scholarly journals Review of Methods to Calculate Congestion Cost Allocation in Deregulated Electricity Market

2016 ◽  
Vol 04 (03) ◽  
pp. 16-26 ◽  
Author(s):  
Jiawei Zhao ◽  
Jianfeng Lu ◽  
Kwok Lun Lo
Keyword(s):  
Electricity Market ◽  
Cost Allocation ◽  
Congestion Cost ◽  
Deregulated Electricity Market

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>

Stochastic control for risk under deregulated electricity market — a case study using a new formulation

2005 ◽  
Vol 32 (4) ◽  
pp. 719-725 ◽  
Author(s):  
Joyce Li Zhang ◽  
K Ponnambalam
Keyword(s):  
Electricity Market ◽  
Explicit Method ◽  
State Variables ◽  
Risk Minimization ◽  
Solution Approach ◽  
Second Moments ◽  
Deregulated Electricity Market ◽  
New Formulation ◽  
Dual Dynamic Programming

This paper describes the implementation of a new solution approach — Fletcher-Ponnambalam model (FP) — for risk management in hydropower system under deregulated electricity market. The FP model is an explicit method developed for the first and second moments of the storage state distributions in terms of moments of the inflow distributions. This method provides statistical information on the nature of random behaviour of the system state variables without any discretization and hence suitable for multi-reservoir problems. Also avoiding a scenario-based optimization makes it computationally inexpensive, as there is little growth to the size of the original problem. In this paper, the price uncertainty was introduced into the FP model in addition to the inflow uncertainty. Lake Nipigon reservoir system is chosen as the case study and FP results are compared with the stochastic dual dynamic programming (SDDP). Our studies indicate that the method could achieve optimum operations, considering risk minimization as one of the objectives in optimization.Key words: reservoir operations, explicit method, uncertainty, stochastic programming, risk.

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