This paper presents the determination of the optimal distributed generation (DG) placement using bacterial foraging optimization algorithm (BFOA). The BFO mimics the seeking-nutrient behavior of the E. coli bacteria. It is utilized here to find the location and size of the DG installation in radial distribution system in order to obtain minimum system losses. The operation constraints include bus voltage limits, distribution line thermal limits, system power balance and generation power limits. The algorithm is tested on the IEEE 33 bus system. The result shows that the algorithm could be used as an alternative to the other techniques and improvement of the algorithm is required for acceleration and better accuracy of the calculation.
Traction forces that vehicles use to propel their wheels depend on efficiencies of motors, power transmissions, and vehicle constructions. Behavior of driver on acceleration or deceleration varies responding to road conditions, traffic lights, and driving styles. Average speed estimation of the vehicle under known road conditions can be obtained from the standard driving cycles such as the urban driving cycle by NEDC and the highway fuel economy test cycle (HWFET) by EPA. An urban area, Khon Kaen province located in Northeastern part of Thailand, mostly has flat and rough road conditions that have not been well recorded. In this study a GPS device was installed on a midsize vehicle to record speed and time on roundtrip test drives. In this paper, the data on speed of the vehicle traveled from Department of Electrical Engineering, Khon Kaen University to four nearby locations were investigated than compared with standard driving cycles. These data offer greater knowledge and development in power consumption of electric vehicles and transportation sector.
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