CHPP OPERATION MODE OPTIMIZATION UNDER ELECTRICITY AND GAS MARKET CONDITIONS USING A GENETIC ALGORITHM

被引：1

作者：

Kozadajevs, J. ^{[1
]}

Dolgicers, A. ^{[1
]}

Boreiko, D. ^{[1
]}

机构：

[1] Riga Tech Univ, Inst Power Engn, 12-1 Azenes Str, LV-1010 Riga, Latvia

来源：

LATVIAN JOURNAL OF PHYSICS AND TECHNICAL SCIENCES | 2021年 / 58卷 / 03期

关键词：

CHPP operation; electricity market; gas market; genetic algorithm; optimization; SYSTEM;

D O I：

10.2478/lpts-2021-0023

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

The article presents an operation planning optimisation approach using a genetic algorithm for CHPPs in an urban heat supply zone. Changes in market environment will result in a significant change in energy system planning and operation. For efficient production planning in the liberalized power markets, it is paramount to determine the optimal strategies over a time horizon. Solution of an optimization task of such complexity requires a well-crafted set of tailored modelling, simulation, optimization, and forecasting tools. A well-designed solution is unthinkable without a great number of production units, such as gas turbines, steam turbines, heat-only boilers, and thermal storages, reflected by the optimization model.

引用

页码：154 / 168

页数：15

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