scholarly journals A New Approach for Determining the Cost Allocation by Considering Transmission Line Mutual Inductance for Multilateral Contracts

2018 ◽  
Vol 9 (3) ◽  
pp. 1304
Author(s):  
Suma Deepthi ◽  
V. Sumadeepthi ◽  
K. Rama
Keyword(s):  
Transmission Line ◽  
Electricity Market ◽  
Cost Allocation ◽  
Transmission Loss ◽  
Mutual Inductance ◽  
New Approach ◽  
Allocation Process ◽  
Deregulated Electricity Market ◽  
System Operator ◽  
The Cost

<p>Addressing loss due to transmission and its cost allocation in deregulated electricity market is an  essential issue. Independent System Operator (ISO) provides the active power loss from the generators and the associated cost is allocated to the concerned parties in a fair way. The generators and loads participate in the loss/cost allocation process. The highlight of the paper is that the effect of mutual inductance (MI) that exists on transmission line in transmission loss/cost allocation process for multlateral contracts is illustrated. To demonstrate the effect of mutual inductance, the results of  existing loss allocation methods like penalized quoted cost (PQC) based approach are discussed. Effect of mutual inductance is presented using an IEEE 30 bus system. The simulation results are carried out using MATLAB R2014a. The result shows that mutual inductance has a significant impact on transmission loss and hence cannot be ignored.</p>

scholarly journals Comparison of Transmission Loss Allocation by Proportional Sharing Principle Method and Aumann Shapley Method

2018 ◽  
Vol 7 (2.32) ◽  
pp. 117
Author(s):  
Mrs. K. Sarada ◽  
P Anush Kumar ◽  
Sd Sadiq Rahiman ◽  
Ch Mohan Sai Krishna
Keyword(s):  
Electricity Market ◽  
Cost Allocation ◽  
Transmission Loss ◽  
Power Sector ◽  
Loss Allocation ◽  
The World ◽  
Current Scenario ◽  
Transmission Loss Allocation ◽  
The Cost ◽  
Linear Nature

In the current scenario of the electricity market in the world the cost allocation became the thematic part and the essential usage to individual distributor and to the consumer. Allocation is nothing but a share of anything that been shared in the equal amount to the assigned terms of the quantity. Here in the power sector, losses and the respective costs have been shared among the generators and the loads. To achieve the linear nature and invariant characteristics, allocation of losses is done. To such allocation of losses there are many methods, popular methods of them named, Proportional Sharing Principle Method and Aumann-Shapley Method are compared in this paper based on loss and cost allocation, and results are verified through Mat lab platform.  

scholarly journals An investigation on apportion of mathematical loss in transmission loss/cost allocation approach

2019 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Shafeeque Ahmed Kalavai ◽  
Prabhakar Karthikeyan Shanmugam
Keyword(s):  
Transmission Lines ◽  
Electricity Market ◽  
Power Flow ◽  
Cost Allocation ◽  
Transmission Loss ◽  
Complete Analysis ◽  
Cost Allocations ◽  
The Cost ◽  
The Impact ◽  
Selection Of

<p>Cost allocation of highly non-linear transmission loss is complex and essential in competitive electricity market. In most of the existing transmission loss/cost allocation approaches, real power loss depends on selection of slack bus and hence the cost of transmission losses which are allocated to the generators and the loads also varies. In this paper, a complete analysis on the impact of slack bus selection on transmission loss allocation with and without mathematical loss is made. One of the existing approaches, proportional generation and proportional load (PGPL) method is taken to illustrate the impact. Mathematical loss is the loss without generation and load in the network and can be obtained from power flow solution by taking generation and load as zero. The cost incurred for this mathematical loss is allocated to the transmission lines while the cost of transmission loss due to bilateral contracts is allocated among the sources and the consumers. These loss/cost allocations with and without considering mathematical loss is shown using an IEEE 30 bus, 57 bus, 75 bus and 118 bus systems. The simulation results are obtained using MATLAB R2014a.<em></em></p>

Comparison of SVC and TCSC Installation in Transmission Line with Loss Minimization and Cost of Installation via Particle Swarm Optimization

2015 ◽  
Vol 785 ◽  
pp. 495-499
Author(s):  
Siti Amely Jumaat ◽  
Ismail Musirin
Keyword(s):  
Particle Swarm Optimization ◽  
Transmission Line ◽  
Objective Function ◽  
Transmission Loss ◽  
Particle Swarm ◽  
Static Var Compensator ◽  
Loss Minimization ◽  
Swarm Optimization ◽  
The Cost ◽  
Thyristor Controlled Series Compensator

The paper presents a comparison of performance Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) with objective function to minimize the transmission loss, improve the voltage and monitoring the cost of installation. Simulation performed on standard IEEE 30-Bus RTS and indicated that EPSO a feasible to achieve the objective function.

scholarly journals A New Technique for Transmission Loss Allocation in a Deregulated Electricity Market

2019 ◽  
Vol 8 (3) ◽  
pp. 6724-6727
Keyword(s):  
Electricity Market ◽  
Transmission Loss ◽  
The Other ◽  
New Technique ◽  
Fair Allocation ◽  
Loss Allocation ◽  
Allocation Method ◽  
Deregulated Electricity Market ◽  
Transmission Loss Allocation ◽  
A New Technique

In a present day a necessity for fair allocation of transmission loss in a deregulated electricity market. This paper presents modifiedZbus loss allocation method to calculate the allocation of transmission loss loss . The procedure depends on straightforward circuit laws and doesn't include any suppositions. results obtained for IEEE 14 Bus system are analysed with the other present methods

Revenue Allocation

2019 ◽  
pp. 31-53
Author(s):  
Ronald Ma
Keyword(s):  
Cost Allocation ◽  
The Other ◽  
Hospital Service ◽  
Allocation Process ◽  
Revenue Allocation ◽  
Technical Details ◽  
Revenue Streams ◽  
The Cost ◽  
Funding Environment

Until now, the revenue allocation of a hospital service has not received sufficient attention. Previous research done on this subject overlooked the details of revenue streams in the activity-based funding environment and has not introduced any technical dimension faced by new clinical costers. On the other hand, clinical costers (who manage clinical costing database) have a strong aversion to talking about revenue, because of the exclusion of revenue data collection and submission for most funding authorities. Clinical costing also tries to prevent revenue information from influencing on cost allocation methods. That makes research on this subject extremely difficult. However, the chapter uses a language called “revenue is an integral part of clinical costing” as an alternative way to explore this subject, including fine technical details. The benefits of investing in the revenue allocation process seem to exceed its cost, since the cost, revenue, and clinical outcomes could be analyzed in toto for delivering information on safety and quality of care.

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