多区域互联电网分布式随机动态优化调度方法

Traditional grid scheduling mode has been difficult to adapt to the new energy and power grid environment with the rapid development of renewable generation, energy storage facilities, and UHV transmission network. There are a series of related unresolved challenging scientific and technical issues. In this proposal, we focus on the distributed multi-area stochastic dynamic economic dispatch problem considering the demand of multi-energy complementation, renewable generation consumption and global schedule optimization in multi-area power systems. To achieve these objectives, the project will present a strategy to distributed update the dynamic schedule information of multi-area, and a model to descript the robust feasibility under nonanticipative constraints, develop the optimization based on-line methodologies for distributed multi-area economic dispatch, stochastic look-ahead economic dispatch and distributed stochastic rolling economic dispatch, and construct a scheduling mechanism for multi-area rolling coordination. This project will make contributions in establishing theoretic foundations and developing practical methods for security, stability, efficiency, economic operation of the multi-area power systems in China.

面对以可再生新能源大规模接入、大型储能设施大规模应用、特高压跨区输电线路大规模联络为代表的电网基础设施建设的飞速发展，传统的运行调度模式已经难以适应新一代能源电力网络的运行环境，亟待解决一系列密切相关且具有挑战性的科学和技术问题。本项目从多区域互联电力系统多能互补、跨区消纳、全局优化的需求出发，研究更加适合多区域电网决策环境的分布式随机动态优化调度问题。以分布式随机规划理论为基础，解决分布式框架下调度优化信息的动态更新策略、非预期条件下鲁棒可行的判定与不确定性建模等关键难题，研究多区域电网的分布式动态协调调度、考虑鲁棒可行的前瞻经济调度、分布式滚动协调调度等问题在线求解的系统化高效算法，建立多区域电网分布式滚动调度机制，实现区域间的多能互补、消纳互助和决策互动，为保障能源电力系统的安全、稳定、高效、经济运行做出基础理论和方法上的贡献。

面对以可再生新能源大规模接入、大型储能设施大规模应用、特高压跨区输电线路大规模联络为代表的电网基础设施建设的飞速发展，传统的运行调度模式已经难以适应新一代能源电力网络的运行环境，亟待解决一系列密切相关且具有挑战性的科学和技术问题。本项目从多区域互联电力系统多能互补、跨区消纳、全局优化的需求出发，研究更加适合多区域电网决策环境的分布式随机动态优化调度问题。以分布式随机规划理论为基础，解决分布式框架下调度优化信息的动态更新策略、非预期条件下鲁棒可行的判定与不确定性建模等关键难题，研究了多区域电网的分布式动态协调调度、考虑鲁棒可行的前瞻经济调度、分布式滚动协调调度等问题在线求解的系统化高效算法，建立了多区域电网分布式滚动调度机制，实现了区域间的多能互补、消纳互助和决策互动，为保障能源电力系统的安全、稳定、高效、经济运行做出基础理论和方法上的贡献。