Description: Optimisation of the pilot-to-data power ratio in the wireless MIMO-OFDM
system with low-complexity MMSE channel estimation-Optimisation of the pilot-to-data power ratio in the wireless MIMO-OFDMsystem with low-complexity MMSE channel estimation Platform: |
Size: 608256 |
Author:何灵 |
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Description: 无功优化IEEE论文With the increased loading of existing power system, the problem of voltage stability
and voltage collapse has become a major concern in power system planning and operation. The
dependence of the system voltage profile on reactive power distribution forms the basis for reactive
power optimisation. The technique attempts to utilises fully the reactive power sources in the
system to improve the voltage profile and also to meet the reactive power requirements at the
AC–DC terminals to facilitate the smooth operation of DC links. The method involves successive
solution of steady-state power flows and optimisation of reactive power control variables with
unified power flow controllers using linear programming technique. The proposed method has-With the increased loading of existing power system, the problem of voltage stability
and voltage collapse has become a major concern in power system planning and operation. The
dependence of the system voltage profile on reactive power distribution forms the basis for reactive
power optimisation. The technique attempts to utilises fully the reactive power sources in the
system to improve the voltage profile and also to meet the reactive power requirements at the
AC–DC terminals to facilitate the smooth operation of DC links. The method involves successive
solution of steady-state power flows and optimisation of reactive power control variables with
unified power flow controllers using linear programming technique. The proposed method has
been tested on a real life equivalent 96-bus AC and a two terminal DC system. Platform: |
Size: 470016 |
Author:liuzhaohua |
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Description: that monitor certain conditions in different locations and transfer data
through a network to an endpoint called base station. Because WSN nodes are
often deployed outdoors where a direct power outlet may not be available, energy
efficiency becomes a key factor in the design of WSNs. This work proposes an
antenna transmission power optimisation algorithm (TPOA) which dynamically
adjusts the power level of the transmission according to the last received signal
strength indicator (RSSI). The mechanism was implemented and tested on an
XbeeWSNthat uses a modifiedMixed Hop and signalReceived routing for mobile
Wireless Sensor Networks (MHRWSN) protocol. The energy consumption results
have shown that the proposed system can save as much as 76% of power in Tx
operations while maintaining a packet reception rate of above 85% Platform: |
Size: 1959880 |
Author:elmustafasayed@gmail.com |
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Search - power system optimisation