考虑不确定性影响的微电网优化重构

考虑到微电网中分布式能源出力和负荷不确定性的影响,提出一种基于云理论的随机框架对其进行处理,利用云模型将微电网不确定性的模糊性和随机性转换为定量的形式。建立了以网络损失最小和供电质量最优为优化目标的微电网重构模型,同时利用一种基于模糊理论的综合评价方法对多目标函数进行了处理,并提出一种改进的大爆炸算法对模型进行求解。最后以33节点微电网标准模型作为案例研究,仿真结果证明了所提优化模型和算法的有效性及实用性。

Optimal Reconfiguration of Microgrid Considering the Impact of Uncertainty

Considering the impact of distributed energy generation and load uncertainty in micro-grid,a random framework based on cloud theory is put forward,and changes the fuzziness and randomness of uncertainty in microgrid into a quantitative form by using cloud model.Then,we establish the reconstruction model of micro-grid by using the optimization objectives of the minimum network loss and the optimal power supply quality.Besides,a fuzzy comprehensive evaluation method based on fuzzy theory is used to deal with the multi-objective function,and propose a correctional Big Bang-Big Crunch algorithm to solve the model.At last,a case study is carried out with the standard model of 33-bus micro-grid,the simulation results show that the proposed model and algorithm are effective and practical.