| 引用本文: | 宋云超,王 丹,何 伟,等.基于场景构建技术的含多种清洁能源微能源网
多目标随机规划研究[J].电力系统保护与控制,2021,49(3):20-31.[点击复制] |
| SONG Yunchao,WANG Dan,HE Wei,et al.Research on multi-objective stochastic planning of a micro energy grid with multiple clean energy sources based on scenario construction technology[J].Power System Protection and Control,2021,49(3):20-31[点击复制] |
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| 摘要: |
| 为实现微能源网经济高效、可持续发展，提出了多种清洁能源利用的微能源网架构模型与运行策略。分析了影响微能源网规划的多种不确定因素，将典型日风速、光照和负荷数据状态矩阵与Copula函数相结合，综合考虑随机变量的时序性和互相关性，构建微能源网多种运行场景。以全生命周期成本最小和碳排放量最小建立微能源网的多目标随机规划模型。在Matlab仿真平台通过NSGA-II算法求取Pareto前沿，结合多目标优选决策方法确定规划方案。通过具体算例分析了影响微能源网多目标随机规划的因素，验证了规划模型的可行性与有效性。 |
| 关键词: 微能源网 场景构建技术 多目标随机规划 Pareto前沿 |
| DOI：DOI: 10.19783/j.cnki.pspc.200407 |
| 投稿时间：2020-04-17修订日期：2020-12-20 |
| 基金项目:国家电网有限公司2020年总部科技项目资助“乡村典型场景电气化项目一体化解决方案设计及示范工程建设”(5400-202025208A-0-0-00) |
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| Research on multi-objective stochastic planning of a micro energy grid with multiple clean energy sources based on scenario construction technology |
| SONG Yunchao,WANG Dan,HE Wei,XIONG Huaqiang,WANG Peiting,LEI Yang |
| (1. Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072, China;
2. State Grid Jiangxi Electric Power Co., Ltd. Research Institute, Nanchang 330096, China) |
| Abstract: |
| In order to realize the economical, efficient and sustainable development of micro-energy grids, this paper proposes a micro energy grid architecture model and operating strategies for multiple clean energy use. We analyze various uncertain factors affecting micro energy grid planning, and combine the state matrix of typical daily wind speed, light, and load data with the Copula function. The timing and cross-correlation of random variables are comprehensively considered to construct a variety of operating scenarios for the micro energy grid. A multi-objective stochastic planning model of a micro energy network is established with minimum life cycle cost and minimum carbon emission. The Matlab simulation platform is used to obtain the Pareto front by the NSGA-II algorithm, combining multi-objective optimization decision methods to determine planning schemes. The factors affecting multi-objective stochastic planning of micro energy grids are analyzed through specific examples, and the feasibility and effectiveness of the planning model are verified.
This work is supported by the Science and Technology Project of State Grid Corporation of China in 2020 “Integrated Solution Design and Demonstration Project Construction for Rural Typical Scene Electrification Projects” (No. 5400-202025208A-0-0-00). |
| Key words: micro energy grid scene construction technology multi-objective stochastic planning Pareto frontier |
