| 引用本文: | 施泉生,郭良合,张孝君.综合考虑多主体经济效益的分布式电源优化配置研究[J].电力系统保护与控制,2016,44(1):85-91.[点击复制] |
| SHI Quansheng,GUO Lianghe,ZHANG Xiaojun.Research on optimal configuration of distributed generation considering economic benefits of the multi-agent[J].Power System Protection and Control,2016,44(1):85-91[点击复制] |
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| 摘要: |
| 分布式电源接入配电网，会对DG投资商、配电网公司及用户等相关主体的经济效益产生影响。从分析DG接入配电网对系统网损、电压分布和用户可靠性影响出发，在潮流计算的基础上，首先通过计算能反映各节点负荷对系统网损影响程度的指标，即视在二次精确矩和能反映配电网中母线电压稳定性的指标，并结合用户的可靠性要求，先得到DG并入电网的候选位置。然后，分别以DG独立投资商单位年投资效益最大和DG接入改善电网所得效益最大为目标建立多目标优化函数。模型求解中，利用改进的非劣排序遗传算法，通过分段式染色体操作，实现DG类型、位置及接入容量的同时优化。利用能反映用户效益的评价协调函数对算法所得结果做进一步的选择，使最终所得的结果更科学合理。最后，利用IEEE69节点系统进行仿真算例分析，验证了所提DG优化配置模型和协调规划方法的正确性。 |
| 关键词: 分布式电源 多目标协调优化 非劣排序遗传算法 评价协调函数 多主体的经济效益 |
| DOI：10.7667/j.issn.1674-3415.2016.01.012 |
| 投稿时间：2015-03-20修订日期：2015-05-25 |
| 基金项目: |
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| Research on optimal configuration of distributed generation considering economic benefits of the multi-agent |
| SHI Quansheng,GUO Lianghe,ZHANG Xiaojun |
| (Shanghai University of Electric Power, Shanghai 200090, China;Taian Power Supply Company,
State Grid Shandong Electric Power Company, Taian 271000, China) |
| Abstract: |
| The distributed generation (DG) connected to power distribution network affects economic benefits of the distribution network operators (DNOs), DG investors and customers. Firstly, based on the analysis of DG’s influence on distribution of voltage, line losses as well as the reliability of nodes, this paper concludes the candidate locations of DG by calculating the index reflecting the influence degree of each node’s load on the system losses, i.e. the secondary precise moment and the index that can indicate the bus voltage stability, combined with the user's reliability requirements. Then, multi-objective optimization function is established based on maximum unit yearly benefits of the DG independent investors and the maximum benefits obtained by DG integrating into the improved grid. In solving this model, this paper uses the improved non-inferiority genetic algorithm and segmented chromosome manipulation to achieve the optimization of DG types, location and access capacity simultaneously. The algorithm results is selected further by using coordination function to make the final result obtained more scientific and reasonable. At last, the simulation is conducted on the 69-bus distribution system. The result validates the constructed models and the proposed methods about coordinated plan. |
| Key words: distributed generation cooperation of multi-objectives optimization non-dominated sorting genetic algorithm evaluation and coordination function economic benefits of multi-agent |
