摘要
以虚拟电厂(virtual power plant,VPP)形式聚合热电联产(combined heat and power,CHP)机组,并参与能量市场(energy market,EM)和旋转备用市场(spinning reservemarket,SRM)可提高决策灵活性,进而获得更大收益。建立EM和SRM下VPP日前热电联合调度优化模型,该模型聚合单元包括微型燃气轮机、燃料电池、风电机组、光伏机组、CHP机组、锅炉、电储能、热储能、电负荷和热负荷,并考虑CHP机组参与SRM情景。针对VPP面临的不确定性问题和由此带来的风险,采用鲁棒优化(robust optimization,RO)处理EM电价、SRM电价、风电出力、光伏出力、电负荷和热负荷的不确定性,降低了系统风险,并建立风险量化指标,平衡RO模型的鲁棒性和经济性,为决策者提供有效参考。仿真算例验证了所构模型的有效性。
The flexibility of decision can be increased by aggregating combined heat and power （CHP） units and participating in energy market （EM） and spinning reserve market （SRM）, which increased the benefits of virtual power plant （VPP）. A day-ahead thermal and electrical scheduling optimization model of VPP consisting micro turbines, fuel cells, wind turbines, photovoltaic units, CHP units, boilers, electrical storage devices, thermal storage devices, electrical loads and thermal loads for participating in EM and SRM was established. In this model, the case of CHP units participated in SRM was considered. Due to the risk caused by the uncertain factors, such as EM price, SRM price, wind power output, photovoltaic power output, electrical load and thermal load, a robust optimization （RO） approach was used to reduce systemic risk. Also, an index quantifying the risk was presented to balance the robustness and economy of RO model and provide a valid reference for decision-maker. The effectiveness of RO model was verified by a testing example.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2017年第11期3118-3128,共11页
Proceedings of the CSEE
基金
国家自然科学基金项目(51277052)~~
关键词
热电联产
虚拟电厂
能量市场
旋转备用市场
鲁棒优化
风险量化指标
combined heat and power-（CHP）
virtual power plant （VPP）
energy market （EM）
spinning reserve market （SRM）
robust optimization （RO）
quantitative risk index
