The incorporation of renewables and communication technologies to the utility paves a way for self-sustained microgrids (MG). The volatile nature of these resources, uncertainties associated with the time-varying load, and market prices impose the significance of an efficient energy management system (EMS). So far, the MG optimal operation has been referred to optimize the operating costs only. However, the prospects of incorporating demand-side management (DSM) with the EMS problem and its effect on total operating cost and peak reduction is needed to be evaluated. To fill this gap, the impact of utility induced flexible load shaping strategy on non-dispatchable energy sources is investigated in this paper. A three-stage stochastic EMS framework is proposed for solving optimal day-ahead scheduling and minimizing the operational cost of grid-connected MG. In the first stage, four possible scenarios for solar and wind power generation profiles are created to address the uncertainty problem by considering real-time meteorological data. The second stage deals with the MG system configuration, operational constraints, and assigning DSM load participation data to be incorporated with the objective function. In this regard, the Quantum Particle Swarm Optimization is devised at stage three to obtain the optimal power dispatch configuration for DG units, maximizing the power export to the utility and compare the results with and without incorporating DSM participation for all scenarios. The obtained simulation results show the competence of the proposed stochastic framework about cost reduction by 43.81% with the implementation of the load participation level of 20% DSM.

将可再生能源和通讯技术并入公用事业为自持微电网（MG）铺平了道路。这些资源的易变性，随时间变化的负荷带来的不确定性以及市场价格，都赋予了高效能源管理系统（EMS）重要性。到目前为止，仅将MG优化操作用于优化操作成本。但是，需要评估将需求侧管理（DSM）与EMS问题相结合的前景及其对总运营成本和降低峰值的影响。为了填补这一空白，本文研究了公用事业诱导的灵活负载整形策略对不可调度能源的影响。提出了一种三阶段随机EMS框架，用于解决最优的日前调度问题，并最大程度地降低了并网MG的运营成本。在第一阶段，针对太阳能和风力发电概况创建了四种可能的方案，以通过考虑实时气象数据来解决不确定性问题。第二阶段处理MG系统配置，操作约束以及分配DSM负载参与数据以与目标功能合并。在这方面，在第三阶段设计了量子粒子群优化算法，以获得DG单元的最佳功率分配配置，最大程度地提高了向公用事业部门的功率输出，并比较了是否包含DSM参与所有方案的结果。