Stochastic LMP (Locational marginal price) calculation method in distribution systems to minimize loss and emission based on Shapley value and two-point estimate method
LMP (Locational marginal price) calculation is a serious impediment in distribution operation when private DG (distributed generation) units are connected to the network. A novel policy is developed in this study to guide distribution company (DISCO) to exert its control over the private units when...
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| Published in | Energy (Oxford) Vol. 107; pp. 396 - 408 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.07.2016
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| Subjects | |
| Online Access | Get full text |
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| Abstract | LMP (Locational marginal price) calculation is a serious impediment in distribution operation when private DG (distributed generation) units are connected to the network. A novel policy is developed in this study to guide distribution company (DISCO) to exert its control over the private units when power loss and green-house gases emissions are minimized. LMP at each DG bus is calculated according to the contribution of the DG to the reduced amount of loss and emission. An iterative algorithm which is based on the Shapley value method is proposed to allocate loss and emission reduction. The proposed algorithm will provide a robust state estimation tool for DISCOs in the next step of operation. The state estimation tool provides the decision maker with the ability to exert its control over private DG units when loss and emission are minimized. Also, a stochastic approach based on the PEM (point estimate method) is employed to capture uncertainty in the market price and load demand. The proposed methodology is applied to a realistic distribution network, and efficiency and accuracy of the method are verified.
•Reduction of the loss and emission at the same time.•Fair allocation of loss and emission reduction.•Estimation of the system state using an iterative algorithm.•Ability of DISCOs to control DG units via the proposed policy.•Modeling the uncertainties to calculate the stochastic LMP. |
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| AbstractList | LMP (Locational marginal price) calculation is a serious impediment in distribution operation when private DG (distributed generation) units are connected to the network. A novel policy is developed in this study to guide distribution company (DISCO) to exert its control over the private units when power loss and green-house gases emissions are minimized. LMP at each DG bus is calculated according to the contribution of the DG to the reduced amount of loss and emission. An iterative algorithm which is based on the Shapley value method is proposed to allocate loss and emission reduction. The proposed algorithm will provide a robust state estimation tool for DISCOs in the next step of operation. The state estimation tool provides the decision maker with the ability to exert its control over private DG units when loss and emission are minimized. Also, a stochastic approach based on the PEM (point estimate method) is employed to capture uncertainty in the market price and load demand. The proposed methodology is applied to a realistic distribution network, and efficiency and accuracy of the method are verified. LMP (Locational marginal price) calculation is a serious impediment in distribution operation when private DG (distributed generation) units are connected to the network. A novel policy is developed in this study to guide distribution company (DISCO) to exert its control over the private units when power loss and green-house gases emissions are minimized. LMP at each DG bus is calculated according to the contribution of the DG to the reduced amount of loss and emission. An iterative algorithm which is based on the Shapley value method is proposed to allocate loss and emission reduction. The proposed algorithm will provide a robust state estimation tool for DISCOs in the next step of operation. The state estimation tool provides the decision maker with the ability to exert its control over private DG units when loss and emission are minimized. Also, a stochastic approach based on the PEM (point estimate method) is employed to capture uncertainty in the market price and load demand. The proposed methodology is applied to a realistic distribution network, and efficiency and accuracy of the method are verified. •Reduction of the loss and emission at the same time.•Fair allocation of loss and emission reduction.•Estimation of the system state using an iterative algorithm.•Ability of DISCOs to control DG units via the proposed policy.•Modeling the uncertainties to calculate the stochastic LMP. |
| Author | Hosseinian, S.H. Askarian-Abyaneh, Hossein Azad-Farsani, Ehsan Abedi, Mehrdad Agah, S.M.M. |
| Author_xml | – sequence: 1 givenname: Ehsan surname: Azad-Farsani fullname: Azad-Farsani, Ehsan email: e.azad@aut.ac.ir, e.azad37@yahoo.com organization: Department of Electrical Engineering, Golpayegan University of Technology, Golpayegan, Iran – sequence: 2 givenname: S.M.M. surname: Agah fullname: Agah, S.M.M. organization: School of Electrical, Electronic, and Communications Engineering, University College Dublin, Dublin, D04V1W8, Ireland – sequence: 3 givenname: Hossein surname: Askarian-Abyaneh fullname: Askarian-Abyaneh, Hossein organization: Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran – sequence: 4 givenname: Mehrdad surname: Abedi fullname: Abedi, Mehrdad organization: Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran – sequence: 5 givenname: S.H. surname: Hosseinian fullname: Hosseinian, S.H. organization: Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran |
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| Cites_doi | 10.1109/TPWRD.2013.2277576 10.1016/S0951-8320(97)00071-9 10.1016/j.epsr.2009.08.020 10.1049/iet-gtd.2009.0148 10.1109/TSG.2012.2214071 10.1073/pnas.72.10.3812 10.1109/TPWRS.2007.901284 10.1016/j.ijepes.2009.11.021 10.1016/j.energy.2013.03.058 10.1016/j.energy.2011.03.079 10.1109/TPWRS.2009.2038783 10.1016/j.energy.2011.11.023 10.1109/TPWRS.2014.2359977 10.1109/TPWRS.2015.2398821 10.1049/ip-gtd:20040385 10.1016/j.energy.2012.09.031 10.1109/TPWRS.2006.873006 10.1016/j.energy.2015.01.090 10.1109/TPWRS.2011.2175254 10.1049/ip-gtd:20020005 10.1049/ip-gtd:19941089 10.1109/TPWRS.2008.2007001 10.1109/61.85860 10.1109/TPWRS.2007.907515 10.1080/00207540110095709 10.1016/j.energy.2014.10.024 10.1109/TPWRD.2012.2230192 10.1016/j.apenergy.2012.04.017 |
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| Keywords | Locational marginal price Shapley value Loss/emission reduction allocation Electricity market |
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| SubjectTerms | Buses (vehicles) Electricity market Emissions control Estimates Locational marginal price Loss/emission reduction allocation Markets Mathematical analysis Networks Shapley value State estimation Stochasticity |
| Title | Stochastic LMP (Locational marginal price) calculation method in distribution systems to minimize loss and emission based on Shapley value and two-point estimate method |
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