基于用户最佳聚合模式的智能楼宇电能共享调度策略

Smart building power sharing dispatching strategy based on the optimal aggregation mode of users

中文关键词: 智能楼宇  非均衡蛛网  全景理论  电能共享  弱鲁棒

英文关键词: smart building  non-equilibrium cobweb  landscape theory  power sharing  light robust

中文摘要:

      针对拥有光伏装置的产消一体化智能楼宇,其多数时段处于供需不平衡的情况,存在“余电上网,缺电购买”等对电网依赖性较大的问题。为提升新能源的就地消纳率,降低用户用电成本,考虑不同用户用电行为的互补性,提出一种基于楼宇用户最佳聚合模式的电能共享调度策略。首先,建立了以非均衡蛛网定价模型驱动基于全景理论能量函数的聚合模型,寻求用户间电能共享效果最佳的聚合组合,以供需匹配度设置组合内部电能共享的套餐价格。接着,计及发电装置出力以及用户用电行为的不确定性,利用弱鲁棒优化理论求解所得聚合组合内部电能共享调度策略,通过算例仿真验证了所提模型的有效性。

英文摘要:

      For smart building with photovoltaic installations, most of the time it is in the situation of unbalanced supply and demand, and there is the problem of large dependence on the power grid, such as“surplus power on the Grid, lack of power to buy”. In order to enhance the rate of local consumption of new energy and reduce the cost of power consumption for users. A power sharing scheduling strategy based on the optimal aggregation mode of building users is proposed, taking into account the complementary behavior of different users. First, An aggregation model based on the landscape theory energy function driven by an non- equilibrium cobweb pricing model is established to seek the aggregation combination with the best effect of power sharing among users, and the package price of power sharing within the combination is set by the matching degree of supply and demand. Then taking into account the uncertainty of generators‘output and users’behavior, the light robust optimization theory is used to solve the scheduling strategy of power sharing within the resulting aggregation portfolio, and the effectiveness of the proposed model is verified through example simulations.