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含电加热装置的风光火联合系统优化调度策略 被引量:8

Optimal Scheduling Strategy for Wind-solar-fire Hybrid System with Electric Heater
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摘要 为减少新能源弃电量和降低运行成本,提出一种含有电加热装置的风光火联合发电系统优化运行策略。以综合运行成本最低为目标,考虑光热电站、储热系统及系统运行的约束,建立了联合发电系统运行优化调度模型,选用改进粒子群优化算法求解模型。对有/无电加热装置的联合系统进行对比,含电加热装置的联合系统综合运行成本降低12.87%,同时风光渗透率提升10.9%。该模型利用电加热装置将弃电量转换成热能,输送到光热电站,实现新能源弃电的高效利用。算例结果表明,所提调度策略能够有效提升风光联合系统的性能,使系统具有更高的可调度能力。 To reduce the power curtailment of new energy and decrease the operation cost,an optimal operation strategy for a wind-solar-fire hybrid power generation system with electric heater is proposed in this paper.Considering the constraints on a concentrating solar power(CSP)station,thermal energy storage system and system operation,an optimal operation scheduling model of the hybrid power generation system is established,with the objective of minimizing the comprehensive operation cost.Finally,the improved particle swarm optimization algorithm is selected to solve the established model.A comparative analysis is performed on the hybrid system with and without electric heater,and it is found that the hybrid system’s comprehensive operation cost with electric heater is reduced by 12.87%,while the wind-solar permeability is improved by 10.9%.This model uses electric heater to convert the power curtailment into heat energy,which is further transferred to the CSP,thus realizing the efficient utilization of power curtailment.The results of an example show that the proposed scheduling strategy can effectively improve the performance of the wind-solar hybrid system and make the system more schedulable.
作者 黄冬梅 高轩 孙锦中 胡安铎 HUANG Dongmei;GAO Xuan;SUN Jinzhong;HU Anduo(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 201306,China;College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处 《电力系统及其自动化学报》 CSCD 北大核心 2021年第12期134-141,共8页 Proceedings of the CSU-EPSA
基金 国家自然科学基金资助项目(41671431) 上海市科委地方院校能力建设项目(20020500700)。
关键词 电加热装置 光热电站 储热系统 联合发电系统 粒子群优化算法 electric heater(EH) concentrating solar power(CSP)station thermal energy storage(TES)system hybrid power generation system particle swarm optimization(PSO)algorithm
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