考虑储热改造与最优弃能的风光火储低碳经济调度

Low-carbon economic scheduling of solar thermal storage considering heat storage transformation and optimal energy abandonment

大规模可再生能源消纳以及电力系统的低碳发展对减少火电机组调峰调频时的碳排放提出了更高要求。为提高系统风光消纳的经济性与火电机调峰的低碳性,提出一种考虑火电机组储热改造与风光最优弃能的风光火储分层优化调度方法。考虑风光反调峰特性,建立最优弃能约束模型,构建以电网净负荷方差最小为目标的上层模型,对净负荷曲线进行一次“削峰填谷”。为扩大火电机组调峰深度,考虑储热机组改造,建立碳交易成本模型。基于此,建立以系统总成本和碳交易成本最小为目标的下层模型,对净负荷曲线二次“削峰填谷”的同时,实现对系统经济与低碳的协同优化。基于算例分析,验证了所提出模型的合理性与有效性。

Large-scale renewable energy consumption and low carbon development of power systems have a higher need to reduce carbon emissions in the peak frequency modulation of thermal power units.To improve the economical efficiency of the system and the low carbon of the thermal motor peak adjustment,this paper proposes a hierarchical optimal scheduling method of the thermal storage considering the thermal power unit’s heat storage transformation and optimal solar energy abandonment.Considering the reverse peak adjustment characteristics of wind,an optimal energy-discarding constraint model is established,and an upper model is constructed to minimize the net load variance of the power grid.The net load curve is"peak-clipping".To expand the peak-shaving depth of thermal power units,a carbon transaction cost model is established considering the transformation of heat storage units.From this,the lower layer model is established with the goal of minimizing the total system cost and carbon transaction cost.A collaborative optimization of system economy and low carbon is realized while the net load curve is"peak-cutting and valley filling"twice.The rationality and validity of the proposed model are verified by an example.