引用本文: | 陈 倩,王维庆,王海云.基于需求侧响应的主动配电网双层优化方法[J].电力系统保护与控制,2022,50(16):1-13.[点击复制] |
CHEN Qian,WANG Weiqing,WANG Haiyun.Bi-level optimization model of an active distribution network based on demand response[J].Power System Protection and Control,2022,50(16):1-13[点击复制] |
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摘要: |
分布式电源在配电网中渗透率越来越高,导致配电网电压越限问题凸显,对此构建协同考虑主动配电网设备规划和运行的双层优化模型。上层模型考虑配电网中分布式电源、静止无功补偿器及电容器组的容量配置优化以减少配电网投资运行成本。下层模型考虑需求侧响应,有载调压变压器、储能及分布式电源等设备的协调控制,着重提高电压稳定性。针对模型特征,采用基于改进麻雀算法和二阶锥规划的混合优化算法进行求解。外部采用改进麻雀算法求解多维变量以提高求解速度,内部基于二阶锥规划求得配电网主动管理控制策略。最后采用改进的IEEE33节点系统进行仿真验证。结果表明,所提出双层优化方法可以有效提高配电网运行经济性,改善配电网电压分布,平抑负荷峰谷差。 |
关键词: 分布式发电 无功优化 主动配电网 需求侧响应 双层模型 |
DOI:DOI: 10.19783/j.cnki.pspc.211516 |
投稿时间:2021-11-09修订日期:2022-02-25 |
基金项目:国家自然科学基金项目资助(52067020);新疆维吾尔自治区教育厅重点项目资助(XJEDU2019I009) |
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Bi-level optimization model of an active distribution network based on demand response |
CHEN Qian,WANG Weiqing,WANG Haiyun |
(Engineering Research Center of Education Ministry for Renewable Energy Power Generation and
Grid-connected Control, Xinjiang University, Urumqi 830047, China) |
Abstract: |
The penetration of distributed generation (DG) is becoming higher and higher in the distribution network, and so it is difficult to completely eliminate the voltage ‘out of limit’ of the network. This paper constructs a bi-level optimization model considering equipment planning and the operation of an active distribution network. The upper model considers the capacity allocation optimization of DG, static var compensator (SVC) and capacitor bank (CB) in the network to reduce the investment and operational cost. In the lower model, the coordinated control of demand response (DR), on-load tap changer (OLTC), energy storage (ES) and DG are considered to improve voltage stability. From the characteristics of the model, a hybrid optimization algorithm based on the improved sparrow algorithm (CLSSA) and second-order cone (SOC) programming are used to solve the problem. The CLSSA algorithm is used to determine multi-dimensional variables externally to improve the solution speed, and the active management and control strategy of the network is obtained internally based on SOC programming. Finally, the modified IEEE33-bus system is used for simulation verification. The results show that the bi-level optimization model can effectively enhance the operation economy of the distribution network, improve the network voltage distribution and stabilize peak-valley difference.
This work is supported by the National Natural Science Foundation of China (No. 52067020). |
Key words: distributed generation reactive power optimization active distribution network demand response bi-level model |