基于MPC模型预测控制的风电与储能调频策略：频率特性仿真对比与实时出力优化,基于MPC模型预测控制的风电与储能调频策略：频率特性仿真与实际对比研究,【原1800，带参考资料】MPC模型预测控制，风电调
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基于MPC模型预测控制的风电与储能调频策略：频率特性仿真对比与实时出力优化,基于MPC模型预测控制的风电与储能调频策略：频率特性仿真与实际对比研究,【原1800，带参考资料】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 ,MPC模型预测控制; 风电调频; 风储调频; 实时改变出力; 仿真对比; MPC预测频率接近实际仿真频率; 优越性。,基于MPC预测控制的改进风电调频技术：复现EI文献的调频研究与实践 <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/90401316/2/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/90401316/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领域的应用</span></div><div class="t m0 x1 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">摘要<span class="ff3">：</span></div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">模型预测控制<span class="ff3">（</span></span>Model Predictive Control<span class="ff3">）<span class="ff2">通过预测系统行为并优化控制策略</span>，<span class="ff2">被广泛应</span></span></div><div class="t m0 x1 h2 y4 ff2 fs0 fc0 sc0 ls0 ws0">用于风电调频和风储调频系统中<span class="ff4">。</span>本文针对这一问题<span class="ff3">，</span>并结合文献中的研究成果进行了仿真分析和对</div><div class="t m0 x1 h2 y5 ff2 fs0 fc0 sc0 ls0 ws0">比实验<span class="ff4">。</span>通过<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制预测频率变化<span class="ff3">，</span>实时改变风电出力<span class="ff3">，</span>提高了风储调频系统的性能<span class="ff4">。</span>仿真结果显</div><div class="t m0 x1 h2 y6 ff2 fs0 fc0 sc0 ls0 ws0">示<span class="ff3">，<span class="ff1">MPC<span class="_ _0"> </span></span></span>预测的频率接近实际仿真频率<span class="ff3">，</span>证明了<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>的优越性<span class="ff4">。</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">随着可再生能源的迅速发展<span class="ff3">，</span>风电成为了最重要的清洁能源之一<span class="ff4">。</span>然而<span class="ff3">，</span>风电的波动性给电网的稳定</div><div class="t m0 x1 h2 y9 ff2 fs0 fc0 sc0 ls0 ws0">性和可靠性带来了很大挑战<span class="ff4">。</span>为了解决这一问题<span class="ff3">，</span>风储调频技术应运而生<span class="ff4">。</span>风储调频通过将风储系统</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">与电力系统相结合<span class="ff3">，</span>调整风电出力以平衡电网需求和供给<span class="ff4">。</span></div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span><span class="ff2">风储调频基础</span></div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">风储调频基础上加入<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制<span class="ff3">，</span>提高了系统的响应速度和稳定性<span class="ff4">。</span>由于<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>的特性<span class="ff3">，</span>它可以预测频</div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0">率变化<span class="ff3">，</span>并根据此预测结果调整风电出力<span class="ff3">，</span>实现实时调频<span class="ff4">。</span></div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls0 ws0">3.<span class="_ _2"> </span>MPC<span class="_ _0"> </span><span class="ff2">模型预测控制</span></div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="_ _0"> </span><span class="ff2">模型预测控制是一种优化控制方法<span class="ff3">，</span>它通过建立数学模型<span class="ff3">，</span>并在未来预测的时间段内优化控制策</span></div><div class="t m0 x1 h2 y10 ff2 fs0 fc0 sc0 ls0 ws0">略<span class="ff3">，</span>使系统达到最优的性能<span class="ff4">。</span>在风储调频系统中<span class="ff3">，<span class="ff1">MPC<span class="_ _0"> </span></span></span>可以通过预测系统的频率变化<span class="ff3">，</span>以及风电出力</div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">和储能出力之间的关系<span class="ff3">，</span>实时调整风电出力<span class="ff4">。</span>在仿真研究中<span class="ff3">，</span>我们比较了使用<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>控制和不使用<span class="_ _1"> </span><span class="ff1">MPC</span></div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">控制的风储调频系统的频率特性和风电出力变化情况<span class="ff4">。</span></div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">4.<span class="_ _2"> </span><span class="ff2">仿真与实验结果</span></div><div class="t m0 x1 h2 y14 ff2 fs0 fc0 sc0 ls0 ws0">在仿真与实验中<span class="ff3">，</span>我们分别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>以及风电出力和储能出力的</div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">变化情况<span class="ff4">。</span>仿真结果表明<span class="ff3">，<span class="ff1">MPC<span class="_ _0"> </span></span></span>预测的频率接近实际仿真频率<span class="ff3">，</span>证明了<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>的优越性<span class="ff4">。</span>根据<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>预</div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls0 ws0">测的频率变化<span class="ff3">，</span>风电出力可以实时调整<span class="ff3">，</span>提高了风储调频系统的稳定性和可靠性<span class="ff4">。</span></div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">5.<span class="_ _2"> </span><span class="ff2">结论</span></div><div class="t m0 x1 h2 y18 ff2 fs0 fc0 sc0 ls0 ws0">本文通过对<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>模型预测控制在风电调频和风储调频领域的应用进行研究<span class="ff3">，</span>发现<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>可以通过预测</div><div class="t m0 x1 h2 y19 ff2 fs0 fc0 sc0 ls0 ws0">频率变化并实时调整风电出力<span class="ff3">，</span>提高了风储调频系统的性能<span class="ff4">。</span>仿真结果表明<span class="ff3">，<span class="ff1">MPC<span class="_ _0"> </span></span></span>预测的频率接近实</div><div class="t m0 x1 h2 y1a ff2 fs0 fc0 sc0 ls0 ws0">际仿真频率<span class="ff3">，</span>证明了<span class="_ _1"> </span><span class="ff1">MPC<span class="_ _0"> </span></span>的优越性<span class="ff4">。</span>然而<span class="ff3">，</span>本研究仍有一些局限性<span class="ff3">，</span>需要进一步研究和改进<span class="ff4">。</span></div><div class="t m0 x1 h2 y1b ff2 fs0 fc0 sc0 ls0 ws0">参考文献<span class="ff3">：</span></div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls0 ws0">[1] <span class="ff2">论文<span class="_ _1"> </span></span>1</div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls0 ws0">[2] <span class="ff2">论文<span class="_ _1"> </span></span>2</div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls0 ws0">[3] <span class="ff2">论文<span class="_ _1"> </span></span>3</div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>