Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response

doi:10.12096/j.2096-4528.pgt.22119

Abstract

Abstract:

In order to meet the challenges brought by the high proportion of new energy access in the future, it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore, a multi-time scale optimal scheduling strategy of source-load-storage considering demand response was proposed to improve the economy and reliability of system operation by participating in the coordinated optimal scheduling of power grid. Firstly, the characteristics of different types of adjustable resources were analyzed, and the overall framework of multi-time scale rolling scheduling was constructed. The overall scheduling was divided into two stages: day-ahead scheduling and intra-day scheduling. Secondly, based on the multi-scenario stochastic programming method, the day-ahead and intra-day optimal scheduling models with the goal of minimizing the total operating cost of the system were established, and the models were solved under the premise of ensuring the reliable operation of the system. Finally, the improved IEEE-30 node system was used for simulation analysis to verify the feasibility and effectiveness of the proposed strategy.

Key words: new energy, source-load-storage, demand response, multi-time scale, rolling scheduling, multi-scenario stochastic planning

CLC Number:

TK 01

Xiyong YANG, Yangfei ZHANG, Gang LIN, Yuzhuo ZHANG, Yunzhan AN, Haotian YANG. Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response[J]. Power Generation Technology, 2023, 44(2): 253-260.

Figures/Tables 8

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参数	数值
充、放电系数	0.95、0.95
容量上、下限/(MW⋅h)	190、50
充电功率上、下限/MW	60、20
放电功率上、下限/MW	60、20
初始容量/(MW⋅h)	100
充放电费用/[元/(MW⋅h)]	20

参数	数值
充、放电系数	0.95、0.95
容量上、下限/(MW⋅h)	190、50
充电功率上、下限/MW	60、20
放电功率上、下限/MW	60、20
初始容量/(MW⋅h)	100
充放电费用/[元/(MW⋅h)]	20

成本项	策略1	策略2	策略3
总成本	455 217.57	492 002.10	741 354.02
火电机组成本	301 778.67	296 177.86	287 200.44
储能成本	4 589.47	4 589.47	9 483.79
A类负荷成本	68 972.25	0	19 491.00
B类负荷成本	714.23	0	0
弃新能源成本	54 633.62	44 635.89	90 470.04
失负荷成本	24 529.33	146 598.88	334 708.75

成本项	策略1	策略2	策略3
总成本	455 217.57	492 002.10	741 354.02
火电机组成本	301 778.67	296 177.86	287 200.44
储能成本	4 589.47	4 589.47	9 483.79
A类负荷成本	68 972.25	0	19 491.00
B类负荷成本	714.23	0	0
弃新能源成本	54 633.62	44 635.89	90 470.04
失负荷成本	24 529.33	146 598.88	334 708.75

成本项	方法1	方法2	方法3
总成本	455 217.57	491 443.16	538 296.48
火电机组成本	301 778.67	291 367.67	311 630.34
储能成本	4 589.47	3 789.47	4 589.47
A类负荷成本	68 972.25	55 748.29	70 816.33
B类负荷成本	714.23	1 604.07	5 623.67
弃新能源成本	54 633.62	14 114.55	144 406.67
失负荷成本	24 529.33	128 608.58	1 230.00