Gaoya dianqi随着大量可再生能源接入配电网，由于其出力的不确定性，需要对配电网进行扩展规划。为此，首先提出一种基于卷积神经网络与长短期记忆网络方法预测风光荷出力，然后构建主动配电网双层扩展规划模型。上层规划模型，以年综合成本最低为优化目标，同时考虑线路的改造升级与各项成本。下层运行模型，以年综合运行成本最低与节点电压偏移量最小为优化目标，考虑运行状况、分布式电源与储能的规划。在经过上下层关联建模后，将双层模型转化为多目标优化问题，然后采用归一化法向约束法进行求解，以获得分布均匀的帕累托前沿 ...
朱夏, 陈颂, 袁明瀚, 刘扬洋
doaj
Gaoya dianqi针对可再生能源大规模并网带来的能源消纳需求，电制氢技术因其可将电能清洁高效地转换为氢能储存的特性，提供了一种有效的能源消纳方案。文中旨在研究考虑氢储能的多目标综合能源优化配置方案，首先提出包含可再生能源发电、电制氢、储能等环节的能源框架，进一步构建以投资成本低、可再生能源机组的弃风弃光量小和碳排放量低为目标的多目标调度模型，最后通过小生境粒子群算法在多个目标之间寻找最优解集。仿真结果表明，本方法可以得到系统投资成本低、可再生能源利用率高和碳排放量低的配置方案，以推动能源结构绿色转型。
孙靓雨, 林泽源, 李伟
doaj
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