This paper discusses optimization of freight train locomotive rescheduling under a disrupted situation in the daily operations in Japan. In the light of the current framework of dispatching processes that passenger railway operators modify the entire timetables, the adjusted timetable is distributed to a freight train operator. We solve the locomotive rescheduling problem for the given adjusted...

This paper proposes a methodology to limit the variations in generation cost in a power system under normal and contingent state using Differential Evolution (DE) optimization technique keeping consumer welfare in view. The aim of this proposed methodology is to minimize the deviations of generation cost, during contingency, from a preferred value by rescheduling of the generation with a contro...

Congestion management is one of the major tasks performed by system operators (SOs) to ensure the operation of transmission system within operating limits. To permit smooth and quality flow of power the problem of congestion has to be solved. The congestion in the transmission line will be removed by generation rescheduling with the cost involved in the rescheduling process should be minimized....

With the current trend towards cognitive manufacturing systems to deal with unforeseen events and disturbances that constantly demand real-time repair decisions, learning/reasoning skills and interactive capabilities are important functionalities for rescheduling a shop-floor on the fly taking into account several objectives and goal states. In this work, the automatic generation and update thr...

A general transient stability control technique is applied to the design of preventive countermeasures consisting of rescheduling generators’ active power. The technique relies on SIME, a hybrid direct – time-domain method; and, like SIME, it preserves the accuracy of time-domain methods and their ability to handle any power system modeling, stability scenario and mode of instability. Its appli...

This paper presents a linear programming (LP) based approach for the alleviation of line overloads by generation rescheduling and load shedding. The algorithm is based on solving a linearized set of optimal equations. The objective function for generation rescheduling is to minimize the linearized system operating cost while satisfying the system equality and inequality constraints. In respect ...

In a deregulated electricity market, CM is one of the key functions of a System Operator (SO) as congestion threatens system security and may cause rise in electricity price resulting in market inefficiency. Rescheduling generations and demands is an effective tool to relieve congestion. This paper presents a congestion management (CM) algorithm by optimal rescheduling of active powers of gener...

The locational Marginal Pricing (LMP) is very important issue in deregulated environment. This paper provides a method to minimize the locational marginal pricing in the energy market. This market works under locational marginal pricing, i.e., generating units and demand loads are paid and pay, respectively, the locational marginal prices corresponding to the nodes they are connected to. An ind...

Transforming the electric power system to incorporating a considerably increased share of renewable distributed generation implicates new challenges for the control of the system. To overcome the known shortcomings of centralized control, e.g. regarding scalability and robustness, a decentralized, self-organized system of agents for generators, loads and storages is widely discussed. We focus o...