The increasing penetration of distributed energy resources in the distribution grid is producing an ever-heightening interest in the use of the flexibility on offer by said distributed resources as an enhancement for the distribution grid operator. This paper proposes an optimization problem which enables satisfaction of distribution system operator requests on flexibility. This is a decision-making problem for a new aggregator type called Smart Energy Service Provider (SESP) to schedule flexible energy resources. This aggregator operates a local electricity market with high penetration of distributed energy resources. The optimization operation problem of SESP is formulated as an MILP problem and its performance has been tested by means of the simulation of test cases in a local market. The novel problem has also been validated in a microgrid laboratory with emulated loads and generation units. The performed tests produced positive results and proved the effectiveness of the proposed solution.

分布式能源在配电网中的渗透率不断提高，引起了人们越来越高的兴趣，即利用所述分布式资源所提供的灵活性来增强配电网运营商的利益。本文提出了一个优化问题，该问题可以使配电系统操作员满足灵活性要求。对于称为智能能源服务提供商（SESP）的新型聚合器来调度灵活的能源资源，这是一个决策问题。该聚合器在本地电力市场中运作，具有很高的分布式能源资源渗透率。SESP的优化操作问题被表述为MILP问题，其性能已通过在本地市场上测试案例的仿真进行了测试。这个新问题也已经在带有模拟负载和发电单元的微电网实验室中得到了验证。进行的测试产生了积极的结果，并证明了所提出的解决方案的有效性。