Game Optimization Scheduling of Wind-Solar-Hydro-Thermal Power Alliance in Upstream and Downstream Regions of Cascade Hydropower

doi:10.16183/j.cnki.jsjtu.2024.049

Abstract

Abstract:

Centralized optimization is widely applied in optimization scheduling of wind-solar-hydro-thermal power in cascade hydropower. However, upstream and downstream regions of cascade hydropower often belong to different interest alliances, which hinders centralized optimization from considering the individual preferences of each alliance in their scheduling decisions. To address this, a game optimization dispatch model is established with the goal of maximizing the interests for both upstream and downstream regions. The downstream region provides a certain proportion of its increased revenue as compensation to the upstream region, which adjusts the scheduling strategy to increase the downstream revenue. This game is modeled as a Stackelberg game, of which the leader is the downstream region that provides compensation and determines the compensation coefficient, and the follower is the upstream region that formulates its scheduling strategy. In the bi-level nested optimization model based on the Stackelberg game, the upstream optimal scheduling model at the lower level considers the downstream optimal scheduling strategy, namely, the lower-level model is also a bi-level optimization problem. Finally, a game optimization scheduling model is constructed based on the three-level optimization model. The results show that this model can ensure the individual interests for both upstream and downstream regions while promoting an overall increase in their combined benefits.

Key words: cascade hydropower, wind-solar-hydro-thermal power, compensation, Stackelberg game, optimal dispatch

CLC Number:

TM732

BAI Yunjie, XIE Kaigui, SHAO Changzheng, HU Bo. Game Optimization Scheduling of Wind-Solar-Hydro-Thermal Power Alliance in Upstream and Downstream Regions of Cascade Hydropower[J]. Journal of Shanghai Jiao Tong University, 2026, 60(2): 224-234.

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策略	运行成本/万元
策略	上游	下游	上下游之和
集中优化	30.13	5.56	35.69
独立优化	24.64	16.08	40.72
博弈优化	24.82	11.85	36.67

位置	总成本/ 万元	运行成本/ 万元	补偿费用/ 万元	总成本减少比例/%
上游	22.18	24.82	2.64	10.00
下游	14.50	11.85	2.64	9.85

单位水量补偿价格/ (元·m^-3)	补偿金额/ 万元	补偿后上游总成本/万元	补偿后下游总成本/ 万元	上下游成本之和/ 万元
0.005	3.20	26.93	8.76	35.69
0.010	6.39	23.73	11.96	35.69
0.020	12.79	17.34	18.35	35.69
0.030	19.18	10.94	24.75	35.69

类别	运行成本/万元	补偿费用/万元	总成本/万元
上游	24.64	3.00	21.64
下游	15.80	3.00	18.80
上下游之和	40.44		40.44

策略	上游	下游	上下游之和
集中优化	7303.12	6152.03	13455.16
独立优化	7249.85	7678.71	14928.55
博弈优化	7302.82	6152.36	13455.18