耦合电网约束的水电系统短期发电调度研究

Abstract

电网是水电站电力送出的必经途径，但在输送过程中不可避免地产生一定程度的电力损耗。以往研究大多集中在发电侧的水电站(群)发电量或发电效益最大，未能给予电力损耗充分的重视。因此，本文构建了考虑电网损耗的水电系统发电调度模型，以期实现水电最大化的消纳。同时，针对传统方法的早熟收敛缺陷，提出了耦合遗传算法和离散微分动态规划的离散微分遗传算法(DDGA)，并采用Fork/Join多核框架实现DDGA的并行求解，以求提高算法的搜索性能与求解效率。澜沧江流域梯级应用实例表明：所提模型与DDGA方法能够快速获得计及电网损耗的优化调度结果，有效提高电网水电消纳能力，具有较强的可行性及实用性。 The power grid is the only way of transmitting hydropower generation, and it will inevitably produce a certain degree of power loss in the transport process. Most previous studies focused on the generation side of maximum power out or generation benefits, without giving adequate attention to the power loss. In this paper, a short-term generation scheduling model coupling with power grid constraints is established, with the objective of maximizing the generation at the receiving end. A DDGA algorithm is proposed to solve the model, which combines the advantages of DDDP and GA. Moreover, based on the multi- core computer platform and Fork/Join parallel framework, a parallel processing method is used to improve the efficiency of solving the method. A case study of Lancang River cascade hydropower system proves that the model and DDGA method can quickly obtain optimal scheduling results, and it can improve the absorptive capacity of hydropower grid effectively. The proposed method is reasonability and practicability.