MPC模型预测控制，风电调频，风储调频 在风储调频基础上加了MPC控制，复现的EI文献 MPC控制预测频率变化，进而改变风电
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MPC模型预测控制，风电调频，风储调频。在风储调频基础上加了MPC控制，复现的EI文献。MPC控制预测频率变化，进而改变风电出力。实时改变风电出力调频。创新就是， 仿真对比了实际仿真和在MPC控制下的频率特性，风电出力和储能出力可以根据MPC频率或者仿真频率实时改变 Mpc预测频率接近实际仿真频率，这就体现了mpc的优越性。进而根据mpc预测的频率改变风电出力 <link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89738580/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89738580/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">模型预测控制在风电调频和风储调频中的应用</span></div><div class="t m0 x1 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">摘要<span class="ff3">：</span>随着可再生能源的快速发展<span class="ff3">，</span>风电成为了主要的清洁能源之一<span class="ff4">。</span>然而<span class="ff3">，</span>由于风力资源的波动性</div><div class="t m0 x1 h2 y3 ff2 fs0 fc0 sc0 ls0 ws0">和不可预测性<span class="ff3">，</span>风电系统的调频问题成为了一个重要的挑战<span class="ff4">。</span>为了解决这个问题<span class="ff3">，</span>本文基于<span class="_ _1"> </span><span class="ff1">MPC<span class="ff3">（</span></span>模</div><div class="t m0 x1 h2 y4 ff2 fs0 fc0 sc0 ls0 ws0">型预测控制<span class="ff3">）</span>方法<span class="ff3">，</span>将其应用于风电调频和风储调频中<span class="ff3">，</span>通过预测风电系统的频率变化来改变风电出</div><div class="t m0 x1 h2 y5 ff2 fs0 fc0 sc0 ls0 ws0">力<span class="ff3">，</span>以实现实时调频控制<span class="ff4">。</span>本文通过仿真实验对比了实际仿真和在<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制下的频率特性<span class="ff3">，</span>验证了</div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">方法在风电调频中的优越性<span class="ff4">。</span></span></div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">1.<span class="_ _2"> </span><span class="ff2">引言</span></div><div class="t m0 x1 h2 y8 ff2 fs0 fc0 sc0 ls0 ws0">随着可再生能源的广泛使用<span class="ff3">，</span>风电成为了清洁能源领域的重要组成部分<span class="ff4">。</span>然而<span class="ff3">，</span>由于风力资源的不稳</div><div class="t m0 x1 h2 y9 ff2 fs0 fc0 sc0 ls0 ws0">定性和波动性<span class="ff3">，</span>风电系统的频率调节问题成为了一个亟待解决的难题<span class="ff4">。</span>传统的调频方法往往不能满足</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">实时的调控需求<span class="ff3">，</span>而<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>方法则凭借其优越的预测性能和鲁棒性成为了一种较为理想的解决方案<span class="ff4">。</span></div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span>MPC<span class="_ _0"> </span><span class="ff2">模型预测控制概述</span></div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">是一种基于模型的控制方法<span class="ff3">，</span>通过建立系统的数学模型<span class="ff3">，</span>对未来一段时间的系统行为进行预测<span class="ff3">，</span></span></div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0">并制定合理的控制策略<span class="ff4">。<span class="ff1">MPC<span class="_ _0"> </span></span></span>方法包括预测模型<span class="ff4">、</span>优化问题和约束条件三个关键要素<span class="ff4">。</span>在风电调频中</div><div class="t m0 x1 h2 ye ff3 fs0 fc0 sc0 ls0 ws0">，<span class="ff1">MPC<span class="_ _0"> </span><span class="ff2">方法可以通过建立风电系统的数学模型</span></span>，<span class="ff2">预测风电系统的频率变化</span>，<span class="ff2">并通过优化算法生成合适</span></div><div class="t m0 x1 h2 yf ff2 fs0 fc0 sc0 ls0 ws0">的调控策略<span class="ff4">。</span></div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">3.<span class="_ _2"> </span><span class="ff2">风储调频基础上的<span class="_ _1"> </span></span>MPC<span class="_ _0"> </span><span class="ff2">控制</span></div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">在传统的风储调频系统中<span class="ff3">，</span>通过储能装置的能量存储和释放来实现对系统频率的调节<span class="ff4">。</span>然而<span class="ff3">，</span>传统方</div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">法往往无法满足实时的调节需求<span class="ff4">。</span>为了改进这一问题<span class="ff3">，</span>本文在风储调频系统中加入了<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制方法<span class="ff3">，</span></div><div class="t m0 x1 h2 y13 ff2 fs0 fc0 sc0 ls0 ws0">并对其进行了复现<span class="ff4">。</span></div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls0 ws0">4.<span class="_ _2"> </span><span class="ff2">风电出力的实时调频控制</span></div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">控制方法通过预测风电系统的频率变化<span class="ff3">，</span>进而改变风电出力<span class="ff3">，</span>从而实现实时调频控制<span class="ff4">。</span>与传统的</span></div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls0 ws0">调频方法相比<span class="ff3">，<span class="ff1">MPC<span class="_ _0"> </span></span></span>方法可以更准确地预测频率变化<span class="ff3">，</span>实现更精确的调节<span class="ff4">。</span>本文通过仿真实验对比了</div><div class="t m0 x1 h2 y17 ff2 fs0 fc0 sc0 ls0 ws0">实际仿真和在<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制下的频率特性<span class="ff3">，</span>结果显示<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>方法能够更接近实际仿真频率<span class="ff3">，</span>从而体现了其</div><div class="t m0 x1 h2 y18 ff2 fs0 fc0 sc0 ls0 ws0">优越性<span class="ff4">。</span></div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls0 ws0">5.<span class="_ _2"> </span><span class="ff2">创新与应用价值</span></div><div class="t m0 x1 h2 y1a ff2 fs0 fc0 sc0 ls0 ws0">本文通过将<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制方法应用于风电调频和风储调频中<span class="ff3">，</span>实现了实时的频率调节控制<span class="ff4">。</span>通过仿真实验</div><div class="t m0 x1 h2 y1b ff3 fs0 fc0 sc0 ls0 ws0">，<span class="ff2">验证了<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>方法在风电调频中的优越性<span class="ff4">。</span>这一研究结果对于提高风电系统的调节性能</span>，<span class="ff2">优化清洁能</span></div><div class="t m0 x1 h2 y1c ff2 fs0 fc0 sc0 ls0 ws0">源的利用具有重要意义<span class="ff4">。</span></div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls0 ws0">6.<span class="_ _2"> </span><span class="ff2">总结与展望</span></div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>