由于难以全面和准确地考虑系统的多种不确定因素,如风电、负荷的预测误差和常规机组的强迫停运,现有基于确定性旋转备用的风电–抽水蓄能联合运行优化调度模型无法从兼顾系统运行的经济性和可靠性方面最优确定风蓄联合运行方式。为此,提出了基于成本效益分析的考虑风蓄联合运行的机组组合新模型。该模型首先在计算系统的失负荷风险时对现有多场景概率风险分析方法进行改进,使其能够同时考虑服从不同概率分布的风电功率和负荷预测误差以及机组强迫停运,并通过成本效益分析实现常规机组发电成本、期望停电成本与抽水蓄能机组的运行成本三者之和最小的目标,再采用混合整数线性规划方法求解模型,确定风蓄联合运行方式和系统的旋转备用容量。仿真分析表明,通过优化旋转备用的配置,该模型在确定风蓄联合运行方式时能更全面地考虑系统运行的经济性,并能更准确地分析其对系统运行成本的改善。
Because various uncertainties in power systems including forecast errors of load, wind power and forced outages of generators are difficult to be comprehensively and accurately taken into account, existing models based on deterministic spinning reserve(SR) requirements cannot optimize scheduling of wind farms and pumped storage(PS) units in terms of economy and reliability of system operation, Therefore, a novel joint unit commitment model of wind-PS units based on cost-benefit analysis is proposed. In this model, improved multi-scenario probability method capable of considering different probabilistic characteristics of load, wind power and generators is used to determine loss-of-load risk of power systems. Cost-benefit analysis is utilized to simultaneously minimize expected cost of load shedding and operation cost of conventional generators and PS units. Then the proposed model is solved using mixed integer linear programming method, so that wind-PS units scheduling and SR are determined. Simulation studies are conducted to verify that, by optimizing SR requirements, the proposed model can analyze contribution of wind-PS units in reducing system operation cost more accurately when optimizing wind-PS units scheduling from overall economic efficiency of system operation.