论文部分内容阅读
将电力市场中各交易中心的计算机系统看做一个分布式计算平台,提出了一种基于分布式协同计算的电力市场日前交易计划算法。介绍了电力市场日前交易计划计算的数学模型及求解该模型的分布式协同算法:先由基层交易中心完成区域内交易预计划;然后上级交易中心协调各基层交易中心通过迭代计算完成区域间交易计划,在交易计算的同时完成全系统的电网安全校核;最后由基层交易中心在区域间交易计划的基础上形成最终的区域内交易计划。该算法兼顾了交易优化计算与安全校核计算,仿真算例结果表明这种分布式协同算法是有效的。
Considering the computer system of each trading center in power market as a distributed computing platform, an algorithm of day-ahead transaction planning in power market based on distributed collaborative computing is proposed. This paper introduces the mathematic model of trading plan calculation in the electricity market and the distributed collaborative algorithm to solve this model. First, the primary trading center completes the pre-planning of the transaction in the region; then, the superior trading center coordinates all the primary trading centers to complete the inter-region trading plan through iterative calculation , Completing the system-wide power grid safety check while calculating transactions. Finally, the primary trading center forms the final intra-regional trading plan based on the interregional trading plan. The algorithm takes account of the transaction optimization calculation and the safety check calculation. The simulation results show that the distributed cooperative algorithm is effective.