基于风电消纳能力态势划分的源荷储系统分阶段优化策略

仿照电力系统在不同运行条件下有着不同的运行状态，提出解决风电消纳的三态划分法。根据弃风量的多少及其变化趋势，将包含储热、电储能和柔性负荷的热电联产系统划分为正常状态、警戒状态和紧急状态。已知系统运行状态，建立不同状态下的源荷储分阶段优化调度模型，并采用粒子群优化算法对模型进行求解。算例分析表明，正常状态下由于柔性负荷和储热装置的参与，减小了系统的调峰压力，降低了运行成本；警戒状态下电储能设备与风电场建立了一种能量互补关系，实现了平抑风电功率波动的目标，有利于系统的安全稳定运行；紧急状态下储热系统将弃风电能转化为热能，在满足用户热需求的同时，将多余热量储存起来，实现能量的高效利用。

Phased Optimal Strategy of Source-Load-Storage System Based on State Partition of Accommodation Capacity of Wind Power

A partition method of three-state for wind power accommodation is proposed, which is modeled based on the operation states of power system under different operation conditions. The combined heat and power system with thermal energy storage, electric energy storage and flexible load are divided into three states that include normal state, alert state and emergency state according to wind power curtailment and its variation trend. A phased optimal scheduling model in different states is established and solved by particle swarm optimization algorithm. In normal state, the participation of flexible load and thermal energy storage is able to reduce the pressure of peak shaving and operation costs of system. In alert state, the energy complementary relationship between electric energy and wind power can be found to achieve the target of alleviating wind power fluctuation, which is helpful for safety and stable operation of the system. In emergency state, the system of thermal energy storage transforms abandoned wind power into heat energy to meet the demand for heat supply of users, stores the excess energy and enhances energy use efficiently.