摘要
由于发电、负荷和市场价格预测的不确定性,微电网日前竞价往往很困难。提出了采用2阶段随机规划的方法,通过蒙特卡罗模拟生成各种随机场景,并基于Kantorovich距离进行场景简化,以日前电力市场交易所获得的预期利润最大化为优化目标,计算了智能微电网能源管理系统对日前电力市场的最优报价,并将目标函数的非线性项重构成线性形式。仿真结果验证了所提方案在智能微电网日前竞价中具有很好的效果。
Due to the uncertainty of power generation,load and market price prediction,the day-ahead bidding of the micro-grid is often difficult.In view of these uncertainties,a two-stage stochastic programming method is proposed in this paper.The Monte Carlo simulation is used to generate a variety of random scenarios,which are simplified based on Kantorovich distance.The optimal quotation of the smart micro grid energy management system for the day-ahead power market is calculated with the objective of maximizing the expected profit obtained by the day-ahead power market exchange.Among them,the nonlinear term of the objective function is reconstituted into a linear form,and the simulation results have verified that the proposed scheme has a good effect in the smart micro-grid day-ahead bidding.
作者
周海军
肖博文
周冬
ZHOU Haijun;XIAO Bowen;ZHOU Dong(Baoji Power Supply Company,State Grid Shaanxi Electric Power Company,Baoji 721004,Shaanxi,China;Jingmen Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Jingmen 448000,Hubei,China;College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443000,Hubei,China)
出处
《电网与清洁能源》
2018年第11期39-44,共6页
Power System and Clean Energy
基金
国家自然科学基金项目资助项(51777142)~~
