A new nature inspired metaheuristic algorithm known as the cuckoo search algorithm (CSA) is presented in this paper, to solve the unit commitment problem (UCP) for hybrid power system. The utilization of wind energy sources is increasing throughout the world. It is therefore important to develop the protocol for the integration of wind generation system with conventional thermal unit generation...

the major problem of wind turbines is the great variability of wind power production. the dynamic change of the wind speed returns the quantity of the power injected to networks. therefore, wind–thermal generation scheduling problem plays a key role to implement clean power producers in a competitive environment. in deregulated power systems, the scheduling problem has various objectives than i...

This thesis investigates the application of marginal cost based spot pricing techniques to the short run coordination of decentralised, and potentially competitive, electricity markets. A Dispatch Based Pricing philosophy is proposed which requires that the dispatcher of a power system determine spot prices which are consistent with both the observed power system dispatch and the offers and bid...

voltage stability issues are growing challenges in many modern power systems. this paper proposes optimizing the size and location of static var compensator (svc) devices using a fuzzy weighted seeker optimization algorithm (fwsoa), as an effective solution to overcome such issues. although the primary purpose of svc is bus voltage regulation, it can also be useful for voltage stability enhance...

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...

The Combined Heat and Power Economic Emission Load Dispatch (CHPEED) is an optimization problem to minimize the cost and emission while ensuring the fulfilling the power and heat demand and feasible constraints. This paper presents Particle Swarm Optimization (PSO) technique and other to solve CHPEED with bounded feasible operating region. The main potential of this technique is that it proper ...

Nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. This has resulted in unanticipated congestion interfaces in regional transmission systems. The system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. To make the m...

Reactive power dispatch, which may have many local optima, is an important and challenging task in the operation and control of electric power system. This paper presents a Selfadapti ve Differential Evolution hybrid Particle Swarm (SaDEPS) optimization algorithm for optimal reactive power dispatch problem. In this method, each particle is updated by a randomly selected strategy from a candidat...

The loads and wheeling transactions are varying very rapidly in the deregulated power market. Hence the power producers must respond quickly to those changes without affecting the system security and stability. This paper presents an application of Fitness Distance Ratio Particle Swarm Optimization (FDR PSO) algorithm to determine the optimal generation dispatch of power producers with dynamic ...

Electricity generation is the process of generating electric power from natural energy sources. In early 1830s, the famous British scientist Michael Faraday discovered the fundamental principles of electricity generation. In most of the cases, electricity is generated from power plants by burning fossil-fuels: coal, oil and natural gas, which produce more pollutions than any other single indust...