A Spatial Multi-Period Mixed Integer Linear Programming (MILP) Model for Optimal Power Planning: CO2 Emissions Mitigation

被引：0

作者：

Guerra, Omar J. ^{[1
]}

Tejada, Diego A. ^{[2
]}

Rodriguez, Raul ^{[3
]}

Reklaitis, Gintaras V. ^{[1
]}

机构：

[1] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA

[2] Market Experts SA, XM, Medellin, Colombia

[3] Energy & Min Planning Unit UPME, Bogota, Colombia

来源：

12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C | 2015年 / 37卷

关键词：

optimization; power planning; CO2; emissions; OPTIMIZATION MODEL; ENERGY; SYSTEM;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This paper presents a spatial multi-period MILP optimization model for optimal power generation expansion planning with CO2 emission constraints. This model examines CO2 emission and resource adequacy on a regional basis. Resource adequacy constraints, reserve margin, and spinning reserves, ensure safe and reliable operation of the grid in real time. The features of the proposed model are illustrated through case studies related to the Colombian power system, including hydroelectric, coal, and natural gas power plants.

引用

页码：2345 / 2350

页数：6

共 8 条

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