基于MPC的柔性负荷与储能系统超短期调控策略

Ultra-short-term dispatch strategy of flexible load and energy storage system based on MPC

为解决风机、光伏出力不确定性导致的弃风、弃光问题,提出一种超短期时间尺度内基于模型预测控制(Model Predictive Control,MPC)的负荷调控策略。通过对柔性可调负荷与储能系统的超短期调控,对风电、光伏不确定性出力进行快速响应,减少风电、光伏大幅骤变时的弃风、弃光。所提出的基于MPC超短期调控策略以风电、光伏纳入比例最高为优化目标,并在考虑系统可靠性与储能系统寿命的基础上增加柔性负荷可调量的约束,以保证用户舒适度。以某工业园区为研究对象,通过推导目标函数以及约束条件的状态方程并应用动态矩阵控制算法对MPC最优目标进行求解。结果表明:与未采用超短期调控方法相比,采用超短期调控策略时可再生能源消纳比例提高了5. 37%,验证了所提出调控策略的有效性。

In order to solve the problem of wind abandon and light abandon caused by the uncertainty of wind turbine and photovoltaic output,this paper proposes a load control strategy based on model predictive control( MPC) in ultra-shortterm. Based on the ultra-short-term regulation of flexible load and energy storage system,the capability of rapid response to large fluctuations of the wind turbine and photovoltaic( PV) is improved,which increases renewable energy accommodation. This strategy not only considers the reliability of the power system and the life of the energy storage system,but also increases the constraint of adjustable power of flexible load. Considering the constraints,the ultra-short-term dispatch strategy based on MPC aims to acquire the maximum proportion of renewable energy. In the simulation example,an industrial park is taken as the research object,and optimal objective of MPC is solved by the dynamic matrix control algorithm.Compared with the non-short-term regulation method,the proportion of renewable energy consumption is increased by5. 37% when the ultra-short-term regulation strategy is adopted,which proves the effectiveness of the proposed regulation strategy.