计及模糊随机性的主动配电网分布式电源规划模型

随着分布式电源（distributed generation，DG）大规模接入，电源规划与网架结构不匹配问题开始引起人们的关注与思考。因此，文章从DG最优配置的角度出发，同时考虑网架结构优化，建立了计及模糊随机性的主动配电网DG规划模型。首先针对DG接入给配电网引入的强不确定问题，提出一种计及DG出力模糊随机性的典型日场景生成方法，提高模型的精度和准确性。然后，分别以DG供应商年收益最大和配电公司年网损费用最低为上、下层的目标函数，构建主动配电网双层DG规划模型。为促进DG的消纳，上层模型还考虑了储能的协调优化过程。最后，基于改进的IEEE-33节点系统，采用GAMS-DICOPT求解器和自适应权重离散粒子群算法对规划模型求解，验证了模型的有效性。算例结果表明，通过DG的合理配置与网架结构优化，能够实现多利益主体的共赢，并促进DG的消纳。

Distribution Planning Model in Active Distribution Network Considering Fuzziness and Randomness

With large-scale DG accessing into the power system， the mismatch between generation planning and grid structure has aroused people's concern and thinking. Therefore， from the view of the optimal allocation of DG and considering the optimization of grid structure， a DG planning model of active distribution network with fuzziness and randomness is established. Firstly， strong uncertainty introduced by DG， a typical day scene method， which takes into account the fuzziness and randomness of distributed generation output， is proposed to improve the accuracy of the model. Then， the bi-level DG planning model of the active distribution network is constructed with the maximum annual income of the DG suppliers and the minimum annual network loss cost of the distribution company. In addition， in order to promote the consumption of DG， the upper model also considers coordinated optimization process of energy storage system. Finally， on the basis of the improved IEEE 33-node system， the GAMS-DICOPT solver and discrete particle swarm optimization algorithm with adaptive weight are used to solve the planning model， and the validity of the model is verified. The result shows that through the rational allocation of DG and the optimization of grid structure， the multi-stakeholder's win-win situation can be realized and the consumption of DG will be promoted at the same time.