风光氢耦合发电系统的容量优化配置及日前优化调度

doi:10.11930/j.issn.1004-9649.201909003

中国电力 ›› 2020, Vol. 53 ›› Issue (10): 80-87.DOI: 10.11930/j.issn.1004-9649.201909003

• 面向统一能源系统的氢综合利用技术 • 上一篇下一篇

风光氢耦合发电系统的容量优化配置及日前优化调度

贾成真^1,2, 王灵梅^1,2, 孟恩隆², 杨德荣³, 郭东杰⁴, 刘玉山^1,2

1. 山西大学计算机与信息技术学院，山西太原 030006;
2. 山西省风电机组监测与诊断工程技术研究中心，山西太原 030013;
3. 山西漳泽电力股份有限公司，山西太原 030006;
4. 国家电投集团山西新能源有限公司，山西太原 030006

收稿日期:2019-09-02 修回日期:2020-04-20 发布日期:2020-10-05
作者简介:贾成真(1989—)，男，博士研究生，从事风光储协调控制，风电机组智能控制研究，E-mail：1059199241@qq.com;王灵梅(1964—)，女，博士，教授，从事新能源优化控制、电网智能调度研究，E-mail：wanglingmei08@163.com
基金资助:
山西省研究生联合培养基地人才培养项目(2018JD04)；青海省重点研发与转化计划资助项目(2019-GX-C27)

Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System

JIA Chengzhen^1,2, WANG Lingmei^1,2, MENG Enlong², YANG Derong³, GUO Dongjie⁴, LIU Yushan^1,2

1. School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China;
2. Wind Turbine Monitoring and Diagnosis Engineering Technology Research Center of Shanxi Province, Taiyuan 030013, China;
3. Shanxi Zhangze Power Co.,Ltd., Taiyuan 030013, China;
4. SPIC Shanxi New Energy Co., Ltd., Taiyuan 030006, China

Received:2019-09-02 Revised:2020-04-20 Published:2020-10-05
Supported by:
This work is supported by Talent Training Project of Shanxi Postgraduate Joint Training Base (No.2018JD04) and Qinghai Province Key R&D and Transformation Projects (No.2019-GX-C27)

摘要/Abstract

摘要： 为了在已投产的风光耦合发电站中实现制氢、储氢及燃料电池的最佳容量配比以及系统内部跟踪日前发电计划的优化调度，采用快速非支配排序遗传算法（NSGA-Ⅱ）实现了对容量配比多目标优化问题的求解，构建了考虑运氢量的风光氢发电系统内部跟踪日前发电计划的优化调度算法。首先，建立了各子系统的等效数学模型，提出了结合系统收益和全寿命周期年均值成本的经济性指标，以系统弃风弃光率、功率缺额率和经济性为目标得出制氢、燃料电池功率和储氢容量；其次，利用优化后的容量作为日前优化调度的约束条件，采用加权系数法建立了以日累计跟踪计划误差最小和储氢压力波动最小的单目标数学优化模型，利用Yalmip求解器对模型进行了求解；最后在Matlab中对所建立的模型进行了仿真和验证，得到了系统的最优容量配比，实现了系统内部跟踪日前发电计划的优化调度。

关键词: 风光耦合, 燃料电池, 容量配置, 优化调度, 全寿命周期

Abstract: In order to realize the optimal capacity allocation and day-ahead scheduling in wind-solar-hydrogen coupled generation system, the NSGA-II intelligent optimization algorithm is used to solve the multi-objective optimization problem of capacity allocation, and the optimal dispatching algorithm considering hydrogen transportation constraint is constructed on power generation side. Firstly, the equivalent mathematic model of each subsystem is established, and the economic indicator combining income and annual average cost of whole life cycle is put forward. Hydrogen production, fuel cell power and hydrogen storage capacity are obtained with the objective functions defined as system abandonment rate, power shortage rate and economy. Secondly, by taking the optimized capacity as the constraint condition of the day-ahead optimal coordinated control model, a single-objective optimization model is established to minimize the planning deviation and variation of pressure of hydrogen storage on the basis of the weighted coefficient method. Finally, the model is simulated and validated in Matlab. Hence the optimal capacity ratio and coordinated optimal control of the system is fulfilled.

Key words: wind-solar coupled, fuel cell, capacity configuration, optimal scheduling, life cycle

贾成真, 王灵梅, 孟恩隆, 杨德荣, 郭东杰, 刘玉山. 风光氢耦合发电系统的容量优化配置及日前优化调度[J]. 中国电力, 2020, 53(10): 80-87.

JIA Chengzhen, WANG Lingmei, MENG Enlong, YANG Derong, GUO Dongjie, LIU Yushan. Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System[J]. Electric Power, 2020, 53(10): 80-87.

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https://www.electricpower.com.cn/CN/Y2020/V53/I10/80

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风光氢耦合发电系统的容量优化配置及日前优化调度

Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System

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风光氢耦合发电系统的容量优化配置及日前优化调度

Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System

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