In this paper, a new approach for the optimal and simultaneous allocation of clean and renewable energy resources as photovoltaic panels and wind turbines and reconfiguration in radial distribution networks is presented with the aim of minimizing the cost of power losses and increasing of reliability considering generation and load the uncertainty using a new approach named information gap decision theory (IGDT) with risk aversion strategy. Decision variables include the maximum uncertainty radius of generation and load, location and size of renewable resources as well as opened network lines that are determined by satisfying the operating and radiality constraints using improved salp swarm algorithm (ISSA) based on differential evolutionary (DE) operators. The problem is implemented as deterministic and IGDT-based methods on 33 and 69 bus networks. The results indicate that the scenario of wind turbine allocation and reconfiguration in the networks simultaneously is the best scenario with the lowest cost of losses and reliability and reconfiguration only scenario is the weakest scenario with the highest cost in the deterministic and the IGDT methods. The results also showed load increasing and clean production decreasing equal to 7.58% and 34.57% for 33 bus and 4.66% and 39.88% for 69 bus network using IGDT based risk aversion for 20% uncertainty budget. The results cleared that in IGDT, the percentage of changes in the uncertain parameters is clearly and simply obtained and the network operator is able to make robust and risk aversion decision according to existing the uncertainties unlike random methods based the Monte Carlo Simulation that the results depend on the definition of the large samples.

在本文中，提出了一种新的方法来优化和同时分配清洁和可再生能源资源，如光伏板和风力涡轮机，以及在径向配电网中进行重新配置，目的是最大程度地降低功率损耗的成本，并考虑到发电和供电而提高可靠性。使用名为信息缺口决策理论（IGDT）和风险规避策略的新方法来加载不确定性。决策变量包括发电和负荷的最大不确定半径，可再生资源的位置和大小以及开放的网络线路，这些网络线路是通过使用基于差分进化（DE）算子的改进的Salp群算法（ISSA）满足运行和径向约束来确定的。该问题在33和69总线网络上以确定性和基于IGDT的方法实现。结果表明，在确定性方法和IGDT方法中，同时在网络中进行风力涡轮机分配和重新配置的场景是损失和可靠性成本最低的最佳场景，而仅重新配置的场景是成本最高的最弱场景。结果还显示，使用基于IGDT的风险规避（不确定性预算为20％）时，33辆公交车的负荷增加且清洁生产下降分别为7.58％和34.57％，69辆公交车网络的4.66％和39.88％。结果表明，在IGDT中，