基于温控负荷参与的多虚拟电厂联合调度研究

Joint Scheduling Strategy for Multi-Virtual Power Plant Based on Temperature-Controlled Load’s Participation

空调等温控负荷在虚拟电厂(VPP)的优化调度中起着至关重要的作用。针对VPP中新能源功率输出不稳定问题,提出了基于温控负荷参与的多VPP联合调度策略。首先,研究了温控负荷聚合模型,构建了多VPP分布式能源协调互补的联合调度框架,在日前阶段根据预测数据制定联合调度计划,多VPP管理中心对各VPP进行多能互补。其次,在日前阶段引入考虑用户意愿度的温控负荷模型,在日内阶段根据短期预测数据对调度计划进行滚动修正,减少新能源功率输出波动带来的供需偏差。最后,通过MATLAB调用Cplex仿真分析,验证了多VPP联合优化调度策略不仅保证了供电可靠性,还有效减少了预测偏差带来的补偿费用。

Temperature-controlled loads,such as air conditioners,play a crucial role in the optimal scheduling of virtual power plants(VPP).In order to deal with the instability of renewal energy,a joint scheduling strategy of multi-virtual power plant based on the participation of temperature-controlled loads was proposed.Firstly,the temperature-controlled loads’aggregation model is studied,and the multi-virtual power plant’s joint dispatching framework of distributed energy resources is constructed.The joint dispatching plan is formulated according to the forecast data in the pre-day stage,the multi-virtual power plant management center carries out multienergy complementarity for each VPP,and the temperature-controlled loads model considering the user's willingness is introduced in the pre-day stage.In the intraday stage,the scheduling plan is revised on a rolling basis according to the short-term forecast data to reduce the supply and demand deviation caused by the instability of renewal energy,and finally the Cplex simulation invoked by Matlab verifies that the proposed strategy not only ensures the reliability of power supply,but also effectively reduces the compensation cost caused by the prediction deviation.