Participation of nondispatchable renewable energy resources (RER) such as wind turbines (WT) and photovoltaic (PV) systems is one of the main challenges of these clean energy resources. Due to the uncertain nature of these resources, predictions of their amount of power in the day-ahead market is very difficult and associated with error. This paper introduces a novel model for the participation of the mentioned resource in the day-ahead power market based on error and economic loss minimization. An intra-market (IM) model was considered to update the predicted power of these resources before the planned time horizon. Furthermore, a new probabilistic forecasting model was proposed for uncertain parameters in both the day-ahead and intramarket. The mentioned model included an integrated system of renewable energy with another distributed generation, storage device, and demand response to compensate for all resource and load economic losses. By this approach, it can be claimed that, all microgrid participants i.e., load, producer and storage, have more profits in comparison with the power supply individually. To demonstrate the efficiency of the proposed model, we considered a test case that consisted of a wind turbine, PV, fuel cell, storage unit, and demand response, by taking into account the day-ahead, intra and unbalanced market. In this case study, daily, weekly, and monthly analyses were performed. The simulation results revealed the effectiveness and performance of the proposed modelling in comparison with other participation model.

诸如风力涡轮机（WT）和光伏（PV）系统之类的不可分配的可再生能源（RER）的参与是这些清洁能源的主要挑战之一。由于这些资源的不确定性，要在日间市场中预测其电量非常困难，并且会带来误差。本文介绍了一种基于误差和经济损失最小化的新型资源参与日间电力市场的模型。考虑使用市场内（IM）模型在计划的时间范围之前更新这些资源的预测能力。此外，针对日前和市场内的不确定参数，提出了一种新的概率预测模型。提到的模型包括一个可再生能源与另一个分布式发电的集成系统，存储设备和需求响应，以补偿所有资源和负载的经济损失。通过这种方法，可以说所有微电网参与者，即负载，生产者和存储者，与单独的电源相比，都有更多的利润。为了证明所提出模型的效率，我们考虑了日前，内部和不平衡的市场，考虑了一个由风力涡轮机，光伏，燃料电池，存储单元和需求响应组成的测试案例。在本案例研究中，每天，每周和每月进行分析。仿真结果表明，与其他参与模型相比，该模型的有效性和性能。与单独的电源相比，所有微电网参与者（即负载，生产者和存储者）都有更多的利润。为了证明所提出模型的效率，我们考虑了日前，内部和不平衡的市场，考虑了一个由风力涡轮机，光伏，燃料电池，存储单元和需求响应组成的测试案例。在本案例研究中，每天，每周和每月进行分析。仿真结果表明，与其他参与模型相比，该模型的有效性和性能。与单独的电源相比，所有微电网参与者，例如负载，生产者和存储者，都有更多的利润。为了证明所提出模型的效率，我们考虑了日前，内部和不平衡的市场，考虑了一个由风力涡轮机，光伏，燃料电池，存储单元和需求响应组成的测试案例。在本案例研究中，每天，每周和每月进行分析。仿真结果表明，与其他参与模型相比，该模型的有效性和性能。考虑到日前，内部和不平衡的市场。在本案例研究中，每天，每周和每月进行分析。仿真结果表明，与其他参与模型相比，该模型的有效性和性能。考虑到日前，内部和不平衡的市场。在本案例研究中，每天，每周和每月进行分析。仿真结果表明，与其他参与模型相比，该模型的有效性和性能。