山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (5): 44-51.doi: 10.6040/j.issn.1672-3961.0.2019.162
杨冬1(),王世文2,王勇3,陈博1,郑天茹1,周宁1,肖天4,*(),赵雅文4
Dong YANG1(),Shiwen WANG2,Yong WANG3,Bo CHEN1,Tianru ZHENG1,Ning ZHOU1,Tian XIAO4,*(),Yawen ZHAO4
摘要:
风、光资源具有天然的互补性,在已建成的风电场中扩展光伏发电,组建互补发电系统,有利于平抑出力波动并提高运行经济性。提出一种并网型风电场扩展光伏容量优化配置方法。基于风速和太阳辐射在时间尺度上的互补性,建立修正的气象概率分布模型。以电气设备利用率最大,输出功率波动性和弃风、弃光电量最小为目标构建多目标优化模型,充分考虑3个目标之间的矛盾以及不同升压主变容量的影响。采用蒙特卡罗方法仿真生成风、光气象数据,基于多目标粒子群算法求取Pareto最优解集合,结合工程要求和经济性指标从集合中确定最终方案。结合算例,对本研究方法的有效性进行了验证。
中图分类号:
1 | 王飞, 宋士瞻, 曹永吉, 等. 基于连续小波变换的风光发电资源多尺度评估[J]. 山东大学学报(工学版), 2018, 48 (5): 124- 130. |
WANG Fei , SONG Shizhan , CAO Yongji , et al. Multi-scale assessment of wind-solar generation resources based on continuous wavelet transform[J]. Journal of Shandong University (Engineering Science), 2018, 48 (5): 124- 130. | |
2 | KATSIGIANNIS Y A , GEORGILAKIS P S , KARAPIDAKIS E S . Hybrid simulated annealing-tabu search method for optimal sizing of autonomous power systems with renewables[J]. IEEE Transactions on Sustainable Energy, 2012, 3 (3): 330- 338. |
3 |
ZHANG H X , CAO Y J , ZHANG Y , et al. Quantitative synergy assessment of regional wind-solar energy resources based on MERRA reanalysis data[J]. Applied Energy, 2018, 216, 172- 182.
doi: 10.1016/j.apenergy.2018.02.094 |
4 | CHENG L , LIU M , SUN Y , et al. A multi-state model for wind farms considering operational outage probability[J]. Journal of Modern Power Systems and Clean Energy, 2013, 1 (2): 177- 185. |
5 |
LIU C , CHAU K T , ZHANG X . An efficient wind-photovoltaic hybrid generation system using doubly excited permanent-magnet brushless machine[J]. IEEE Transactions on Industrial Electronics, 2010, 57 (3): 831- 839.
doi: 10.1109/TIE.2009.2022511 |
6 |
AL-MASRI H M , EHSANI M . Feasibility investigation of a hybrid on-grid wind photovoltaic retrofitting system[J]. IEEE Transactions on Industry Applications, 2016, 52 (3): 1979- 1988.
doi: 10.1109/TIA.2015.2513385 |
7 |
XU L , RUAN X , MAO C , et al. An Improved optimal sizing method for wind-solar-battery hybrid power system[J]. IEEE Transactions on Sustainable Energy, 2013, 4 (3): 774- 785.
doi: 10.1109/TSTE.2012.2228509 |
8 |
HONG Y Y , LIAN R C . Optimal sizing of hybrid Wind/PV/Diesel Generation in a Stand-Alone Power System Using Markov-Based Genetic Algorithm[J]. IEEE Transactions on Power Delivery, 2012, 27 (2): 640- 647.
doi: 10.1109/TPWRD.2011.2177102 |
9 | BANSAL A K , KUMAR R , GUPTA R A . Economic analysis and power management of a small autonomous hybrid power system (SAHPS) using biogeography based optimization (BBO) algorithm[J]. IEEE Transactions on Smart Grid, 2013, 4 (1): 638- 648. |
10 |
KATSIGIANNIS Y A , GEORGILAKIS P S , KARAPIDAKIS E S . Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables[J]. IET Renewable Power Generation, 2010, 4 (5): 404- 419.
doi: 10.1049/iet-rpg.2009.0076 |
11 | YUAN Y , CAO Y , ZHANG X , et al. Optimal proportion of wind and PV capacity in provincial power systems based on bilevel optimization algorithm under low-carbon economy[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3 (1): 33- 40. |
12 |
ABBES D , MARTINEZ A , CHAMPENOIS G . Eco-design optimisation of an autonomous hybrid wind-photovoltaic system with battery storage[J]. IET Renewable Power Generation, 2012, 6 (5): 358- 371.
doi: 10.1049/iet-rpg.2011.0204 |
13 | ZHU Y, JIANG P, YANG S. An optimal capacity allocation scheme for the wind-PV hybrid power system based on probabilistic production simulation[C]//Energy Conversion (CENCON), 2014 IEEE Conference on. Johor Bahru, Malaysia: IEEE, 2014: 277-282. |
14 | 叶承晋, 黄民翔, 王焱, 等. 基于离散概率模型的风光互补供电系统优化配置[J]. 电力系统自动化, 2013, (6): 48- 54. |
YE Chengjin , HUANG Minxiang , WANG Yan , et al. A hybrid wind/photovoltaic power supply system based on discrete probabilistic methodology[J]. Automation of Electric Power Systems, 2013, (6): 48- 54. | |
15 | JANGAMSHETTI S H , RAN V G . Optimum siting of wind turbine generators[J]. IEEE Transactions on Energy Conversion, 2001, 16 (1): 8- 13. |
16 |
ZOU K , AGALGAONKAR A P , MUTTAQI K M , et al. Distribution system planning with incorporating DG reactive capability and system uncertainties[J]. IEEE Transactions on Sustainable Energy, 2012, 3 (1): 112- 123.
doi: 10.1109/TSTE.2011.2166281 |
17 | BOROWY B S , SALAMEH Z M . Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system[J]. IEEE Transactions on Energy Conversion, 1996, 11 (2): 367- 375. |
18 | WANG L , SINGH C . Multi-criteria Design of hybrid power generation systems based on a modified particle swarm optimization algorithm[J]. IEEE Transactions on Energy Conversion, 2009, 24 (1): 163- 172. |
19 | 成驰, 许杨, 杨宏青. 并网风光互补资源评价与系统容量优化配置[J]. 水电能源科学, 2014, (6): 193- 196. |
CHENG Chi , XU Yang , YANG Hongqing . Resources evaluation of grid hybrid wind/pv power complementary and optimization allocation of system capacity[J]. Water Resources and Power, 2014, (6): 193- 196. | |
20 | HAZRA J , SINHA A K . Congestion management using multi-objective particle swarm optimization[J]. IEEE Transactions on Power Systems, 2007, 22 (4): 1726- 1734. |
[1] | 孙润稼,朱海南,刘玉田. 基于偏好多目标优化和遗传算法的输电网架重构[J]. 山东大学学报 (工学版), 2019, 49(5): 17-23. |
[2] | 钱淑渠,武慧虹,徐国峰,金晶亮. 计及排放的动态经济调度免疫克隆演化算法[J]. 山东大学学报(工学版), 2018, 48(4): 1-9. |
[3] | 王飞,徐健,李伟,汪新浩,施啸寒. 基于分布式储能系统的风储滚动优化调度方法[J]. 山东大学学报(工学版), 2017, 47(6): 89-94. |
[4] | 裴小兵,陈慧芬,张百栈,陈孟辉. 改善式BVEDA求解多目标调度问题[J]. 山东大学学报(工学版), 2017, 47(4): 25-30. |
[5] | 邓冠龙,杨洪勇,张淑宁,顾幸生. 零等待flow shop多目标调度的混合差分进化算法[J]. 山东大学学报(工学版), 2016, 46(5): 21-28. |
[6] | 刘淳安. 基于核分布估计的动态多目标优化进化算法[J]. 山东大学学报(工学版), 2011, 41(1): 167-172. |
[7] | 曲延鹏 陈颂英 杨新振 解富超 李文峰 宋秀琴. 低比转速离心泵叶轮几何参数多目标优化[J]. 山东大学学报(工学版), 2009, 39(3): 103-105. |
|