Network voltage controller for distributed generation Export

@article{citeulike:2699606, abstract = {Present distribution network voltage design practice limits the distributed generation capacity that can be connected to 11 kV networks. It has been shown previously that adoption of a more active approach to network voltage control can significantly increase distributed generation capacity. One way to do this is to control the target voltage of automatic voltage control relays at primary substations. A basic design for a controller to do this has been created, comprising three algorithms. A statistical state estimation algorithm estimates the voltage magnitude at each network node supplied by the primary substation, using real-time measurements, network data and load data. The estimate accuracy depends on the number and placement of real-time measurements. Studies using an 11 kV feeder model showed that an acceptable accuracy could be obtained with one or two measurements. The state estimator uses pseudo measurements for unmeasured loads. A load model was constructed using load profiles to calculate the pseudo measurements. The calculated pseudo measurements were inaccurate, but it was found that acceptable state estimate accuracy could be obtained with inaccurate pseudo measurements. A control algorithm alters the AVC relay target voltage, based on the maximum and minimum node voltage magnitude estimates. A simulation on a four-feeder network showed that the algorithm enabled the generator power export to be more than doubled.}, author = {Hird, C. M. and Leite, H. and Jenkins, N. and Li, H.}, booktitle = {Generation, Transmission and Distribution, IEE Proceedings-}, citeulike-article-id = {2699606}, citeulike-linkout-0 = {http://dx.doi.org/10.1049/ip-gtd:20040083}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1281016}, day = {05}, doi = {10.1049/ip-gtd:20040083}, journal = {Generation, Transmission and Distribution, IEE Proceedings-}, keywords = {dezentral, netzwerk, regelung}, month = {April}, number = {2}, pages = {150--156}, posted-at = {2008-04-22 10:04:38}, priority = {2}, title = {Network voltage controller for distributed generation}, url = {http://dx.doi.org/10.1049/ip-gtd:20040083}, volume = {151}, year = {2004} }

TY - JOUR ID - citeulike:2699606 L3 - citeulike-article-id:2699606 N2 - Present distribution network voltage design practice limits the distributed generation capacity that can be connected to 11 kV networks. It has been shown previously that adoption of a more active approach to network voltage control can significantly increase distributed generation capacity. One way to do this is to control the target voltage of automatic voltage control relays at primary substations. A basic design for a controller to do this has been created, comprising three algorithms. A statistical state estimation algorithm estimates the voltage magnitude at each network node supplied by the primary substation, using real-time measurements, network data and load data. The estimate accuracy depends on the number and placement of real-time measurements. Studies using an 11 kV feeder model showed that an acceptable accuracy could be obtained with one or two measurements. The state estimator uses pseudo measurements for unmeasured loads. A load model was constructed using load profiles to calculate the pseudo measurements. The calculated pseudo measurements were inaccurate, but it was found that acceptable state estimate accuracy could be obtained with inaccurate pseudo measurements. A control algorithm alters the AVC relay target voltage, based on the maximum and minimum node voltage magnitude estimates. A simulation on a four-feeder network showed that the algorithm enabled the generator power export to be more than doubled. IS - 2 JF - Generation, Transmission and Distribution, IEE Proceedings- EP - 156 TI - Network voltage controller for distributed generation VL - 151 T2 - Generation, Transmission and Distribution, IEE Proceedings- SP - 150 KW - dezentral KW - netzwerk KW - regelung AU - Hird, CM AU - Leite, H AU - Jenkins, N AU - Li, H PY - 2004/04/05/ UR - http://dx.doi.org/10.1049/ip-gtd:20040083 ER -