含储热的光热电站是一种可调度的可再生能源发电技术,其接入系统为实现高比例可再生能源消纳提供了新的技术手段.利用含储热光热电站可控的出力特性,以削减接入大规模风电后调峰问题带来的影响.考虑到风电和光照功率的不确定性会带来调度运行风险的增加,借鉴金融领域风险管理的概念,引入条件风险价值(CVaR)来度量不确定性因素给调度运行带来的风险损失,并以系统总调度成本和风险成本最低为目标,建立计及CVaR的含储热光热电站和风电的电力系统经济调度模型.采用IEEE 39系统对模型进行仿真分析,并探讨了不同风险系数、储热容量对优化调度结果的影响.

The integration of high shares of variable renewable energy (VRE) makes the system's uncertainty increase sharply. It is technically and economically unsustainable to adopt traditional system reserve methods to cope with uncertainties. Fully exploiting various flexible resources to adapt to high shares of VRE is an important issue in the operational planning of future power systems. This paper considers the demand response to establish the power system flexibility adequacy assessment indicators on power supply side and load side. Secondly, in order to reflect the contribution of multi-type flexible resources to the improvement of system flexibility, a flexible resource contribution evaluation index is built. Then, the system flexibility adequacy index is included in the constraint conditions, and a flexible optimization scheduling model of power system with high penetration of wind power considering the flexibility of power supply side and load side is established. Finally, based on IEEE39 system, the related indicators and scheduling optimization methods proposed in this paper are verified. The example shows that the optimization method proposed in this paper can effectively reduce system reserve and flexible scheduling various flexible resources to reduce renewable energy curtailment. In addition, with the increase of wind power penetration rate, the demand response is more and more important to the flexibility of the power system, especially the downward flexibility.

With the grid-connected operation of large-scale wind farms, the contradiction between supply and demand of power systems is becoming more and more prominent. The introduction of multiple types of flexible resources provides a new technical means for improving the supply–demand matching relationship of system flexibility and promoting wind power consumption. In this paper, multi-type flexible resources made up of deep peak regulation of thermal units, demand response, and energy storage were utilized to alleviate the peak regulation pressure caused by large-scale wind power integration. Based on current thermal plant deep peak regulation technology, a three-phase peak regulation cost model of thermal power generation considering the low load fatigue life loss and oil injection cost of the unit was proposed. Additionally, from the perspective of supply–demand balance of power system flexibility, the flexibility margin index of a power system containing source-load-storage flexible resources was put forward to assess the contribution from each flexibility provider to system flexibility. Moreover, an optimal dispatching model of a multi-energy power system with large-scale wind power and multi-flexible resources was constructed, aimed at the lowest total dispatching cost of the whole scheduling period. Finally, the model proposed in this paper was validated by a modified RTS96 system, and the effects of different flexibility resources and wind power capacity on the optimal scheduling results were discussed.

为提高电力系统对光伏发电的接纳能力,提出一种基于碳交易的含大规模光伏发电的电池储能—抽水蓄能电力系统复合储能优化调度模型。基于低碳经济理念,将阶梯型碳交易机制引入电力系统经济调度中。采用基于最大最小距离准则的改进K均值聚类算法对光伏发电的出力场景进行有效聚类,在保证光伏发电出力分布特征的前提下削减场景数量;以系统综合运行成本最低为目标,兼顾系统的运行经济性和低碳性,利用电池储能作为功率型储能以平滑光伏电站出力波动,抽水蓄能作为能量型储能参与接入光伏发电后系统的调峰平衡。以改进的IEEE-RTS96系统对所提模型进行仿真分析,算例结果验证了模型的合理性和有效性。