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...

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Autor principal: Venkataramana Veeramsetty
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Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/af7c4313f34c4c938d61ed4bfa8fe5b3
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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
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