论文部分内容阅读
大规模电动汽车的无序接入会对电力系统的安全、经济运行产生诸多不利影响。针对这些问题,建立了用户收益最大化及系统有功网损最小化的实时充电控制多目标凸优化模型。引入交替方向乘子算法,将集中式充电优化问题转换为分散式以设备为单位的子优化问题求解。每次迭代设备与相邻的交互信息点之间仅需交互少量信息,利于保护用户的信息安全,并能有效解决集中式控制策略引起通信要求高、计算开销大的问题。IEEE 33节点、实际的119节点配电网系统的仿真结果表明:所提模型与集中式优化模型的计算结果一致,所提算法计算效率高、通信开销小,适用于滚动式实时调度。
The disordered access of large-scale electric vehicles will have many adverse effects on the safety and economic operation of the power system. To solve these problems, a multi-objective convex optimization model of real-time charge control is established, which maximizes the user’s profit and minimizes the active power loss of the system. The alternating direction multiplier algorithm is introduced to convert the centralized charging optimization problem into a distributed device optimization subproblem. Only a small amount of information needs to be exchanged between each iteration device and the adjacent interaction information point, which helps to protect the information security of users and can effectively solve the problem of centralized communication control strategy requiring high communication requirements and large computation overhead. The simulation results of the IEEE 33-bus system and the actual 119-node distribution system show that the proposed model is consistent with the centralized optimization model. The proposed algorithm has high computational efficiency and low communication overhead, and is suitable for rolling real-time scheduling.