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针对影响海岛风浪互补电站产业化进程的选址决策问题，本文构建选址决策模型并提出求解算法，从而建立海岛风浪互补电站选址决策方法。本文构建海岛风浪互补电站选址决策模型并提出求解算法，从而建立海岛风浪互补电站选址决策方法。在权重求解算法中结合集体决策理论提出基于熵值法和特征向量法的组合权重法，有效降低传统主观赋权法的主观偏差。方案排序算法应用接近理想点法(Technique for Order Preference by Similarity to an Ideal Solution, TOPSIS)得出优先开发序列，确定最优场址。最后，以青岛市海岛风浪互补电站选址为例通过敏感性分析论证方法的鲁棒性、实用性与科学性。海岛风浪互补电站选址决策方法可以为中国海洋能电站微观选址提供理论支撑，推进中国海洋能的产业化进程。
Abstract：Aiming to solve the site selection decision-making problem that affects the industrialization process of island wind-wave hybrid power plant, the site selection decision-making model is established and the algorithm for solving this model is proposed in this paper, thereby developing a site selection decision-making method for island wind-wave hybrid power plant. In this paper, the decision-making model of site selection for island wind-wave hybrid power plant is established and the algorithm for solving this model is proposed, thereby developing a site selection decision-making method for island wind-wave hybrid power plant. In the process of calculating the evaluation criteria weights, combined with the collective decision theory, a combined weighting method based on the entropy method and the eigenvector method is proposed, which effectively reduces the subjective deviation of the traditional subjective weighting method. In the process of alternative ranking, Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) is used to obtain the priority development sequence and determine the optimal site. Finally, the robustness, practicability and scientificity of the method is proved by sensitivity analysis, through a case study of island wind-wave hybrid power plant site selection in Qingdao. The proposed method can provide theoretical support for the micro-site selection of marine energy power stations, and effectively promote the industrialization of marine energy.
[1] Aleixandre-Tudó J L,Castelló-Cogollos L,Aleixandre J L,et al.Renewable energies:Worldwide trends in research,funding and international collaboration[J].Renewable Energy,2019,139:268-278.
[2] Sun J W,Hu S L J,Li H J.Laplace domain method for computing the transient response of floating structures to irregular wave[J].Ocean Engineering,2020,203:107200.
[3] 国家海洋局.全国海洋经济发展“十三五”规划[EB/OL].(2017-05-04) [2017-09-07].http://images.mofcom.gov.cn/www/201709/20170907170048332.pdf.State Oceanic Administration.The 13th Five-Year Plan for National Marine Economic Development[EB/OL].(2017-05-04) [2017-09-07].http://images.mofcom.gov.cn/www/201709/20170907170048332.pdf.
[4] 乌云娜，杨益晟，冯天天，等.风光互补电站宏观选址研究[J].电网技术，2013,37(2):319-326.Wu Y N,Yang Y S,Feng T T,et al.Research on macro-site selection of wind-solar hybrid power station[J].Power System Technology,2013,37(2):319-326.
[5] 王项南，贾宁，薛彩霞，等.关于我国海洋可再生能源产业化发展的思考[J].海洋开发与管理，2019,12:14-18.Wang X N,Jia N,Xue C X,et al.Thinking about the industrialization development of marine renewable energy in my country[J].Ocean Development and Management,2019,12:14-18.
[6] 章凯，陈博.“多能互补”技术发展与应用[J].科技和产业，2018,18(11):92-99.Zhang K,Chen B.The development and application of “Multiple Complementary”[J].Science Technology and Industry,2018,18(11):92-99.
[7] Margarita V,Eva L,Dimitra G,et al.GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece[J].Renewable and Sustainable Energy Reviews,2017,73:745-757.
[8] Cradden L,Kalogeri C,Martinez Barrios I,et al.Multi-criteria site selection for offshore renewable energy platforms[J].Renewable Energy,2016,87:791-806.
[9] Mahdy M,Bahaj A S.Multi criteria decision analysis for offshore wind energy potential in Egypt[J].Renewable Energy,2018,118:278-289.
[10] Kim T,Park J L,Maeng J.Offshore wind farm site selection study around Jeju Island,South Korea[J].Renewable Energy,2016,94:619-628.
[11] Cavazzi S,Dutton A.An offshore wind energy Geographic Information System (OWE-GIS) for assessment of the UK′s offshore wind energy potential[J].Renewable Energy,2016,87:212-228.
[12] Aymen C,Catalin F C,Mircea A.Multi-criteria selection of offshore wind farms:Case study for the Baltic States[J].Energy Policy,2017,103:179-192.
[13] Moradi S,Yousefi H,Noorollahi Y,et al.Multi-criteria decision support system for wind farm site selection and sensitivity analysis:Case study of Alborz Province,Iran[J].Energy Strategy Reviews,2020,29:1-17.
[14] H?fer T,Sunak Y,Siddique H,et al.Wind farm siting using a spatial Analytic Hierarchy Process approach:A case study of the St?dteregion Aachen[J].Applied Energy,2016,163:222-243.
[15] Baseer M A,Rehman S,Meyer J P,et al.GIS-based site suitability analysis for wind farm development in Saudi Arabia[J].Energy,2017,141:1166-1176.
[16] Ghosh S,Chakraborty T,Saha S,et al.Development of the location suitability index for wave energy production by ANN and MCDM techniques[J].Renewable and Sustainable Energy Reviews,2016,59:1017-1028.
[17] Abaei M M,Arzaghi E,Abbassi R,et al.Developing a novel risk-based methodology for multi-criteria decision making in marine renewable energy applications[J].Renewable Energy,2017,102:341-348.
[18] Shao M,Han Z X,Sun J W,et al.A review of multi-criteria decision making applications for renewable energy site selection[J].Renewable Energy,2020,157:377-403.
[19] Shahabi H,Keihanfard S,Ahmad B B,et al.Evaluating Boolean,AHP and WLC methods for the selection of waste landfill sites using GIS and satellite images[J].Environmental Earth Sciences,2014,71:4221-4233.
[20] 邵萌，史宏达，赵阳，等.基于改进层次分析法的海洋能多能互补选址决策模型[J].太阳能学报，2016,37(9):2443-2450.Shao M,Shi H D,Zhao Y,et al.Location decision model of hybrid marine energy based on improves AHP method[J].Acta Energiae Solaris Sinica,2016,37(9):2443-2450.
[21] 韩林生，王静，高佳，等.山东褚岛北部海域波浪能资源分析[J].太阳能学报，2020,41(2):165-171.Han L S,Wang J,Gao J,et al.Analysis of wave energy resources in the north sea of Dongchu Island[J].Acta Energiae Solaris Sinica,2020,41(2):165-171.
[22] Qiu S,Liu K,Wang D,et al.A comprehensive review of ocean wave energy research and development in China[J].Renewable & Sustainable Energy Reviews,2019(113):109-271.
[23] Liang B,Gao H,Shao Z.Characteristics of global waves based on the third-generation wave model SWAN[J].Marine Structures,2019,64:35-53.
[24] 王静，曹洁，邱粲，等.山东沿海风能资源分布特征及评估[J].南京信息工程大学学报(自然科学版),2014,6(4):342-348.Wang J,Cao J,Qiu C,et al.Distribution characteristics and evaluation of wind energy resources along the coast of Shandong[J].Journal of Nanjing University of Information Technology (Natural Science Edition),2014,6(4):342-348.
[25] 徐狄锷.光伏电站项目效益分析及风险评估[J].经济研究导刊，2020,22:82-83.Xu D E.Project benefit analysis and risk assessment of photovoltaic power station[J].Economic Research Guide,2020,22:82-83.
[26] Chen P.Effects of normalization on the entropy-based TOPSIS method[J].Expert Systems with Applications,2019,136:33-41.
[27] 廖炎平，刘莉，邢超.TOPSIS中不同规范化方法的研究[J].北京理工大学学报，2012,32(5):871-880.Liao Y P,Liu L,Xing C.Investigation of different normalization methods for TOPSIS[J].Transactions of Beijing Institute of Technology,2012,32(5):871-880.
[28] Satty T L.The Analytic Hierarchy Process[M].New York:McGraw-Hill,1980.
[29] Wu Y N,Zhang T,Xu C B,et al.Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach:A two-stage framework[J].Energy Conversion and Management,2019,199:112-130.
[30] 熊黑钢，付金花，王凯龙.基于熵权法的新疆奇台绿洲水资源承载力评价研究[J].中国生态农业学报，2012,20(10):1383-1387.Xiong H G,Fu J H,Wang K L.Evaluation of water resource carrying capacity of Qitai Oasis in Xinjiang by entropy method[J].Chinese Journal of Eco-Agriculture,2012,20(10):1383-1387.
[31] Hwang C L,Yoon K.Multiple Attribute Decision Making:Methods and Applications[M].Berlin:Springer-Heidelberg,1981.
[32] 青岛市海洋与渔业局.青岛市海岛保护规划[EB/OL].(2015-10-24) [2016-06-21].http://ocean.qingdao.gov.cn/n12479801/n12480082/160621093005256828.htmlQingdao Ocean and Fishery Bureau.Qingdao Island Protection Planning[EB/OL].(2015-10-24) [2016-06-21].http://ocean.qingdao.gov.cn/n12479801/n12480082/160621093005256828.html
[33] Magagna D,Uihlein A.Ocean energy development in Europe:Current status and future perspectives[J].International Journal of Marine Energy,2015,11:84-104.
[34] Shao M,Han Z X,Sun J W,et al.A GIS-MCDM combination for the site assessment of wave energy power station in Qingdao,Eastern China[C] //Proceedings of the 30st ISOPE Conference.Shanghai:International Society of Offshore and Polar Engineers,2020:137-143.
[35] 国际海道测量局.大洋地势图[EB/OL].(2003-04-07) [2017-04-18].https://max.book118.com/html/2017/0415/100371018.shtmInternational Hydrographic Bureau.Map of Ocean Topography[EB/OL].(2003-04-07) [2017-04-18].https://max.book118.com/html/2017/0415/100371018.shtm
[36] 山东省海洋与渔业厅.中国近海海洋图集：山东省海岛海岸带著[M].北京：海洋出版社，1999.Department of Oceans and Fisheries of Shandong Province.China Offshore Marine Atlas:Coastal Belts of Islands in Shandong Province[M].Beijing:Ocean Press,1999.
[37] 国家海洋局.中国近海海洋图集：海底地形地貌[M].北京：海洋出版社，2006.State Oceanic Administration.China Offshore Ocean Atlas:Seabed Topography[M].Beijing:Ocean Press,2006.
[38] 《中国海岛志》编纂委员会.中国海岛志(山东卷)[M].北京：海洋出版社，2013.Compilation Committee of “Chinese Islands History”.Chinese Islands History (Shandong Volume)[M].Beijing:Ocean Press,2013.
[39] 山东省生态环境厅.山东省海洋生态环境保护规划[EB/OL].(2019-02-25) [2019-03-14].http://www.eshian.com/laws/45841.htmlShandong Provincial Department of Ecology and Environment.Marine Ecological Environmental Protection Planning of Shandong Province[EB/OL].(2019-02-25) [2019-03-14].http://www.eshian.com/laws/45841.html
基本信息:
DOI：10.16441/j.cnki.hdxb.20210100
中图分类号:P743;TM612
引用信息:
[1]邵萌,张淑蕾,孙金伟,等.基于多准则决策方法的海岛风浪互补电站选址决策研究[J],2022,52(04):120-129.DOI:10.16441/j.cnki.hdxb.20210100.
基金信息:
国家自然科学基金青年基金项目(51609224);; 山东省重点研究发展计划项目(2019GGX103033,2019GGX103015);; 青岛市应用基础研究专项(18-2-2-17-jch)资助~~
2021-03-11
2021
2021-05-12
2021
2021-05-10
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