Stochastic Optimization Strategy for Load Management of Industrial Park Under Energy Constraints

doi:10.11930/j.issn.1004-9649.202311142

Abstract

Abstract:

In order to solve the load management problem of industrial park microgrids in the event of energy shortage, this paper proposes a new method for managing user-specific loads. By defining the user-specific load management as a stochastic predictive model control problem, this method firstly establishes prediction models for photovoltaic and users’ power demand, and then solve them using two-stage stochastic programming and approximate dynamic programming. Finally, the effectiveness of the alternative solutions is tested through two controllers in an environment in which user response to the load management is simulated. The results indicate that even if the controller does not have a complete model of user response, the predictive models used for scheduling the load management can significantly improve the power availability and user consumption efficiency.

Key words: industrial park, load management, random prediction model, two stage stochastic programming, approximate dynamic programming

RU Chuanhong, LU Ji, QIN Jian, ZHANG Junda, CHANG Junxiao, JIANG Beini. Stochastic Optimization Strategy for Load Management of Industrial Park Under Energy Constraints[J]. Electric Power, 2025, 58(8): 130-138.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202311142

https://www.electricpower.com.cn/EN/Y2025/V58/I8/130

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References 21

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负载类型	功率/ W	最小时间/ s	最大时间/ s	完成确认/ 次	频次成本/ 万元
电器1	50	5	15	0.5	0.1
电器2	75	30	180	4	0.1
电视	50	30	240	1	0.5
灯1	300	5	260	2	1.0
灯2	450	5	30	2	0.6
微波炉	650	2	10	2	0.5
吹风机	1800	2	17	2	0.5
洗衣机	500	30	60	3	0.5
烘干机	2500	45	60	3	0.5
洗碗机	1200	60	90	3	0.5

负载类型	功率/ W	最小时间/ s	最大时间/ s	完成确认/ 次	频次成本/ 万元
电器1	50	5	15	0.5	0.1
电器2	75	30	180	4	0.1
电视	50	30	240	1	0.5
灯1	300	5	260	2	1.0
灯2	450	5	30	2	0.6
微波炉	650	2	10	2	0.5
吹风机	1800	2	17	2	0.5
洗衣机	500	30	60	3	0.5
烘干机	2500	45	60	3	0.5
洗碗机	1200	60	90	3	0.5

N	S	T	确定性优化时间/h	两阶段随机优化时间/h	近似动态规划时间/h
5	5	12	0.01	0.01	0.97
5	5	24	0.01	0.02	1.90
5	5	36	0.01	0.03	2.60
5	15	12	0.01	0.03	5.00
5	15	24	0.01	0.06	9.30
5	15	36	0.01	0.09	13.00
15	5	12	0.01	0.04	1.70
15	5	24	0.01	0.07	3.50
15	5	36	0.02	0.11	4.70
15	15	12	0.01	0.11	30.00
15	15	24	0.01	0.24	47.00
15	15	36	0.02	0.39	61.00

N	S	T	确定性优化时间/h	两阶段随机优化时间/h	近似动态规划时间/h
5	5	12	0.01	0.01	0.97
5	5	24	0.01	0.02	1.90
5	5	36	0.01	0.03	2.60
5	15	12	0.01	0.03	5.00
5	15	24	0.01	0.06	9.30
5	15	36	0.01	0.09	13.00
15	5	12	0.01	0.04	1.70
15	5	24	0.01	0.07	3.50
15	5	36	0.02	0.11	4.70
15	15	12	0.01	0.11	30.00
15	15	24	0.01	0.24	47.00
15	15	36	0.02	0.39	61.00

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