Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices

As a major energy-saving industry, power industry has implemented energy-saving generation dispatching. Apart from security and economy, low carbon will be the most important target in power dispatch mechanisms. In this paper, considering a power system with many thermal power generators which use d...

Full description

Saved in:
Bibliographic Details
Main Authors: Minru Bai, Zhupei Yang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/356527
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832554103899684864
author Minru Bai
Zhupei Yang
author_facet Minru Bai
Zhupei Yang
author_sort Minru Bai
collection DOAJ
description As a major energy-saving industry, power industry has implemented energy-saving generation dispatching. Apart from security and economy, low carbon will be the most important target in power dispatch mechanisms. In this paper, considering a power system with many thermal power generators which use different petrochemical fuels (such as coal, petroleum, and natural gas) to produce electricity, respectively, we establish a self-scheduling model based on the forecasted locational marginal prices, particularly taking into account CO2 emission constraint, CO2 emission cost, and unit heat value of fuels. Then, we propose a distributionally robust self-scheduling optimization model under uncertainty in both the distribution form and moments of the locational marginal prices, where the knowledge of the prices is solely derived from historical data. We prove that the proposed robust self-scheduling model can be solved to any precision in polynomial time. These arguments are confirmed in a practical example on the IEEE 30 bus test system.
format Article
id doaj-art-9ece6b9e5765469392d244bb09426fd5
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-9ece6b9e5765469392d244bb09426fd52025-02-03T05:52:20ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/356527356527Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of PricesMinru Bai0Zhupei Yang1College of Mathematics and Econometric, Hunan University, Changsha, Hunan 410082, ChinaChina CITIC Bank, Changsha Shuyuan Road Branch, Changsha, Hunan 410015, ChinaAs a major energy-saving industry, power industry has implemented energy-saving generation dispatching. Apart from security and economy, low carbon will be the most important target in power dispatch mechanisms. In this paper, considering a power system with many thermal power generators which use different petrochemical fuels (such as coal, petroleum, and natural gas) to produce electricity, respectively, we establish a self-scheduling model based on the forecasted locational marginal prices, particularly taking into account CO2 emission constraint, CO2 emission cost, and unit heat value of fuels. Then, we propose a distributionally robust self-scheduling optimization model under uncertainty in both the distribution form and moments of the locational marginal prices, where the knowledge of the prices is solely derived from historical data. We prove that the proposed robust self-scheduling model can be solved to any precision in polynomial time. These arguments are confirmed in a practical example on the IEEE 30 bus test system.http://dx.doi.org/10.1155/2014/356527
spellingShingle Minru Bai
Zhupei Yang
Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
Journal of Applied Mathematics
title Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
title_full Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
title_fullStr Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
title_full_unstemmed Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
title_short Distributionally Robust Self-Scheduling Optimization with CO2 Emissions Constraints under Uncertainty of Prices
title_sort distributionally robust self scheduling optimization with co2 emissions constraints under uncertainty of prices
url http://dx.doi.org/10.1155/2014/356527
work_keys_str_mv AT minrubai distributionallyrobustselfschedulingoptimizationwithco2emissionsconstraintsunderuncertaintyofprices
AT zhupeiyang distributionallyrobustselfschedulingoptimizationwithco2emissionsconstraintsunderuncertaintyofprices