不确定环境下园区能源互联网参与电力市场的竞价策略与风险管理

With the development of smart grid and energy innovation, the park energy internet provides integrated energy services to industrial park customers through smart control and energy cascade utilization. However, park energy internet faces uncertainties from electricity markets and the supply-demand inside as a new market subject, under the background of the electric power system reformation. It brings challenges to the spread and application of park energy internet. This project studies the park energy internet in electricity markets under uncertain environment from the view of technologies and economic incentives. This project studies the uncertain environment faced by park energy internet at different time scales of year, month and day. Then, the optimal sizing problem is studied to determine the optimal portfolio to participate in electricity markets. Contracts and bidding strategy problems of park energy internet in various electricity markets have been studied, considering the risk management of uncertain optimization and risk measures. Furthermore, this project also analyzes the park energy internet in transmission congestion management, taking the coordination of park energy internet and main grid into account. The profit allocation topic is studied to allocate the total profits into the stakeholders in the park energy internet. Overall, this project helps park energy internet increase profitability, manage risk, and achieve friendly integration in electricity markets. It can provide theory bases and operational guidance for the park energy internet application.

随着智能电网和能源革新发展，园区能源互联网通过智能控制和梯级利用技术为工商业园区提供了经济、高效的综合能源服务。但在目前电力体制改革的浪潮下，园区能源互联网需要同时面对外部市场和内部供需的多重不确定性影响，给该技术的运营和推广带来了挑战。本课题从技术手段和经济激励两方面讨论了园区能源互联网在不确定环境下参与电力市场的竞价策略和运营机制；从技术手段分析了它在年、月、日等多时间尺度下面临的不确定环境，研究了优化配置问题为其后续参与市场竞争打下硬件基础，建立了其参与多市场、多交易品种的竞价策略从而优化经济效益，采用了多种不确定优化算法和风险管理手段规避运营风险；从经济激励角度，对外讨论了其参与电网阻塞管理的策略实现网-源协调运行；对内建立了内部各利益主体考虑风险补偿的利润分配机制。本课题助力园区能源互联网在电力市场中优化收益，管理风险，平抑波动，实现友好接入，为其提供理论基础和运营指导。

随着智能电网和能源革新发展，园区能源互联网通过智能控制和梯级利用技术为工商业园区提供了经济、高效的综合能源服务。但在园区能源互联网需要同时面对外部能量市场、电网运行、内部供需的多重不确定性影响，给该技术的运营和推广带来了挑战。本课题从技术手段和经济激励两方面讨论了园区能源互联网在不确定环境下参与电力市场的竞价策略和运营机制；从技术手段分析了它在年、月、日等多时间尺度下面临的不确定环境，研究了优化配置问题和韧性提升策略为其后续参与市场竞争打下硬件基础，建立了中长期和短期竞价策略从而优化经济效益，采用了随机优化、分布式鲁棒优化等多种优化方法和最差条件风险价值和谱风险等多种风险管理手段规避运营风险；从经济激励角度，对外讨论了其参与配电网韧性提升与阻塞管理的策略实现网-源协调运行；对内基于风险贡献度建立了内部各利益主体考虑风险补偿的利润分配机制。本课题助力园区能源互联网在电力市场中优化收益，管理风险，平抑波动，实现友好接入，提高配电网韧性，为其提供理论基础和运营指导。