深圳电网日前送受电与发电计划联合优化策略与建模研究

Strategy and Modeling of Day-Ahead Power Exchange and Generation Scheduling Co-optimization over Shenzhen City Power Grid

针对广、深调度管理模式调整后深圳城市电网日前发电计划业务的实际需求,提出了送受电与机组出力联合优化的日前发电计划优化策略、模型与算法。通过引入送受电计划的可行优化空间,合理安排气量受限的燃气机组的出力曲线,降低了全系统购电费用;对燃气机组进行启停优化并考虑爬坡能力限制,有效缓解调峰压力;对送受电计划进行基于历史统计比例因子的功率分配,较为精确地考虑了网络安全约束,并在消除阻塞的过程中调动送受电计划的可调节性。以总购电费用最小为目标,全面考虑系统约束、机组约束以及网络约束,构建了混合整数线性规划数学模型,并采用成熟数学优化工具包CPLEX进行高效求解。基于深圳电网实际日前发电计划数据的算例表明,上述方法能够协调优化送受电计划与机组发电计划,可有效应用于工程实践。

For the need of the day-ahead generation scheduling business after the management reform of Guangzhou and Shenzhen City Power Grids, a day-ahead generation scheduling strategy with corresponding model and algorithm is proposed in which the tie-line power and generator power output are jointly optimized. The total cost is reduced by introducing optimizable margin for tie-line power schedule and reasonably arranging the generation curve of gas turbine generators for which gas supply is limited. Unit commitment is performed for gas turbine generators with ramping rate taken into consideration so as to effectively relieve the stress of the peak load. The tie-line power schedule is distributed according to scaling factors calculated based on historical operation data, with accurate consideration of the network security constraints, and the flexibility of tie-line power is taken full advantage of within the process of congestion management. A mathematical model of mixed integer linear programming （MILP） is presented for minimization of the total purchasing cost, considering system balancing constraints, generation unit operation constraints and network security constraints. IBM CPLEX is used to solve the MILP problem. A case study based on actual data of day-ahead generation scheduling in Shenzhen City Power Grid shows the effectiveness of the proposed method, indicating that the method can be effectively applied to industrial practices.