Network pricing for smart grids considering customers' diversified contribution to system

Xinhe Yang; Chenghong Gu; Furong Li

doi:10.1109/EEM.2017.7981977

Network pricing for smart grids considering customers' diversified contribution to system

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

2 Citations (SciVal)

110 Downloads (Pure)

Abstract

This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.

Original language	English
Title of host publication	14th International Conference on the European Energy Market (EEM), 2017
Publisher	IEEE
ISBN (Electronic)	9781509054992
DOIs	https://doi.org/10.1109/EEM.2017.7981977
Publication status	Published - 14 Jul 2017
Event	14th International Conference on the European Energy Market, EEM 2017 - Dresden, Germany Duration: 6 Jun 2017 → 9 Jun 2017

Conference

Conference	14th International Conference on the European Energy Market, EEM 2017
Abbreviated title	EEM 2017
Country/Territory	Germany
City	Dresden
Period	6/06/17 → 9/06/17

Keywords

Coincident factor
Contributions
Long-run-incremental-cost pricing
Network pricing
Shapley value

ASJC Scopus subject areas

Marketing
Energy Engineering and Power Technology
Fuel Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EEM.2017.7981977

Network Pricing for Smart Grids considering Customers’ Diversified Contribution to System Peak (2)
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Accepted author manuscript, 796 KB

Cite this

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title = "Network pricing for smart grids considering customers' diversified contribution to system",

abstract = "This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.",

keywords = "Coincident factor, Contributions, Long-run-incremental-cost pricing, Network pricing, Shapley value",

author = "Xinhe Yang and Chenghong Gu and Furong Li",

year = "2017",

month = jul,

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doi = "10.1109/EEM.2017.7981977",

language = "English",

booktitle = "14th International Conference on the European Energy Market (EEM), 2017",

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note = "14th International Conference on the European Energy Market, EEM 2017, EEM 2017 ; Conference date: 06-06-2017 Through 09-06-2017",

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T1 - Network pricing for smart grids considering customers' diversified contribution to system

AU - Yang, Xinhe

AU - Gu, Chenghong

AU - Li, Furong

PY - 2017/7/14

Y1 - 2017/7/14

N2 - This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.

AB - This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.

KW - Coincident factor

KW - Contributions

KW - Long-run-incremental-cost pricing

KW - Network pricing

KW - Shapley value

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UR - http://dx.doi.org/10.1109/EEM.2017.7981977

U2 - 10.1109/EEM.2017.7981977

DO - 10.1109/EEM.2017.7981977

M3 - Chapter in a published conference proceeding

AN - SCOPUS:85027180981

BT - 14th International Conference on the European Energy Market (EEM), 2017

PB - IEEE

T2 - 14th International Conference on the European Energy Market, EEM 2017

Y2 - 6 June 2017 through 9 June 2017

ER -

Network pricing for smart grids considering customers' diversified contribution to system

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

Cite this

Network pricing for smart grids considering customers' diversified contribution to system

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

Cite this