using simple statistical approximation. While this provides a direct and computationally cheaper means as compared to a recently published approach to locating the globally optimal SR allocation (and associat...

Unit Commitment (UC) is an important optimization task in the daily operation planning of the utilities. In mathematical terms, UC is a nonlinear optimization problem with a varied set of constraints. In recent years, Genetic Algorithm (GA), as a powerful tool to achieve global optima, has been successfully used for the solution of this complex optimization problem. Nevertheless, since the GA d...

This article proposes a DR program characterized by novel compensation scheme. The proposed scheme recognizes the different characteristics of curtailment, such as total length curtailments within window time, or number separate curtailment events (i.e., startup), and compensates end-user accordingly. features piece-wise reward function comprised two intervals. participants receive onetime upfr...