Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways

LIAO Haizhu; HU Haitao; HUANG Yi; GE Yinbo; GENG Anqi; WANG Ke

doi:10.13890/j.issn.1000-128X.2022.03.001

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Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways

General | 更新时间：2024-08-02

- Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways
- Electric drive for locomotives Issue 3, Pages: 1-9(2022)
- 作者机构：
  
  西南交通大学电气工程学院，四川成都　　611756
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2022.03.001
  CLC： U223.5
- Published：10 May 2022，
  
  Received：08 April 2022，
  
  Revised：30 April 2022，
- 稿件说明：
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LIAO Haizhu, HU Haitao, HUANG Yi, et al. Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways. [J]. Electric drive for locomotives (3):1-9(2022)
DOI：

LIAO Haizhu, HU Haitao, HUANG Yi, et al. Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways. [J]. Electric drive for locomotives (3):1-9(2022) DOI： 10.13890/j.issn.1000-128X.2022.03.001.

摘要

为充分发挥“源-网-车-储”协同供能系统的潮流灵活控制能力，提升电气化铁路再生制动能量与新能源消纳能力，研究一种基于列车负荷与新能源发电预测数据的牵引变电所级“源-网-车-储”协同供能系统日前能量优化与调度策略。首先，以最小化牵引变电所日运行成本为总目标，建立了计及系统电能质量指标的“源-网-车-储”协同供能系统日前能量优化与调度模型；其次，对模型中的非线性约束进行线性化处理，将其转化为混合整数线性规划问题，并通过CPLEX求解器进行求解；最后，以某高速铁路牵引变电所为例进行了案例分析。结果表明，相比于既有基于规则的铁路能量管理策略，所提策略能够有效发挥系统的灵活性，进一步降低牵引变电所的单日运行成本，提升系统的再生制动能量和新能源消纳能力。

Abstract

To bring into full play of the flexible power flow control of the "source-network-train-storage" coordinated power supply system in improving the regenerative braking energy and renewable energy accommodation

a day-ahead energy optimization and scheduling strategy at the traction substation level based on train loads and new energy generation forecast data was proposed. Firstly

the day-ahead energy optimization and scheduling model was established in which the system power quality index is incorporated

to minimize the daily operation cost of traction substations. Secondly

the nonlinear constraints in the model were linearized and transformed into a mixed-integer linear programming problem

which was then solved by the CPLEX solver. Finally

the case study was conducted

taking a high-speed railway traction substation as an example. The results show that the proposed strategy is more conductive to the effective and flexible system application

compared with the rules-based railway energy management strategy in service

thus further reducing the daily operation cost of traction substations and improving the regenerative braking energy and renewable energy accommodation of electrified railways.

关键词

电气化铁路源-网-车-储混合储能光伏电压不平衡混合整数线性规划日前调度高速铁路

Keywords

electrified railwayssource-network-train-storagehybrid energy storagephotovoltaicvoltage unbalancemixed-integer linear programmingday-ahead schedulinghigh-speed railway

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