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| 考虑相关性的间歇性分布式电源选址定容规划 | |
| 引用本文： | 张沈习,李珂,程浩忠,姚良忠,Masoud BAZARGAN.考虑相关性的间歇性分布式电源选址定容规划[J].电力系统自动化,2015,39(8):53-58. |
| 作者姓名： | 张沈习 李珂 程浩忠 姚良忠 Masoud BAZARGAN |
| 作者单位： | 1. 电力传输与功率变换控制教育部重点实验室 上海交通大学,上海市,200240 2. 中国电力科学研究院,北京市,100192 3. 阿尔斯通电网集团技术研究中心，斯塔福德 ST1 74LN，英国 |
| 基金项目： | 国家科技支撑计划资助项目(2013BAA01B04);国家自然科学基金资助项目(51261130473) |
| 摘 要： | 节能减排背景下,以分布式风电和光伏为代表的间歇性分布式电源得到了快速发展。考虑风速、光照强度和负荷间的相关性,以年综合费最小为目标,利用机会约束规划方法建立了间歇性分布式电源选址定容规划模型。采用秩相关系数矩阵表征风速、光照强度和负荷间的相关性,利用拉丁超立方采样和Cholesky分解生成相关性样本矩阵。应用动态小生境差分进化算法对规划模型进行求解。IEEE 33节点配电网算例的仿真结果验证了模型的合理性。 |
| 关 键 词： | 配电网 间歇性分布式电源 选址定容 相关性 动态小生境差分进化算法 |
| 收稿时间： | 2014/4/23 0:00:00 |
| 修稿时间： | 2014/9/25 0:00:00 |
Optimal Siting and Sizing of Intermittent Distributed Generator Considering Correlations |
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| ZHANG Shenxi,LI Ke,CHENG Haozhong,YAO Liangzhong and Masoud BAZARGAN.Optimal Siting and Sizing of Intermittent Distributed Generator Considering Correlations[J].Automation of Electric Power Systems,2015,39(8):53-58. | |
| Authors: | ZHANG Shenxi LI Ke CHENG Haozhong YAO Liangzhong and Masoud BAZARGAN |
| Affiliation: | Key Laboratory of Control of Power Transmission and Transformation (Shanghai Jiao Tong University), Ministry of Education, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Transformation (Shanghai Jiao Tong University), Ministry of Education, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Transformation (Shanghai Jiao Tong University), Ministry of Education, Shanghai 200240, China,China Electric Power Research Institute, Beijing 100192, China and ALSTOM Grid Research & Technology Centre, Stafford ST17 4LN, UK |
| Abstract: | Under the background of energy conservation, the intermittent distributed generator has been developed rapidly. It is represented by distributed wind turbine generator and photovoltaic generator. Based on the chance constrained programming, this paper proposes a model for optimal siting and sizing of intermittent distributed generator with the objective of minimizing annual comprehensive cost. The proposed model can take the correlations among wind speed, illumination intensity and load demand into account. The correlations are characterized by rank correlation coefficient matrix, Latin hypercube sampling and Cholesky decomposition are applied to generate the correlated samples. Dynamic niche differential evolution algorithm is used to solve the model. Case studies are carried out on the IEEE 33-bus distribution network, and the results verify the feasibility of the proposed model. This work is supported by National Key Technology R&D Program (No. 2013BAA01B04) and National Natural Science Foundation of China (No. 51261130473). |
| Keywords: | distribution network intermittent distributed generator siting and sizing correlation dynamic niche differential evolution algorithm |
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