考虑灵活资源调节和可靠性的智能终端优化配置

何贤艺; 熊炜; 陆之洋; 袁旭峰; 张超

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电力建设 ›› 0

考虑灵活资源调节和可靠性的智能终端优化配置

何贤艺, 熊炜, 陆之洋, 袁旭峰, 张超

作者信息 +

Intelligent Terminals Optimal Configuration Considering Flexible Resource Adjustment and Reliability

HE Xianyi, XIONG Wei, LU Zhiyang, YUAN Xufeng, ZHANG Chao

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摘要

【目的】随着分布式电源（distributed generation, DG）、储能系统（energy storage system, ESS）等灵活资源以及智能软开关（soft open point, SOP）在配电网中大规模接入,传统的“二遥”与“三遥”终端配置方法难以满足自动化控制需求,亟需引入“四遥”终端进行协同配置。【方法】考虑“三遥”与“四遥”终端的功能特性,提出一种智能终端双层优化配置方法。上层规划以设备投资运维成本、弃风弃光成本和停电损失成本的综合成本最小化为目标,在保障配电网全局可观性的基础上,构建终端选址优化模型;下层运行基于上层规划结果,面向N-1故障恢复场景,建立以停电损失、弃风弃光成本和电压偏移量最小化为目标的多目标优化模型。针对所提模型,采用黏菌优化算法（slime mould algorithm,SMA）与二阶锥规划混合算法进行求解。【结果】算例结果表明,所提方法与未配置终端及仅配置“三遥”终端的方案相比,综合成本分别下降69.15%和7.11%,供电可靠性分别提升0.026 1%和0.002 2%,弃风弃光总电量分别下降37.79%和4.46%,电压偏移量分别降低53.04%和49.43%。【结论】所提出的配置方法在提升投资经济性、供电可靠性、新能源消纳能力以及改善电压质量方面等多方面具有显著优势,并能兼顾多种灵活性资源场景,为柔性配电网中“三遥”和“四遥”终端的协同配置提供了理论依据。

Abstract

[Objective] With the large-scale integration of flexible resources such as distributed generation (DG), energy storage systems (ESS), and soft open points (SOP) in distribution networks, the traditional “two-remote” and “three-remote” terminal configuration methods are no longer sufficient to meet the needs of automated control. There is an urgent need to introduce “four-remote” terminals for coordinated configuration. [Methods] Considering the functional characteristics of “three-remote” and “four-remote” terminals, a two-layer optimization configuration method for intelligent terminals is proposed. The upper-layer planning aims to minimize the comprehensive cost, including equipment investment and maintenance costs, wind and solar curtailment costs, and power outage losses, while ensuring the global observability of the distribution network. A terminal location optimization model is constructed. The lower-layer operation, based on the upper-layer planning results, establishes a multi-objective optimization model for N-1 fault recovery scenarios, targeting the minimization of power outage losses, wind and solar curtailment costs, and voltage deviations. The proposed model is solved using a hybrid algorithm combining the slime mould algorithm (SMA) and second-order cone programming. [Results] Validation test case shows that the proposed method reduces the comprehensive cost by 69.15% and 7.11% compared to scenarios without terminal configuration and with only “three-remote” terminal configuration, respectively. It improves power supply reliability by 0.026 1% and 0.002 2%, reduces total wind and solar curtailment by 37.79% and 4.46%, and decreases voltage deviations by 53.04% and 49.43%. [Conclusions] The proposed configuration method demonstrates significant advantages in improving investment economics, power supply reliability, renewable energy integration capability, and voltage quality. It also accommodates various flexible resource scenarios, providing a theoretical basis for the coordinated configuration of “three-remote” and “four-remote” terminals in flexible distribution networks.

导出引用

何贤艺, 熊炜, 陆之洋, 袁旭峰, 张超. 考虑灵活资源调节和可靠性的智能终端优化配置[J]. 电力建设. 0

HE Xianyi, XIONG Wei, LU Zhiyang, YUAN Xufeng, ZHANG Chao. Intelligent Terminals Optimal Configuration Considering Flexible Resource Adjustment and Reliability[J]. Electric Power Construction. 0

中图分类号： TM732

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