电力市场环境下电网最大输电能力概率优化决策  

Probabilistic Optimal Decision-Making for Total Transfer Capability Under Electricity Market

作　　者：祝锦舟 张焰[1] 王赛一[2] 华月申[2] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海市闵行区200240 [2]上海市电力公司浦东供电公司,上海市浦东新区200122

出　　处：《电网技术》2017年第7期2282-2292,共11页Power System Technology

基　　金：国家电网公司科技项目(52092114001G)~~

摘　　要：最大输电能力(TTC)是电力系统的重要指标,也是电力市场交易的重要参考。在计及电网不同区域负荷概率不确定性及不同区域输电能力相互制约关系的基础上,统筹考虑输电网当前状态及预想事故状态下输电能力决策间的相关性,以输电综合成本期望值最小化为目标,以预想事故发生前后电网运行条件为约束,建立电网最大输电能力的概率优化决策一般模型,该模型将电网有功调度决策与不同区域负荷具体的概率不确定性紧密结合并统筹电网预想事故发生前后的输电能力决策。为保证计算的可行性及效率,通过将优化决策一般模型转化为双层线性规划模型进行迭代求解,得到电网不同负荷区域在运行状态下满足风险收益概率均衡的最大输电能力决策结果。以RBTS-6节点及IEEE-RTS79系统为例进行测试分析,论证所提模型的有效性。Total transfer capability（TTC） is an important index for both power system and electricity market. A probabilistic optimal TTC decision-making model under electricity market is proposed. TTC optimal decision-making is obtained with objective of minimizing expected operating cost with constraint set of both pre-contingency and post-contingency states. For optimal TTC decision-making, load uncertainty and mutually constrained relationship among transfer capability of different areas are considered and relationship among decision-making for pre-contingency and post-contingency states are taken into account. In the proposed model, probabilistic uncertainty of loads in different areas and active power dispatch decision are closely integrated. TTC decision for pre-contingency state is coordinated with decision for post-contingency state in this model. The probabilistic optimal decision-making model is transformed into a bi-level linear programming model to be solved to ensure feasibility and efficiency of calculation. Analysis for RBTS-6 node and IEEE-RTS79 test system demonstrates validity of this proposed model.

关 键 词：最大输电能力 风险收益 概率优化决策 双层线性规划模型/双层优化 

分 类 号：TM744[电气工程—电力系统及自动化]