| 引用本文: | 孙惠娟,彭春华,袁义生.综合开关次数分析的配电网多目标动态重构[J].电力自动化设备,2014,34(9): |
| SUN Huijuan,PENG Chunhua,ＹＵＡＮ Ｙisheng.Multi-objective dynamic distribution network reconfiguration considering switching frequency[J].Electric Power Automation Equipment,2014,34(9): |
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| 摘要: |
| 为使得配电网重构更为合理而有效，提出一种配电网多目标动态重构新方法。以降低网损和减少开关操作次数为综合优化目标构建配电网多目标动态重构模型，采用基于图论中代数连通度的网络连通性判别方法快速消除无效解，采用基于独立环路的实数编码策略大幅降低变量维数。针对该复杂模型的求解，设计一种新型的复合型微分进化多目标优化算法，通过融合不同特点的变异策略，兼顾个体多样性和收敛速度，解决了群智能进化算法存在的寻优深度与速度之间的矛盾。最后以IEEE 33节点配电系统为例进行多目标动态重构，通过对求得的Pareto最优解集以及开关操作性价比进行分析，验证了该方法的有效性和优越性。 |
| 关键词: 配电 重构 动态重构 优化 复合微分进化 模型 |
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| 基金项目:国家自然科学基金资助项目（51167005）；教育部人文社科青年基金项目（14YJCZH135）；江西省科技支撑计划项目（20142BBE50001）；江西省教育厅科技基金资助项目（GJJ14386） |
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| Multi-objective dynamic distribution network reconfiguration considering switching frequency |
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SUN Huijuan, PENG Chunhua, ＹＵＡＮ Ｙisheng
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School of Electrical & Electronics Engineering，East China Jiaotong University，Nanchang 330013，China
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| Abstract: |
| A multi-objective dynamic distribution network reconfiguration method is proposed to improve its rationality and effectiveness. The reconfiguration model is built，which takes the minimum network loss and switching frequency as its comprehensive optimization objective. The network connectivity discrimination method based on the algebraic connectivity of graph theory is adopted to quickly eliminate the ineffective solutions. The real number coding strategy based on the independent loop is used to significantly reduce the variable dimension. For solving the complex model，an optimal，compound，multi-objective differential evolution algorithm is designed，which integrates different mutation strategies and considers both individual diversity and convergence speed to solve the contradiction of group smart evolution algorithm between the searching depth and optimization speed. As an example，the multi-objective dynamic reconfiguration of IEEE 33-bus distribution network is carried out. The optimal Pareto solution set obtained and the performance-cost ratio of switching operation are analyzed，which demonstrates the effectiveness and superiority of the proposed method. |
| Key words: electric power distribution reconfiguration dynamic reconfiguration optimization compound differential evolution models |
