| 引用本文: | 苏海锋,胡梦锦,梁志瑞.基于时序特性含储能装置的分布式电源规划[J].电力自动化设备,2016,36(6): |
| SU Haifeng,HU Mengjin,LIANG Zhirui.Distributed generation & energy storage planning based on timing characteristics[J].Electric Power Automation Equipment,2016,36(6): |
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| 摘要: |
| 基于风力发电、光伏发电和5类不同负荷的时序特性，以配电网的投资成本、维护成本、购电费用、可靠性成本、环境污染补偿费用之和最小为目标函数，建立分布式电源和储能装置的选址定容规划模型。该模型采用负荷、分布式电源和储能装置协调优化的策略，对钠硫蓄电池储能装置的容量及功率进行优化配置，以在不过多装设储能装置及保证配电网经济性、可靠性的前提下，提高配电网对分布式电源接纳能力。采用粒子群优化算法对典型算例进行求解，结果验证了所提模型和方法的正确性和有效性。 |
| 关键词: 分布式电源 储能 选址定容 时序特性 协调优化 粒子群优化算法 |
| DOI： |
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| 基金项目:中央高校基本科研业务费专项资金资助项目（2015MS85） |
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| Distributed generation & energy storage planning based on timing characteristics |
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SU Haifeng, HU Mengjin, LIANG Zhirui
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School of Electrical and Electronic Engineering，North China Electric Power University，Baoding 071003，China
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| Abstract: |
| Based on the timing characteristics of wind power，photovoltaic generation and five load types，a model with the minimum sum of investment，maintenance cost，power purchase cost，reliability cost and environmental pollution compensation cost of distribution network as its objective is built for the locating and sizing of DG（Distributed Generation） and ES（Energy Storage） device，which adopts the coordinative opti-mization strategy of load，DG and ES to optimize the capacity and power of sodium-sulfur cell for improving the accommodation ability of distribution network to DG with the prerequisite that not too many ESs are installed and the economy and reliability of distribution network are guaranteed. The particle swarm optimization algorithm is adopted to solve the model for a typical case and the results verify the correctness and effectiveness of the proposed model and method. |
| Key words: distributed power generation energy storage locating and sizing timing characteristics coordination and optimization particle swarm optimization algorithm |
