基于改进遗传算法的含DG中压配电网时序无功优化程序，调控主变抽头、并联电容器与光伏逆变器无功出力,基于改进遗传算法的含DG中压配电网时序无功优化程序，调控主变抽头、并联电容器与光伏逆变器无功出力,含D
资源内容介绍
基于改进遗传算法的含DG中压配电网时序无功优化程序，调控主变抽头、并联电容器与光伏逆变器无功出力,基于改进遗传算法的含DG中压配电网时序无功优化程序，调控主变抽头、并联电容器与光伏逆变器无功出力,含DG的配电网时序无功优化程序%程序名称： 基于IGA的中压配电网电压调控优化主程序%程序方法：1、改进遗传算法%程序对象：含DG下中压配电网电压调控%优化对象：1.主变抽头档位% 2.并联电容器组数% 3.光伏可调无功出力%决策变量：主变抽头档位--并联电容器组数)---光伏逆变器无功出力,关键词：DG配电网；时序无功优化；IGA算法；主变抽头档位；并联电容器组数；光伏可调无功出力；电压调控优化。,含DG配电网时序无功优化主程序：基于改进遗传算法的中压电压调控程序 <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/90426213/2/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/90426213/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">基于<span class="_ _0"> </span><span class="ff2">IGA<span class="_ _0"> </span></span>的中压配电网含<span class="_ _0"> </span><span class="ff2">DG<span class="_ _0"> </span></span>时序无功优化程序</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">一、程序名称及方法</div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">程序名称：基于改进遗传算法的中压配电网电压调控优化主程序</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">程序方法<span class="_ _1"></span>：<span class="_ _1"></span>本程序采用改进遗传算法（<span class="ff2">IGA</span>）对含分布式发电（<span class="ff2">DG</span>）的中压配电网进行时序</div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">无功优化。</div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls0 ws0">二、程序对象及优化对象</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">程序对象<span class="_ _2"></span>：<span class="_ _2"></span>本程序针对含<span class="_ _0"> </span><span class="ff2">DG<span class="_ _0"> </span></span>的中压配电网进行电压调控，通过优化相关参数实现配电网的</div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">无功优化。</div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">优化对象：</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">1. <span class="_ _0"> </span><span class="ff1">主变抽头档位<span class="_ _3"></span>：主变压<span class="_ _3"></span>器是电力<span class="_ _3"></span>系统中<span class="_ _3"></span>的重要设<span class="_ _3"></span>备，其抽<span class="_ _3"></span>头档位直<span class="_ _3"></span>接影响系<span class="_ _3"></span>统电压水<span class="_ _3"></span>平，</span></div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls0 ws0">因此是本程序的重要优化对象。</div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">2. <span class="_ _0"> </span><span class="ff1">并联电容器<span class="_ _3"></span>组数：并<span class="_ _3"></span>联电容器<span class="_ _3"></span>是电力系<span class="_ _3"></span>统中的无<span class="_ _3"></span>功补偿设<span class="_ _3"></span>备，通过<span class="_ _3"></span>调整其组<span class="_ _3"></span>数可以<span class="_ _3"></span>有效</span></div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls0 ws0">地调节系统无功功率，提高系统电压质量。</div><div class="t m0 x1 h2 ye ff2 fs0 fc0 sc0 ls0 ws0">3. <span class="_ _0"> </span><span class="ff1">光伏可<span class="_ _3"></span>调无功<span class="_ _3"></span>出力：<span class="_ _3"></span>在含<span class="_ _4"> </span></span>DG<span class="_"> </span><span class="ff1">的配电网<span class="_ _3"></span>中，<span class="_ _3"></span>光伏发<span class="_ _3"></span>电设<span class="_ _3"></span>备也具<span class="_ _3"></span>有调节<span class="_ _3"></span>无功<span class="_ _3"></span>出力的<span class="_ _3"></span>能力<span class="_ _3"></span>，</span></div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls0 ws0">因此也是本程序的重要优化对象。</div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">三、决策变量</div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls0 ws0">本程序的决策变量为主变抽头档位、<span class="_ _5"></span>并联电容器组数以及光伏逆变器无功出力。<span class="_ _5"></span>这些变量的</div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls0 ws0">合理配置将直接影响配电网的电压质量和无功功率平衡。</div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">四、程序流程</div><div class="t m0 x1 h2 y14 ff2 fs0 fc0 sc0 ls0 ws0">1. <span class="_ _0"> </span><span class="ff1">数据采集：首<span class="_ _3"></span>先，程序<span class="_ _3"></span>需要采集<span class="_ _3"></span>配电网<span class="_ _3"></span>的实时数<span class="_ _3"></span>据，包括<span class="_ _3"></span>各节点的<span class="_ _3"></span>电压、电<span class="_ _3"></span>流、功率<span class="_ _3"></span>等。</span></div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">2. <span class="_ _0"> </span><span class="ff1">初始化：根<span class="_ _3"></span>据采集的<span class="_ _3"></span>数据，初<span class="_ _3"></span>始化主变<span class="_ _3"></span>抽头档位<span class="_ _3"></span>、并联电<span class="_ _3"></span>容器组数<span class="_ _3"></span>以及光伏<span class="_ _3"></span>逆变器<span class="_ _3"></span>无功</span></div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">出力的范围。</div><div class="t m0 x1 h2 y17 ff2 fs0 fc0 sc0 ls0 ws0">3. <span class="_ _0"> </span><span class="ff1">编码与解码<span class="_ _3"></span>：将决策<span class="_ _3"></span>变量进行<span class="_ _3"></span>编码，以<span class="_ _3"></span>便于遗传<span class="_ _3"></span>算法的操<span class="_ _3"></span>作。解码<span class="_ _3"></span>则是将遗<span class="_ _3"></span>传算法<span class="_ _3"></span>得到</span></div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">的解转换为实际的决策变量。</div><div class="t m0 x1 h2 y19 ff2 fs0 fc0 sc0 ls0 ws0">4. <span class="_ _0"> </span><span class="ff1">适应度函数<span class="_ _3"></span>设计：根<span class="_ _3"></span>据配电网<span class="_ _3"></span>的电压质<span class="_ _3"></span>量和无功<span class="_ _3"></span>功率平衡<span class="_ _3"></span>要求，设<span class="_ _3"></span>计适应度<span class="_ _3"></span>函数。<span class="_ _3"></span>适应</span></div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">度函数将用于评估解的优劣。</div><div class="t m0 x1 h2 y1b ff2 fs0 fc0 sc0 ls0 ws0">5. <span class="_ _6"> </span><span class="ff1">遗传算法操作：运用改进遗传算法对决策变量进行优化，得到最优的配置方案。</span></div><div class="t m0 x1 h2 y1c ff2 fs0 fc0 sc0 ls0 ws0">6. <span class="_ _6"> </span><span class="ff1">结果输出：将最优的配置方案输出，供运行人员参考或直接应用于配电网中。</span></div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls0 ws0">五、总结</div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls0 ws0">本程序基于改进遗传算法，<span class="_ _2"></span>对含<span class="_ _0"> </span><span class="ff2">DG<span class="_ _6"> </span></span>的中压配电网进行时序无功优化。<span class="_ _2"></span>通过优化主变抽头档</div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls0 ws0">位、<span class="_ _2"></span>并联电容器组数以及光伏逆变器无功出力等决策变量，<span class="_ _2"></span>实现配电网的无功优化，<span class="_ _2"></span>提高系</div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div>