综合能源生产单元参与日前电-气耦合市场分布鲁棒自调度方法OA

In the background of building the new power system and achieving the goals of carbon emission peak and carbon neutrality,the integrated energy production unit(IEPU)can be used as a green transformation solution for traditional coal-fired power generation units.Taking IEPU as the research object,a data-driven distributionally robust self-scheduling method for IEPU to participate in day-ahead electricity-gas joint market was proposed.Firstly,the interval uncertainty set of photovoltaic power generation was established.Then,a distributed robust ambiguity set was constructed based on the historical price data of the electricity market and natural gas market.Moreover,a distributed robust self-scheduling model for IEPU participating in the electricity-gas market was established with the goal of profit maximization.Lastly,the above model was transformed into an easy-to-solve mixed-integer linear programming problem based on the dual theory.The final case study shows that compared with the conservative robust optimization method,the use of the distributed robust optimization method to deal with price uncertainty can effectively balance the robustness and economy of the self-scheduling scheme.