The increase in energy demand and the effect of traditional energy generation supported by the penetration of technological advancements in renewable energy generation calls for an integrated power distribution network design. In this study, a power distribution network design with the establishment of distributed renewable energy resources and involvement of prosumers in energy system to generate, buy, and supply carbon-free energy is considered. The dynamic prices that cope with the dynamic demand of both prosumers and customers over the energy planning time horizon and the buy-back price to be paid to the prosumers are also considered. A mathematical model for power distribution network design, including carbon trading and a buy-back policy, was developed. The objective is to determine the generation capacity of the distributed renewable energy resources to be installed at different potential sites, the differential prices offered to prosumers and consumers, and the buy-back price while maximizing the profit of a power plant. A scenario-based stochastic solution approach and fuzzifying fuzzy parameters are provided to address the above problem. The results show that the power plant earns the most profit at a relation factor of 0.8 between the differential prices by offering the highest buy-back price to incentivize the prosumers. With the increase in the relation factor, the net profit of the power company decreases, but the buy-back price increases, while the dynamic prices remain unpredictable. The average buy-back price offered to prosumers was 62.4% of the average selling price.

随着可再生能源发电技术进步的渗透，能源需求的增加和传统能源发电的影响需要集成配电网络设计。在这项研究中，考虑了一种配电网络设计，即建立分布式可再生能源资源并让产消者参与能源系统以产生、购买和供应无碳能源。还考虑了在能源规划时间范围内应对产消者和客户的动态需求的动态价格以及支付给产消者的回购价格。开发了配电网络设计的数学模型，包括碳交易和回购政策。目标是确定在不同潜在地点安装的分布式可再生能源的发电能力、提供给生产者和消费者的不同价格以及回购价格，同时使发电厂的利润最大化。提供了一种基于场景的随机求解方法和模糊化模糊参数来解决上述问题。结果表明，发电厂通过提供最高的回购价格来激励产消者，在差价之间的关系因子为 0.8 时获得了最大的利润。随着关联因子的增加，电力公司净利润减少，但回购价格上涨，而动态价格仍难以预测。向产消者提供的平均回购价格是平均售价的 62.4%。