针对光伏不确定性对电网的影响日益增加,该文提出一种考虑需求响应的源网荷经济调度方法。首先以光伏历史数据,利用非参数估计来拟合光伏出力,同时利用蒙特卡洛进行场景表征,并利用基于马氏距离场景缩减技术进行场景缩减;其次,结合随机规划方法,建立考虑需求响应下系统运行成本最小的电力系统源网荷经济调度模型;最后以IEEE39节点模型进行分析,结果表明采用所提出的优化模型可实现对光伏的不确定性调度,并能降低用户用电成本,对未来电力系统需求响应下的多能互补提供理论支撑。
Abstract
Response to the increasing impact of PV uncertainty on the grid, this paper proposes a source-grid-load economic dispatching method considering demand response. Firstly, with PV historical data, non-parametric estimation is used to fit the PV output, while Monte Carlo is used for scenario characterization and scenario reduction is performed by using the Marxian distance-based scenario reduction technique. Secondly, a source-grid-load economic dispatch model for power system considering the minimum system operation cost under demand response is established by combining stochastic programming methods. Finally, the IEEE39 node model is used for analysis, and the results show that the proposed optimization model can realize the uncertainty dispatch of PV and reduce the cost of electricity for customers, which provides theoretical support for the future multi-energy complementation under demand response of power system.
关键词
光伏 /
非参数 /
随机 /
需求响应 /
经济调度
Key words
PV /
non-parametric /
random /
demand response /
economic dispatch
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基金
中国南方电网有限责任公司科技项目（080016KK52180005）
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