**基于双层规划模型的微网新能源经济消纳共享储能优化配置MATLAB代码复现**,基于新能源消纳的共享储能优化配置MATLAB代码复现与解析,(文章复现)考虑微网新能源经济消纳的共享储能优化配置mat
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**基于双层规划模型的微网新能源经济消纳共享储能优化配置MATLAB代码复现**,基于新能源消纳的共享储能优化配置MATLAB代码复现与解析,(文章复现)考虑微网新能源经济消纳的共享储能优化配置matlab代码参考资料《考虑微网新能源经济消纳的共享储能优化配置》提出了考虑新能源消纳的共享储能电站容量功率配置方法，针对储能电站投运成本最低与微能源网运行经济性最优的多目标，建立了双层规划模型其中外层模型求解电站配置问题，内层模型求解经济消纳率及微能源网优化运行问题，使用Karush-Kuhn-Tucker (KKT)法对模型转化求解。使用matlab+yalmip+gurobi进行求解代码逻辑清晰，注释详细本资源包含对文献的详细解读以及完整matlab代码复现,关键词：共享储能优化配置；新能源消纳；双层规划模型；KKT法；matlab代码复现；投运成本；微能源网运行经济性,《基于Matlab的微网新能源共享储能优化配置代码复现》 <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/90373125/2/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/90373125/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">**<span class="ff2">考虑微网新能源经济消纳的共享储能优化配置的<span class="_ _0"> </span></span>MATLAB<span class="_ _1"> </span><span class="ff2">代码复现</span>**</div><div class="t m0 x1 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">一<span class="ff3">、</span>引言</div><div class="t m0 x1 h2 y3 ff2 fs0 fc0 sc0 ls0 ws0">随着新能源的快速发展<span class="ff4">，</span>微网能源的配置和管理逐渐成为一个关键议题<span class="ff3">。</span>特别地<span class="ff4">，</span>如何考虑新能源的</div><div class="t m0 x1 h2 y4 ff2 fs0 fc0 sc0 ls0 ws0">经济消纳<span class="ff4">，</span>优化共享储能的配置显得尤为重要<span class="ff3">。</span>本篇文章旨在根据已发表的<span class="ff3">《</span>考虑微网新能源经济消</div><div class="t m0 x1 h2 y5 ff2 fs0 fc0 sc0 ls0 ws0">纳的共享储能优化配置<span class="ff3">》</span>一文<span class="ff4">，</span>对所提出的双层规划模型进行解读<span class="ff4">，</span>并复现其<span class="_ _0"> </span><span class="ff1">MATLAB<span class="_ _1"> </span></span>代码<span class="ff3">。</span></div><div class="t m0 x1 h2 y6 ff2 fs0 fc0 sc0 ls0 ws0">二<span class="ff3">、</span>模型解读</div><div class="t m0 x1 h2 y7 ff2 fs0 fc0 sc0 ls0 ws0">该模型针对新能源的消纳和共享储能电站的配置问题<span class="ff4">，</span>建立了双层规划模型<span class="ff3">。</span>外层模型主要解决电站</div><div class="t m0 x1 h2 y8 ff2 fs0 fc0 sc0 ls0 ws0">配置问题<span class="ff4">，</span>而内层模型则关注于经济消纳率及微能源网的优化运行问题<span class="ff3">。</span></div><div class="t m0 x1 h2 y9 ff2 fs0 fc0 sc0 ls0 ws0">三<span class="ff3">、<span class="ff1">MATLAB<span class="_ _1"> </span></span></span>代码复现</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">考虑到复现全文超出了这里的内容范畴<span class="ff4">，</span>我们将会先列举代码的主体结构以及关键的<span class="_ _0"> </span><span class="ff1">MATLAB<span class="_ _1"> </span></span>代码段</div><div class="t m0 x1 h2 yb ff4 fs0 fc0 sc0 ls0 ws0">，<span class="ff2">具体注释将在最后附上<span class="ff3">。</span></span></div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">首先需要引入所需的库<span class="ff4">：</span></div><div class="t m0 x1 h3 yd ff1 fs0 fc0 sc0 ls0 ws0">```matlab</div><div class="t m0 x1 h3 ye ff1 fs0 fc0 sc0 ls0 ws0">clear; clc;</div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">导入所需的<span class="_ _0"> </span></span>MATLAB<span class="_ _1"> </span><span class="ff2">工具箱库</span></div><div class="t m0 x1 h3 y10 ff1 fs0 fc0 sc0 ls0 ws0">```</div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">外层模型的配置问题可以使用如下伪代码描述<span class="ff4">（</span>实际中需使用<span class="_ _0"> </span><span class="ff1">yalmip<span class="_ _1"> </span></span>及<span class="_ _0"> </span><span class="ff1">gurobi<span class="_ _1"> </span></span>进行精确建模<span class="ff4">）：</span></div><div class="t m0 x1 h3 y12 ff1 fs0 fc0 sc0 ls0 ws0">```matlab</div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">外层模型</span> - <span class="ff2">电站配置问题</span></div><div class="t m0 x1 h3 y14 ff1 fs0 fc0 sc0 ls0 ws0">function out = outer_model(params)</div><div class="t m0 x2 h2 y15 ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">初始化参数及变量</span></div><div class="t m0 x2 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">% ... <span class="ff2">参数定义及变量初始化</span> ...</div><div class="t m0 x2 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">使用<span class="_ _0"> </span></span>KKT<span class="_ _1"> </span><span class="ff2">法转化并求解外层模型<span class="ff4">（</span>通过<span class="_ _0"> </span></span>yalmip<span class="_ _1"> </span><span class="ff2">及<span class="_ _0"> </span></span>gurobi<span class="ff4">）</span></div><div class="t m0 x2 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">% ... yalmip<span class="_ _1"> </span><span class="ff2">建模</span> ... <span class="ff2">调用<span class="_ _0"> </span></span>gurobi<span class="_ _1"> </span><span class="ff2">求解</span> ...</div><div class="t m0 x2 h2 y19 ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">输出结果</span></div><div class="t m0 x2 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">out = [...]; % <span class="ff2">输出电站配置结果等</span></div><div class="t m0 x1 h3 y1b ff1 fs0 fc0 sc0 ls0 ws0">end</div><div class="t m0 x1 h3 y1c ff1 fs0 fc0 sc0 ls0 ws0">```</div><div class="t m0 x1 h2 y1d ff2 fs0 fc0 sc0 ls0 ws0">内层模型的经济消纳率及微能源网优化运行问题可以使用如下伪代码描述<span class="ff4">：</span></div><div class="t m0 x1 h3 y1e ff1 fs0 fc0 sc0 ls0 ws0">```matlab</div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls0 ws0">% <span class="ff2">内层模型</span> - <span class="ff2">经济消纳率及微能源网优化运行问题</span></div><div class="t m0 x1 h3 y20 ff1 fs0 fc0 sc0 ls0 ws0">function [economic_consumption_rate, optimal_operation] = </div><div class="t m0 x1 h3 y21 ff1 fs0 fc0 sc0 ls0 ws0">inner_model(params)</div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>