Electricity Market Clearing Price Forecast Based on Adaptive Kalman Filter

Author(s):  
Liang Ding ◽  
Quanbo Ge
Author(s):  
Prasanta Kumar Pany ◽  
Sakti Prasad Ghoshal

In an open-access environment, transmission constraints can result in different energy prices throughout the network. These prices are dependent on a number of factors such as the system load level, generating unit bid, demand unit bid, network topology and security limits imposed on the transmission network due to thermal, voltage and stability considerations. Computing these energy prices at all buses in large networks under given system operating conditions can be time consuming. This paper describes some simple methodology based on the computer programs to calculate saving , worth of transmission transaction, market clearing price, social welfare, transaction cost, locational marginal pricing, transmission capacity cost at selected zones for a given period. These information for energy prices can be used not only to improve the efficient usage of power grid but also to design a reasonable pricing structure of power systems or to provide economic signals for generation or transmission investment.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3314 ◽  
Author(s):  
Zixu Liu ◽  
Xiaojun Zeng ◽  
Fanlin Meng

One of the main challenges in the emerging smart grid is to jointly consider the demand and supply, which is also reflected in the wholesale market (supply side) and the retail market (demand side). When integrating the demand and supply side into one framework, the mechanism for determining the market clearing price has been changed. This is due to the demand variations in the demand side in response to the market clearing price and the change of generation costs in the supply side from the demand variation. In order to find the best balance between the supply and demand under the demand response management scheme, this paper proposes a new integrated supply and demand coordination mechanism for the electricity market and smart pricing methods for generator and retailers. Another important contribution of this paper is to develop an efficient algorithm to find the match equilibrium between the demand and supply sides in the new proposed mechanism. Experimental results demonstrate that the new mechanism can effectively handle unpredictable demand under dynamic retail pricing and support the ISO to dispatch the generation economically. It can also help in achieving the goals of dynamic pricing such as maximizing the profits for retailers.


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