为优化能源配置和用能效率，采用虚拟电厂模式聚合热电联产(combined heat and power, CHP)机组等分布式能源作为整体参与市场交易，考虑CHP机组热电比可调运行模式突破传统以热定电的限制，实现CHP机组的热电解耦，提升机组调度的灵活性。此外针对虚拟电厂面临的风电不确定性，采用鲁棒优化进行处理，构建min-max-min两阶段鲁棒优化模型，寻找不确定变量在不确定集合内朝着最恶劣场景变化时经济性最优的交易方案，并通过列约束生成算法对主子问题进行交替迭代求解。算例结果表明，采用CHP热电比可调运行模式并合理考虑风电出力不确定性能够提升系统调峰能力、降低出力偏差，对促进清洁能源消纳具有积极作用；也验证了通过虚拟电厂实现热电联合优化调度，作为整体参与市场运行具有较强的经济性优势。
英文摘要:
In order to optimize the energy allocation and energy efficiency, this paper adopts virtual power plant model combined heat and power (CHP) units and other distributed energy as a whole to participate in market transactions. The CHP unit heat-to-electric ratio adjustable operation mode is introduced to break the traditional “ordering power by heat” limit, realize the decouple of heat and power of CHP units, and improve the flexibility of unit scheduling. In addition, considering the renewable energy output uncertainty, a two stage robust optimization model with min-max-min structure is established to find the most economical trading strategy, the model is solved based on column constrained generation algorithm. Numerical cases show that by adjusting the CHP heat-to-electric ratio and reasonably considering the uncertainty of wind power output can improve power system peak-load regulation capacity and reduce the output deviation, which has a positive effect on the promotion of clean energy consumption. The advantages of VPP as an interest whole is also verified by the comparative study.