虚拟电厂(Virtual Power Plant, VPP)能够聚合发电侧的分布式能源以提高可再生能源消纳程度。由于可再生能源出力的不确定且成本缺乏竞争力,虚拟电厂在运营过程中往往存在弃风弃光现象。建立了一种碳交易机制下计及用电行为的虚拟电厂经济调度模型,使可再生能源能参与到碳交易中,并促进用户侧与发电侧的协同。针对该模型的双层性、非线性和半连续性,提出了一种综合线性逼近、KKT条件和透视变换理论的重构方法,将其转化为单层整数二阶锥模型实现求解。算例表明,促进可再生能源消纳有助于提高虚拟电厂的减排效益。同时,碳交易机制具有提高可再生能源消纳总量的能力,用户的响应则具有改善风能利用分布的能力,而采用合适的电价机制能够进一步发挥二者之间的协同效益。
Path determination is a fundamental problem of operations research.Current solutions mainly focus on the shortest and longest paths.We consider a more generalized problem;specifically,we consider the path problem with desired bounded lengths(DBL path problem).This problem has extensive applications;however,this problem is much harder,especially for large-scale problems.An effective approach to this problem is equivalent simplification.We focus on simplifying the problem in acyclic networks and creating a path length model that simplifies relationships between various path lengths.Based on this model,we design polynomial algorithms to compute the shortest,longest,second shortest,and second longest paths that traverse any arc.Furthermore,we design a polynomial algorithm for the equivalent simplification of the DBL path problem.The complexity of the algorithm is 0(m),where m is the number of arcs.
