In this paper, transmission performances for MUMIMO (Multiuser Multiple Input Multiple Output) systems based on bd (Block Diagonalization) method in spatially correlated multipath fading environment are analyzed. The ...
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ISBN:
(纸本)9781479936892
In this paper, transmission performances for MUMIMO (Multiuser Multiple Input Multiple Output) systems based on bd (Block Diagonalization) method in spatially correlated multipath fading environment are analyzed. The MU-MIMO system for evaluation is constructed as a transmitter having 4 antennas and 2 receivers having 2 antennas. By using the bd algorithm, system performances for the 4x2x2 MU-MIMO system in spatially correlated multipath fading environment are simulated by the computer. In the computer simulation, we measured instantaneous received CINR (Carrier to Interference and Noise Ratio), BER (Bit Error Rate) performance and channel capacity. As compared to the i.i.d conditions, the results show that an instantaneous received CINR has about 3 dB degradation when spatially correlation is 0.5 and the instantaneous received CINR has about 7 dB degradation when it is 0.9. Moreover, BER performances have about 3 dB and 7 dB degradations with spatially correlations are 0.5 and 0.9, respectively. The channel capacity whose average CNR (Carrier to Noise Ratio) is 20 dB have about 3 bit/s/Hz and 8 bit/s/Hz degradation with spatially correlations are 0.5 and 0.9, respectively.
High penetrations of wind generation have intermittency and volatility issues in deregulated power system. With increasing penetration of wind power, independent system operator (ISO) faces an enormous challenge in se...
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High penetrations of wind generation have intermittency and volatility issues in deregulated power system. With increasing penetration of wind power, independent system operator (ISO) faces an enormous challenge in secure operation with intermittency and uncertainty of renewable energy resources. To handle these issues, battery energy storage system (BESS) is a probable solution for enhancing the wind penetration in the electric grid. In this regard, this article proposes a stochastic security constrained unit commitment (SCUC) with BESS considering wind uncertainty. The proposed approach is formulated and solved by Benders decomposition (bd) method which reduces computational time. The goal is to detect the optimal amount of SCUC, locational marginal price (LMP), wind curtailment, and line contingency by performing DC optimal power flow (DCOPF). Numerical case studies are investigated in detail using IEEE Reliability test system (RTS) 24-bus network and simulation results are found to be inspiring.
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