基于供需双侧互动的随机机组组合模型及经济调度优化研究

Study on economic dispatching optimization and stochastic unit combination model based on supply and demand bilateral interaction

我国西北地区具有大规模的风电等可再生装机,但受风速等自然条件影响,可再生能源出力具有较强的随机波动性,同时,需求侧负荷受用户用电行为影响,也具有一定的随机性。有研究表明,探究电力系统供需双侧随机性,并提出对应的协调优化方法,对于平抑需求侧峰谷差和促进风电等新能源消纳具有重要的理论价值和实际意义,但目前相关领域研究较少。为此,文章提出一个供需双侧互动的随机机组组合模型,用于大规模新能源发电与需求侧负荷双侧耦合模式下的调度优化,并采用实际案例与传统有序用电模式及需求响应竞价模式进行对比,验证了所提双侧耦合模式的有效性和优越性。

There are large-scale renewable energy units such as wind power in northwest area of China.Renewable energy output has strong random volatility due to natural conditions such as wind speed.Meanwhile,the demand side load is affected by the users behavior,and also has certain randomness.Some studies have shown that exploring the randomness of power supply and demand on both sides,and proposing corresponding coordinated optimization methods,which has important theoretical and practical significance for stabilizing demand side peak-to-valley difference and promoting new energy consumption such as wind power.However,there are currently few studies in related fields.To this end,this paper proposes a stochastic unit combination model for supply and demand bilateral interaction,which is used for scheduling optimization under large-scale new energy generation and demand side load coupling mode.The actual case is compared with the traditional ordered power mode and the demand response bidding mode,which verifies the effectiveness and superiority of the proposed bilateral coupling mode.