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
Highlights
Restructuring electrical power utilities, increasing load demand, technical innovation, concern for greenhouse gas emissions, improving voltage and loss reduction are some of the key reasons for increasing the penetration of Distributed Generator (DG) units into the distribution network [1,2,3]
The proposed Shapely Value Cooperative Game Theory (SVCGT) based iterative method for local marginal price (LMP) computation at DG buses is simulated on the Taiwan Power Company (TPC) distribution system consisting of 84 buses and 15 DG units
As Distribution Company (DISCO)’s decision maker increases priority for loss reduction by increasing ω1, incentives to each DG unit increase based on contribution to loss reduction leading to an increase in the reactive power price
Summary
Restructuring electrical power utilities, increasing load demand, technical innovation, concern for greenhouse gas emissions, improving voltage and loss reduction are some of the key reasons for increasing the penetration of Distributed Generator (DG) units into the distribution network [1,2,3]. In [10], an extended Kalman Filter based method is proposed to determine the nodal prices at DG buses in the distribution network based on the reduction in active power losses by minimizing the total merchandising surplus (MS). The incentives for each DG are calculated by distributing the financial savings of DISCO because of loss and emission reductions This improved method includes all the features of the comprehensive method proposed in [17]. SVCGT is used for the first time to compute LMP based on active power loss and emission reduction, and the proposed method can benefit the DISCO in the following ways. Before running the load flow for Case, the generation of each DG unit based on the active power price and base case loss reduction are calculated respectively using:. Type 1: Combined cycle gas turbine Type 2: Gas internalcombustion engine Type 3: Diesel internal combustion engine
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