联网型中原农宅综合能源系统鲁棒优化调度
Robust Optimal Dispatching of Integrated Energy System for Rural Residential Buildings Interacting with Power Grid
肖承仟 1王锴 1张磊 1乔恺 1张姝 1张胜男2
作者信息
- 1. 国网河南省电力公司平顶山供电公司,河南 平顶山 467000
- 2. 华北电力大学(保定) 经济管理系,河北 保定 071003
- 折叠
摘要
设计农村住宅综合能源系统与电网互动的优化调度方案是提高农宅节能效果及经济性的关键.针对综合能源系统规划中光伏出力及用能负荷等不确定性因素,建立了完善的电-冷-热综合能源系统模型框架,提出考虑需求响应的两阶段鲁棒优化方法.同时,考虑需求侧调控对能源优化调度的作用,根据实时电价以及相关激励措施,灵活调整用电需求,以达到优化与大电网购售电互动的目的.通过算例分析,分别得到日前、日内的具体调度方案.结果表明:优化调度后的农宅节能效果和成本节约均有显著提升.优化方案能够充分利用光伏发电,合理安排电力、冷热负荷,并根据实时电价进行灵活调整,实现农宅与电网的有效互动.
Abstract
Designing an optimal scheduling scheme for the interaction between the integrated energy system of rural residences and the power grid is the key to improve the energy-saving effect and economy of rural residences.Aiming at uncertain factors such as photovoltaic output and energy load in integrated energy system planning,this paper establishes a complete power-cooling-heat integrated energy system model framework,and proposes a two-stage robust optimization method considering demand response.Meanwhile,considering the effect of demand-side regulation on energy optimization and scheduling,according to real-time electricity prices and related incentives,flexibly adjust electricity demand to optimize the interaction with large power grids for electricity purchase and sales.Through the example analysis,the specific scheduling schemes of the day before and the day are obtained respectively.The results show that the energy saving effect and cost saving of the farm house after optimal dispatching are significantly improved.The optimization scheme can make full use of photovoltaic power generation,reasonably arrange power,cooling and heating loads,and make flexible adjustments according to real-time electricity prices to realize effective interaction between farm houses and the grid.
关键词
两阶段鲁棒优化模型/综合能源系统/电网互动方案/日前调度/日内调度Key words
two stage robust optimization model/integrated energy system/grid interaction scheme/day ahead dispatching/day ahead dispatching引用本文复制引用
基金项目
河北省自然科学基金(G2022502001)
出版年
2024
NETL
NSTL
万方数据