| 引用本文: | 李咸善,方婧,郭诗书,等.基于灵敏度分析的并网型微电网容量优化配置[J].电力系统保护与控制,2018,46(23):8-17.[点击复制] |
| LI Xianshan,FANG Jing,GUO Shishu,et al.Capacity sizing optimal for grid-connected micro-grid based on sensitivity analysis[J].Power System Protection and Control,2018,46(23):8-17[点击复制] |
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| 摘要: |
| 微电网优化设计是一类全生命周期的多目标优化问题。既要从多种配置方案中寻找最优方案，又要考察优化方案全生命周期的适应性。文中提出了一种基于灵敏度分析的微电网容量优化配置思想。根据待建微电网所处的地域风光等资源分布特点，建立多种微电网候选配置方案。采用拟合法建立优化目标与关键因素之间的函数关系，求出优化目标对这些关键因素的灵敏度。根据灵敏度大小判断关键因素变化对优化结果的影响程度，获得微电网全生命周期适应性优化配置方案。以某微电网示范工程为例，采用该方法进行了优化设计，验证了该方法的可行性。 |
| 关键词: 微电网 容量配置 灵敏度分析 优化 配置方案 |
| DOI：10.7667/PSPC171774 |
| 投稿时间：2017-12-06修订日期：2018-05-02 |
| 基金项目:国家自然科学基金项目资助(51277110);湖北省自然科学基金计划重点项目资助(2016CFA097) |
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| Capacity sizing optimal for grid-connected micro-grid based on sensitivity analysis |
| LI Xianshan,FANG Jing,GUO Shishu,LU Lun,FAN Yumeng,YI Ming,ZHANG Jinwei |
| (Hubei Provincial Collaborative Innovation Center for New Energy Micro-Grid Three Gorges University, Yichang 443002, China;Operation and Control of Cascade Hydropower Stations of Hubei Provincial Key Laboratory, Yichang 443002, China) |
| Abstract: |
| The micro-grid optimization design is a kind of whole life cycle multi-objective optimization problem. It is not only to find the optimal scheme from a variety of allocation schemes, but also to study the whole life cycle adaptability of the optimization scheme. In this paper, the micro-grid capacity optimization allocation based on sensitivity analysis is proposed. According to the characteristics of natural resources in the area where the micro-grid is to be built, a variety of micro-grid candidate allocation schemes are established. The function between the optimization goal and some key factors is established by fitting method, and the sensitivity of key factors to optimization goal is calculated. By sensitivity analysis, the effect of the key factors change on the optimization result is estimated, and the best optimal allocation scheme of the whole life cycle adaptability of the micro-grid is designed. This method is validated by using the optimization design of a micro-grid demonstration project. This work is supported by National Natural Science Foundation of China (No. 51277110) and Key Project of Natural Science Foundation of Hubei Province (No. 2016CFA097). |
| Key words: micro-grid capacity sizing sensitivity analysis optimal allocation scheme |
