含虚拟储能的新能源高渗透电网深度调峰备用决策模型

随着西北新能源并网容量的快速增长，新能源消纳需求与反调峰特性的矛盾成为电网运行面临的严峻挑战，但电力运行的逐步市场化也为新能源消纳提供了新途径。基于此提出新能源高渗电网中虚拟储能、深度调峰共同参与备用的市场决策模型。首先，考虑新能源的波动性，构建引入不确定度的新能源备用模型；针对用户侧资源的价格敏感性，构建基于“虚拟储能”的“充放电”能力的备用模型；其次，基于火电机组深度调峰技术确定不同调峰深度的补偿机制，构建火电深度调峰参与备用的模型；最后，以新能源消纳为核心，系统调峰备用成本最小为目标，构建虚拟储能、火电深度调峰共同参与的备用决策模型。算例结果验证了所提决策模型对保证系统调峰备用容量的有效性。

A Reserve Decision Model for High-Proportional Renew Energy Integrated Power Grid Based on Deep Peak-Shaving and Virtual Storage

With the capacity of renew energy continued to grow rapidly in the northwest China, the contradiction between the consumption demand of renew energy and the characteristics of its inverse peak shaving has become the severe challenges. On the other hand, the gradual marketization of power operation also provides a new way for large-scale consumption of renew energy. Based on this, a market decision model of adjustment standby is proposed based on deep peak-shaving and virtual storage in new energy high-permeability grid. First, this paper proposes a peaking reserve model of new energy with uncertainty participation which consider new energy output volatility. Based on the price sensitivity of user-side resources, an alternate model based on the "charge and discharge" capability of "virtual energy storage" is constructed. Secondly, based on deep peak-shaving technology of thermal power units, the compensation mechanism of different peak regulation depth is determined and the standby model for deep peak shaving of thermal power unit is used. Lastly, taking the new energy consumption as the core, the system peaking and standby cost is the minimum, and the standby decision model of virtual energy storage and thermal power deep participation is built. The simulation of the example showed that the proposed decision model is effective to ensure the capacity of adjustment standby.