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基于分级风险管理的冷链物流园区多目标优化运行策略

龚桃荣 王舒杨 代勇奇 梁琛

电力需求侧管理2025,Vol.27Issue(6):23-30,8.
电力需求侧管理2025,Vol.27Issue(6):23-30,8.DOI:10.3969/j.issn.1009-1831.2025.06.004

基于分级风险管理的冷链物流园区多目标优化运行策略

Distributed PV accommodation strategy for cold chain logistics parks based on hierarchical risk management

龚桃荣 1王舒杨 1代勇奇 1梁琛2

作者信息

  • 1. 需求侧多能互补优化与供需互动技术北京市重点实验室(中国电力科学研究院有限公司),北京 100192
  • 2. 国网甘肃省电力公司 电力科学研究院,兰州 730070
  • 折叠

摘要

Abstract

To address the collaborative optimization challenges of microgrids containing distributed photovoltaics(PV)in cold chain logis-tics parks,where the refrigeration systems require 24-hour continuous operation to maintain strict temperature control(-18℃±2℃)while PV output concentrates during 10:00-15:00 and logistics operations mainly occur in early morning and evening,this temporal mismatch between power demand and PV generation leads to severe PV curtailment.Proposing a scheduling strategy that balances PV consumption rate and operational economy.This strategy tackles the issues of high PV curtailment caused by strong PV output randomness and the com-plexity of multi-objective cooperative optimization.A tripartite collaborative architecture of"source-load-storage"is constructed.Typical PV output scenarios and their probability distributions are generated using the k-means clustering algorithm.Downside risk constraints are employed to quantify the cost fluctuation risk under these scenario probabilities,providing a continuous regulation space spanning from risk aversion to risk neutrality.A multi-objective optimization model is established to maximize the PV consumption rate and minimize the comprehensive operational cost.A dynamic-weight ideal point method based on the rate of change of the objective functions is proposed.An improved escape algorithm is designed to solve this model.Case studies demonstrate that under a defined risk regulation level,the park's PV consumption rate reaches 95.13%,and the daily operating cost is reduced to RMB 7 356,representing a cost reduction of 21.60%compared to pre-optimization levels.The results verify that the proposed collaborative optimization method can effectively en-hance distributed PV consumption capability and operational economy.It provides a viable solution and theoretical foundation for schedul-ing complex microgrids containing high-penetration renewable energy and thermostatically controlled loads.

关键词

冷链物流/分布式光伏/微电网优化/下行风险/多目标优化

Key words

cold chain logistics/distributed photovoltaic/microgrid optimization/downside risk/multi-objective optimization

分类

动力与电气工程

引用本文复制引用

龚桃荣,王舒杨,代勇奇,梁琛..基于分级风险管理的冷链物流园区多目标优化运行策略[J].电力需求侧管理,2025,27(6):23-30,8.

基金项目

国家电网公司总部科技项目(5400-202433204A-1-1-ZN) (5400-202433204A-1-1-ZN)

电力需求侧管理

1009-1831

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