Microgrids can effectively gather various renewable resources for increasing the profit of the system, as well as the trend toward improving energy efficiency and reducing greenhouse gas emissions. Nevertheless, the energy and reserve scheduling of microgrids will be significantly sophisticated due to the inherent uncertainty and variability of such resources. To address the operational challenges associated with these new technologies, this paper introduces an innovative stochastic cost-emission based scheme for optimal simultaneous energy and reserve scheduling of a renewable-based microgrid in the look-ahead energy market aimed at maximizing social welfare of microgrid as well as minimizing environmental emissions. Besides, the time of use program is accompanied by the model to optimize the procurement costs of the microgrid. The conditional value-at-risk method is also incorporated into the problem to hedge the microgrid in confronting the risk of exposure to the uncertainty. The proposed problem is formulated as a computationally efficient multi-objective mixed-integer linear programming through augmented epsilon-constraint technique and is solved using an off-the-shelf solver. Finally, a realistic case study with the integration of renewables and energy storage devices is conducted. The results evidenced that the proposed algorithm can properly immunize microgrid against uncertainties and participation of demand-side flexibility not only significantly reduces operational costs, but also changes the dispatching patterns of controllable distributed generations and prevents non-renewable resources to be stand-by only for providing reserve.

微电网可以有效地收集各种可再生资源，以增加系统的利润，以及提高能源效率和减少温室气体排放的趋势。但是，由于微电网的固有不确定性和可变性，其微电网的能源和储备调度将非常复杂。为了解决与这些新技术相关的运营挑战，本文介绍了一种创新的基于随机成本的方案，用于在超前能源市场中优化基于可再生能源的微电网同时进行的能量和储备调度，旨在最大程度地提高微电网的社会福利。以及最大程度地减少环境排放。此外，使用时间程序还附带有模型，以优化微电网的采购成本。有条件的风险价值方法也被合并到该问题中，以对冲微电网，以应对暴露于不确定性的风险。提出的问题通过增强的epsilon约束技术被公式化为计算有效的多目标混合整数线性规划，并使用现成的求解器解决。最后，结合可再生能源和储能设备进行了实际案例研究。结果表明，该算法可以使微电网免受不确定性的影响，需求侧灵活性的参与不仅可以显着降低运营成本，而且可以改变可控分布式发电的调度方式，并且可以防止不可再生资源仅用于备用状态。提供储备。