An individual welfare maximization algorithm for electricity markets

2002 ◽  
Vol 17 (3) ◽  
pp. 590-596 ◽  
Author(s):  
J.D. Weber ◽  
T.J. Overbye
2015 ◽  
Vol 16 (2) ◽  
pp. 195-206 ◽  
Author(s):  
S. Surender Reddy ◽  
A. R. Abhyankar ◽  
P. R. Bijwe

Abstract This paper presents a new multi-objective day-ahead market clearing (DAMC) mechanism with demand-side reserves/demand response (DR) offers, considering realistic voltage-dependent load modeling. The paper proposes objectives such as social welfare maximization (SWM) including demand-side reserves, and load served error (LSE) minimization. In this paper, energy and demand-side reserves are cleared simultaneously through co-optimization process. The paper clearly brings out the unsuitability of conventional SWM for DAMC in the presence of voltage-dependent loads, due to reduction of load served (LS). Under such circumstances multi-objective DAMC with DR offers is essential. Multi-objective Strength Pareto Evolutionary Algorithm 2+ (SPEA 2+) has been used to solve the optimization problem. The effectiveness of the proposed scheme is confirmed with results obtained from IEEE 30 bus system.


Author(s):  
Jean-François Toubeau ◽  
Chloé Ponsart ◽  
Christophe Stevens ◽  
Zacharie De Grève ◽  
François Vallée

Author(s):  
Jean-François Toubeau ◽  
Chloé Ponsart ◽  
Christophe Stevens ◽  
Zacharie De Grève ◽  
François Vallée

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