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基于四大沙漠风电光伏基地开发布局问题进行了模型构建，制定了时序开发策略并进行了仿真验证；采用分层聚类的方法对IEEE 30节点系统进行了电气聚类，对构建的四大沙漠风光基地空间布局模型使用改进粒子群算法进行了求解，对时序优化策略的结果进行了分析。分析认为： 建立的风电光伏空间布局模型比较准确，能够模拟四大沙漠风光的分布特性，操作时的仿真条件与实际情况比较接近，可为四大沙漠风电光伏布局的建设开发、时序规划等提供较准确的设计方案和投资策略。
Abstract：This paper constructs a model based on the development and layout of four-desert wind power photovoltaic(PV) bases, formulates the timing development strategy and carries out simulation verification. The hierarchical clustering method is used to carry out electrical clustering of the IEEE 30-node system, and the constructed spatial layout model of the four- desert wind power photovoltaic(WPPV) bases is solved using the improved particle swarm algorithm(IPSA), and the results of the timing sequence optimization strategy are analyzed, which suggests that the established spatial layout model of wind power and photovoltaic is relatively accurate, and can simulate the distribution characteristics of the four major desert wind power and photovoltaic, and the simulation conditions during operation are closer to the actual situation, which can provide more accurate design schemes and investment strategies for the construction and development of the four major desert wind power and photovoltaic layouts, timing planning and other issues.
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基本信息:
DOI：10.19929/j.cnki.nmgdljs.2024.0053
中图分类号:
引用信息:
[1]刘会强1,李殊瑶1,张爱军1等.四大沙漠风光基地空间布局及时序优化策略[J],2024,42(04):48-55.DOI:10.19929/j.cnki.nmgdljs.2024.0053.
基金信息:
国家重点研发计划项目“大规模可再生能源基地特高压多端直流输电外送关键技术”（2023YFB2405900）;内蒙古电力（ 集团） 有限责任公司科技项目“ 双碳背景下内蒙古超高比例新能源大送端电力系统结构形态及演化路径研究”（DK-ZXZB-2023-DLXTJSYJS-0401-0230）