Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction
Abstract An iterative method based on Shapley Value Cooperative Game Theory is proposed for the calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a network. The LMP value is determined for each DG on the basis of its contribution to reduce loss and emission reducti...
Guardado en:
Autor principal: | |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
SpringerOpen
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/af7c4313f34c4c938d61ed4bfa8fe5b3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:af7c4313f34c4c938d61ed4bfa8fe5b3 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:af7c4313f34c4c938d61ed4bfa8fe5b32021-11-14T12:38:47ZShapley value cooperative game theory-based locational marginal price computation for loss and emission reduction10.1186/s41601-021-00211-02367-26172367-0983https://doaj.org/article/af7c4313f34c4c938d61ed4bfa8fe5b32021-11-01T00:00:00Zhttps://doi.org/10.1186/s41601-021-00211-0https://doaj.org/toc/2367-2617https://doaj.org/toc/2367-0983Abstract An iterative method based on Shapley Value Cooperative Game Theory is proposed for the calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a network. The LMP value is determined for each DG on the basis of its contribution to reduce loss and emission reduction, which is assessed using the Shapley Value approach. The proposed approach enables the Distribution Company (DISCO) decision-maker to operate the network optimally in terms of loss and emission. The proposed method is implemented in the Taiwan Power Company distribution network 7 warnings consisting of 84 buses and 11 feeders in the MATLAB environment. The results show that the proposed approach allows DISCO to operate the network on the basis of its priority between the reduction of active power loss and emission in the networkVenkataramana VeeramsettySpringerOpenarticleDistributed Generator (DG)Locational Marginal Price (LMP)Loss reductionEmission reductionShapley Value Method Decision MakingDistribution Company (DISCO)Distribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENProtection and Control of Modern Power Systems, Vol 6, Iss 1, Pp 1-11 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Distributed Generator (DG) Locational Marginal Price (LMP) Loss reduction Emission reduction Shapley Value Method Decision Making Distribution Company (DISCO) Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 |
spellingShingle |
Distributed Generator (DG) Locational Marginal Price (LMP) Loss reduction Emission reduction Shapley Value Method Decision Making Distribution Company (DISCO) Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Venkataramana Veeramsetty Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
description |
Abstract An iterative method based on Shapley Value Cooperative Game Theory is proposed for the calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a network. The LMP value is determined for each DG on the basis of its contribution to reduce loss and emission reduction, which is assessed using the Shapley Value approach. The proposed approach enables the Distribution Company (DISCO) decision-maker to operate the network optimally in terms of loss and emission. The proposed method is implemented in the Taiwan Power Company distribution network 7 warnings consisting of 84 buses and 11 feeders in the MATLAB environment. The results show that the proposed approach allows DISCO to operate the network on the basis of its priority between the reduction of active power loss and emission in the network |
format |
article |
author |
Venkataramana Veeramsetty |
author_facet |
Venkataramana Veeramsetty |
author_sort |
Venkataramana Veeramsetty |
title |
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
title_short |
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
title_full |
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
title_fullStr |
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
title_full_unstemmed |
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
title_sort |
shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction |
publisher |
SpringerOpen |
publishDate |
2021 |
url |
https://doaj.org/article/af7c4313f34c4c938d61ed4bfa8fe5b3 |
work_keys_str_mv |
AT venkataramanaveeramsetty shapleyvaluecooperativegametheorybasedlocationalmarginalpricecomputationforlossandemissionreduction |
_version_ |
1718429124207312896 |