SVC device optimal location for voltage stability enhancement based on a combined particle swarm optimization-continuation power flow technique

The increased power system loading combined with the worldwide power industry deregulation requires more reliable and efficient control of the power flow and network stability. Flexible AC transmission systems (FACTS) devices give new opportunities for controlling power and enhancing the usable capacity of the existing transmission lines. This paper presents a combined application of the particle swarm optimization (PSO) and the continuation power flow (CPF) technique to determine the optimal placement of static var compensator (SVC) in order to achieve the static voltage stability margin. The PSO objective function to be maximized is the loading factor to modify the load powers. In this scope, two SVC constraints are considered: the reference voltage in the first case and the total reactance and SVC reactive power in the second case. To test the performance of the proposed method, several simulations were performed on IEEE 30-Bus test systems. The results obtained show the effectiveness of the proposed method to find the optimal placement of the static var compensator and the improvement of the voltage stability

SVC device optimal location for voltage stability enhancement based on a combined particle swarm optimization-continuation power flow technique

The increased power system loading combined with the worldwide power industry deregulation requires more reliable and efficient control of the power flow and network stability. Flexible AC transmission systems (FACTS) devices give new opportunities for controlling power and enhancing the usable capacity of the existing transmission lines. This paper presents a combined application of the particle swarm optimization (PSO) and the continuation power flow (CPF) technique to determine the optimal placement of static var compensator (SVC) in order to achieve the static voltage stability margin. The PSO objective function to be maximized is the loading factor to modify the load powers. In this scope, two SVC constraints are considered: the reference voltage in the first case and the total reactance and SVC reactive power in the second case. To test the performance of the proposed method, several simulations were performed on IEEE 30-Bus test systems. The results obtained show the effectiveness of the proposed method to find the optimal placement of the static var compensator and the improvement of the voltage stability

Online Drone-based Data Gathering Strategies for Ground Sensor Networks

International audienceThis paper proposes two path-planning schemes for data collection in WSN using a drone flying over the sensor nodes to collect their data. We assign a weight to each sensor node corresponding to its priority in the collection process. When the drone selects its destination node, it will choose the one having the highest weight. We have defined utility functions based on the sensor nodes' information disseminated in the Wireless Sensor Network (WSN) using the Optimized Link State Routing protocol (OLSR). The information required to compute the nodes' weight is added to the exchanged packets during the execution of OLSR. The first proposed strategy is Data-driven Data Gathering Strategy (DDG) which uses the amount of stored data in each sensor node buffer. A priority is given to the nodes having the most significant data amount to collect. The second strategy is called Time-driven Data Gathering Strategy (TDG) where the age of the data is considered

UAV-based Data Gathering using An Artificial Potential Fields Approach

International audienceThe recent advances in wireless sensors and Un-manned Aerial Vehicles have created new opportunities for environmental control and low cost aerial data gathering. In this paper, we propose to use an Unmanned Aerial Vehicle (UAV) for data gathering. Basically, we have proposed a method for UAV path planning based on virtual forces and potential fields. In addition, and more importantly, we present a new approach to compute the attractive forces of the potential field

UAV-based Data Gathering using An Artificial Potential Fields Approach

International audienceThe recent advances in wireless sensors and Un-manned Aerial Vehicles have created new opportunities for environmental control and low cost aerial data gathering. In this paper, we propose to use an Unmanned Aerial Vehicle (UAV) for data gathering. Basically, we have proposed a method for UAV path planning based on virtual forces and potential fields. In addition, and more importantly, we present a new approach to compute the attractive forces of the potential field

A Collaborative Environment Perception Approach for Vehicular Ad Hoc Networks

International audienceIn this paper, we focus on vehicular safety applications based on the Dedicated Short Range Communication (DSRC) standard. We propose a new mechanism to alleviate channel congestion by reducing the beacons load while maintaining an accurate awareness level. Our scheme is based on the collective perception concept which consists in sharing perceived status information collected by vehicles equipped with different types of sensors (radars, lidars, cameras, etc.). To achieve our goal, we propose two main schemes. The first one consists in implementing the collective perception capability on vehicles and adding a new category of status messages to share locally collected sensor data in order to reduce channels load and enhance vehicles' awareness. The second scheme concerns the accuracy level of the received information from the collective perception enabled vehicles by fixing a prior error threshold on the position. The method proposed is validated by simulations and the results obtained are compared to those of an application based on the traditional beaconing scheme of the IEEE802.11p standard. The simulations show that the proposed scheme is able to significantly reduce the load on the control channel incurred by the beacons and the packet error ratio for different network densities and built-in sensors characteristics

Direct power control of shunt active filter using high selectivity filter (HSF) under distorted or unbalanced conditions

International audienceThis paper describes the design of a new configuration of direct power control (DPC) based on high selec-tivity filters (HSF) to achieve near-sinusoidal source current waveforms under different source voltageconditions. The proposed method uses the high selectivity filters instead of the classical extraction filters(low pass filters). The basic idea of the proposed DPC is to choose the best inverter voltage vector in orderto minimize instantaneous active and reactive power errors using two hysteresis comparators. Their out-puts associated with a switching table, control the active and reactive powers by selecting the optimalswitching states of the inverter. Simulation results have proved excellent performance, and verify thevalidity of the proposed DPC scheme, which is much better than conventional DPC using low pass filters

Wireless sensor network clustering for UAV-based data gathering

International audienceWith the ongoing system miniaturization, sensors capabilities and cost reduction, a new opportunities are created to accomplish data reduction and sensors fusion on small systems. This is the case for Unmanned Aerial Vehicles and the interest that they generate in applying this technology in remote sensing and data gathering in a wide wireless network. In another hand, it is clear that the use of mobile robots in a such network reduces the energy consumption for the static nodes, while forwarding data to a sink node and therefore extends the lifetime of the network. In this paper we attempt to demonstrate the advantage of integrating small scale drone in a terrestrial wireless sensor network, for environmental monitoring and data gathering