| 引用本文: | 刘佳,徐谦,程浩忠,兰洲,马则良,朱忠烈.考虑N-1安全的分布式电源多目标协调优化配置[J].电力自动化设备,2017,37(7): |
| LIU Jia,XU Qian,CHENG Haozhong,LAN Zhou,MA Zeliang,ZHU Zhonglie.Multi-objective coordinated DG planning with N-1 security[J].Electric Power Automation Equipment,2017,37(7): |
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| 摘要: |
| 现有风电和光伏分布式电源(DG)规划模型均未计及配电网中的主变、馈线N-1约束，所得配置方案未必满足安全性要求。为解决该问题，提出一种考虑N-1安全的多目标DG选址定容规划模型。基于安全距离模型，介绍配电网N-1安全评估方法和指标；利用准蒙特卡洛模拟和奇异值分解生成风光荷相关性样本矩阵以提高规划结果准确性；以年综合费最小和安全距离均衡比最小为多目标，利用机会约束规划方法建立DG规划模型，并采用正态边界交点联合动态小生境差分进化算法对模型加以求解。算例结果表明，所得选址定容规划方案能保证N-1安全，实现了综合考虑系统经济性、安全性下的最优，验证了所提模型和算法是合理、有效的。 |
| 关键词: 智能配电网 分布式电源 选址定容 N-1安全 动态小生境差分进化算法 模型 |
| DOI：10.16081/j.issn.1006-6047.2017.07.013 |
| 分类号:TM715 |
| 基金项目:国家重点研发计划项目(2016YFB0900102)；国家电网公司科技项目(5211JY160004) |
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| Multi-objective coordinated DG planning with N-1 security |
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LIU Jia1, XU Qian2, CHENG Haozhong1, LAN Zhou2, MA Zeliang3, ZHU Zhonglie3
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1.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China;2.State Grid Zhejiang Electric Power Corporation Economic Research Institute, Hangzhou 310008, China;3.East China Branch of State Grid Corporation of China, Shanghai 200120, China
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| Abstract: |
| Since the existing planning model of distributed wind-turbine and photovoltaic generations DGs(Distributed Generations) does not take the N-1 constraint of main transformers and feeders into account, the obtained planning scheme may not satisfy the security requirement, for which, a multi-objective planning model with N-1 security is proposed for the siting and sizing of DGs. The method and indexes of N-1 security evaluation are introduced based on the security distance model. The quasi Monte Carlo simulation and singular value decomposition are adopted to generate the correlation sample matrix among wind speed, light intensity and load for improving the accuracy of planning results. The chance-constrained programming method is applied to build the DG planning model with the minimum annual comprehensive cost and the minimum security distance equilibrium ratio as its optimization objectives and the dynamic niche differential evolution algorithm, combined with the normal boundary intersection, is adopted to solve the model. Case results show the DG siting and sizing scheme obtained ensures the N-1 security and realizes the optimal system economy and security, proving the rationality and effectiveness of the proposed model and algorithm. |
| Key words: smart distribution grid distributed generation siting and sizing N-1 security dynamic niche differential evolution algorithm models |
