International Journal of Power and Energy Systems 

About: International Journal of Power and Energy Systems is an academic journal published by ACTA Press. The journal publishes majorly in the area(s): Electric power system & AC power. It has an ISSN identifier of 1078-3466. Over the lifetime, 508 publications have been published receiving 2299 citations. The journal is also known as: Power and energy systems & International journal of power and energy systems.

Travelling wave-based fault location scheme for multi-end aged underground cable system

Abstract: This paper presents a novel wavelet-based fault location scheme for aged cable systems when synchronized digital fault recorded data are available at the two terminals of each cable. The availability of digital fault recorders at a reasonable cost allows the use of many of these devices at major substations. Thus, many cable lines have data available at both ends. The proposed scheme estimates the fault location in multi-end aged cable system using the theory of wavelet singularity detection as a powerful signal processing tool, the arrival of the first and second voltage travelling waves at both sides of the power cables can be identified reliably. The proposed scheme has the ability to eliminate the effect of the change in the propagation velocity of the travelling waves. This will help solving the problem of cable changing parameters especially the changing of the relative permittivity of the cable over its age that causes a large error in all fault location techniques, which use the value of propagation velocity in calculations. The method is valid even with very close faults to busbars. Characteristics of the proposed protection algorithm are analysed by extensive simulation studies using ATP/EMTP. The obtained results indicate an accepted degree of accuracy for the proposed fault locator scheme.

Artificial intelligence techniques for reactive power/voltage control in power systems: A review

Abstract: The main aim of reactive power control is to provide appropriate placement of compensation devices to ensure a satisfactory voltage profile while minimizing the cost of compensation. Since the early to middle 1980s, the focus has shifted away from the methodology of formal mathematical modelling, which was suited to the fields of operation research, control theory, and numerical analysis, to the less rigorous techniques of artificial intelligence (AI). This article reviews AI methods: expert systems, fuzzy systems, artificial neural networks, evolutionary computing, and tabu search for reactive power/voltage control in power systems. Hybrid systems for reactive power control are also critically reviewed.

Simulation methodology of multiple wind farms operation considering wind speed correlation

Abstract: This paper presents a methodology to simulate the operation of multiple wind farms. The proposed model simulates the multiple wind farm output curves which fit the given statistical indices. Correlated wind speeds of different wind farms are generated by using stochastic differential equation which takes account of marginal distribution and time sequencing. Wind speed seasonal rhythms and diurnal patterns, turbine output characteristics, wind turbine reliability model and wake effect are considered in the model. The presented cases validate the effectiveness of the model and show that correlation among wind farms has significant influence on the stochastic behaviour of wind farm total output. The proposed model can be used to study the effects of large-scale wind power integration in power system.

Optimal power dispatch for large scale power system using stochastic search algorithms

Abstract: This paper presents solution of optimal power flow (OPF) problem of large distribution systems via two stochastic search algorithms. A simple genetic algorithm (GA) and evolutionary programming (EP) are used to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in their secure limits. CPU times can be reduced by decomposing the optimization constraints to "active constraints" and "passive constraints". The active constraints which affect directly the cost function are manipulated by GA or EP. The passive constraints which affect indirectly this function are maintained in their soft limits using a conventional constraint load flow. If the objective used in the OPF problem formulation is the minimization of the total cost of real power then the active constraints are the active power generations only and the passive constraints are generator bus voltages, transformer taps and reactive power generations. The two stochastic search algorithms are applied to IEEE 30-bus model system (6 generators, 41 lines and 20 loads) and to IEEE 118-bus model system (54 generators, 186 (line + transformer) and 99 loads). The numerical results have demonstrated the effectiveness of the stochastic search algorithms because it can provide accurate dispatch solutions with reasonable time.