Unit commitment problem is a large scale nonlinear hybrid integer programming problem. Optimal unit commitment scheduling involves determining on/off states of units and determining generations of units. This paper proposes an improved particle swarm optimization (IPSO) for the solution of optimal unit commitment problem (UCP). In the proposed approach, the on/off states of units are limited in...

This article presents a Harmony Search Algorithm to solve the unit commitment (UC) problem. A micro grid includes various types of smart distributed generators, renewable generators, storage devices and controllable load. A micro grid must satisfy its local needs and should be under the hierarchical control of management system. Due to this combination of conventional and renewable sources, the...

Unit Commitment is large scale short-term optimization problem, in which main objective is to schedule generation to minimize the total fuel cost, subjected to large number of constraints that must be satisfied. In this paper unit commitment problem is solved by using a new evolutionary algorithm known as imperialistic algorithm. In ICA the initial populations individuals (countries) are the co...

Unit commitment (UC) is a key operational problem in power systems used to determine an optimal daily or weekly generation commitment schedule. Incorporating uncertainty in this already difficult mixed-integer optimization problem introduces significant computational challenges. Most existing stochastic UC models consider either a two-stage decision structure, where the commitment schedule for ...

We develop a two-stage stochastic programming model with integer first-stage and mixed-integer recourse for solving the unit commitment problem in power generation in the presence of uncertainty of load profiles. The solution methodology rests on a novel scenario decomposition method for stochastic integer programming. This method combines Lagrangian relaxation of non-anticipativity constraints...

This Paper explores the existing methodologies for the solution of unit commitment problem of large size power system. The survey covers exhaustive review of literature available over the past five decades published by the Pioneers, Experts & Researchers working in this field. It includes publications in standard international journals like IEEE, IEE, ELSEVIER etc, and proceedings of prominent ...

Wind generation with an uncertain nature poses many challenges in grid integration and secure operation of power system. One of these operation problems is the unit commitment. Demand Response (DR) can be defined as the changes in electric usage by end-use customers from their normal consumption patterns in response to the changes in the price of electricity over time. Further, DR can be also d...

This chapter presents a stochastic unit commitment model for power systems and revisits parallel decomposition algorithms for these types of models. The model is a two-stage stochastic programming problem with first-stage binary variables and second-stage mixed-binary variables. The here-and-now decision is to find day-ahead schedules for slow thermal power generators. The wait-and-see decision...

This paper solves reliability constrained unit commitment problem (UCP) for a composite power system network using network equivalent technique. Here, the integration of generation and transmission system reliability forms a composite power system model. The inclusion of load forecast uncertainty for the solution of unit commitment problem will give more accurate assessment of spinning reserve ...

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...