Long-Term Planning with Battery-Based Energy Storage Transportation in Power System

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI:10.1109/GREENTECH.2017.53

Dan Lu, Zuyi Li

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引用次数: 8

Abstract

This paper presents integrating the Battery-based Energy Storage Transportation (BEST) into optimization of generation and transmission planning in electric power system. BEST is the transportation of modular battery-based energy storage (BES) with gird-connection capabilities on train cars via existing railroad tracks to grid locations. BEST not only provides energy storage, but also transport the energy from source to load center. This makes BEST a better way to substitute generation and transmission planning within its ability. The objective function of this problem is minimizing the total system planning cost which consisted with the investment cost of candidate generation units, transmission lines and BES, operation cost of all running generation units and BES, and penalty of loss of load. A 6-bus system with 3 stations which can charging/discharging with grid is used in the numerical simulations, and the results shows the flexibility and optimization of BES compared to generation and transmission planning only. Renewable energy sources (RES) as one kind of candidate units will be added to the problem.

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基于电池储能运输的电力系统长期规划

将基于电池的储能运输技术(BEST)集成到电力系统的发电和输电规划优化中。BEST是将具有电网连接能力的模块化电池储能(BES)通过现有的铁路轨道运输到电网位置。BEST不仅提供能量储存，还将能量从源头输送到负荷中心。这使得BEST在其能力范围内替代发电和输电规划成为一种更好的方式。该问题的目标函数是使候选发电机组、输电线路和BES的投资成本、所有运行发电机组和BES的运行成本以及负荷损失惩罚构成的系统总体规划成本最小。以6母线3站并网充放电系统为例进行了数值模拟，结果表明，与单纯的发电和输电规划相比，BES具有较强的灵活性和优化能力。可再生能源(RES)作为一种候选发电机组，将会被加入到这个问题中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)

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