Generation maintenance scheduling based on multiple objectives and their relationship analysis

Abstract

In a market environment of power systems, each producer pursues its maximal profit while the independent system operator is in charge of the system reliability and the minimization of the total generation cost when generating the generation maintenance scheduling (GMS). Thus, the GMS is inherently a multi-objective optimization problem as its objectives usually conflict with each other. This paper proposes a multi-objective GMS model in a market environment which includes three types of objectives, i.e., each producer's profit, the system reliability, and the total generation cost. The GMS model has been solved by the group search optimizer with multiple producers (GSOMP) on two test systems. The simulation results show that the model is well solved by the GSOMP with a set of evenly distributed Pareto-optimal solutions obtained. The simulation results also illustrate that one producer's profit conflicts with another one's, that the total generation cost does not conflict with the profit of the producer possessing the cheapest units while the total generation cost conflicts with the other producers' profits, and that the reliability objective conflicts with the other objectives.

Maintenance scheduling in the electricity industry: A literature review

“…Figure 3: Coordination procedure in a deregulated power system Since the opening up to competition, the GMS problem in deregulated power systems has been widely studied (Badri and Niazi, 2012;Barot and Bhattacharya, 2008;Billinton and Abdulwhab, 2003;Bisanovic et al, 2011;Chattopadhyay, 2004b,a;Conejo et al, 2005;Elyas et al, 2013;Eshraghnia et al, 2006;Feng et al, 2009;Fu et al, 2007;Geetha and Shanti Swarup, 2009;Han et al, 2011;Kim et al, 2005;Shahidehpour, 1999a,b, 2000b,a;Min et al, 2013;Wu et al, 2008;Zhan et al, 2014). The problem has globally the same constraints as for the vertically integrated case.…”

“…These studies generally deal with a security-constrained GMS problem operating under a pool-based model or a regulated monopoly. However, profit maximization is a much more common objective (Barot and Bhattacharya, 2008;Bisanovic et al, 2011;Chattopadhyay, 2004b,a;Conejo et al, 2005;Elyas et al, 2013;Eshraghnia et al, 2006;Feng et al, 2009;Geetha and Shanti Swarup, 2009;Kim et al, 2005;Min et al, 2013;Wu et al, 2008;Zhan et al, 2014).…”

“…The interactions between these two actors have received intensive interest (Barot and Bhattacharya, 2008;Conejo et al, 2005;Elyas et al, 2013;Eshraghnia et al, 2006;Geetha and Shanti Swarup, 2009;Han et al, 2011;Min et al, 2013;Zhan et al, 2014). Reliability-based objectives are considered when the problem is solved from the point of view of the ISO: maximizing the reserve throughout the horizon (Eshraghnia et al, 2006), maximizing the sum of the ratio of the net reserves to the gross reserves by period (Conejo et al, 2005), minimizing the standard deviation of this last ratio (Zhan et al, 2014), or minimizing a risk penalty factor related to an adequate level of reliability (Geetha and Shanti Swarup, 2009). Cost minimization is considered in (Barot and Bhattacharya, 2008).…”

“…They suggested a maintenance bidding approach to model the coordination mechanism. Finally, Zhan et al (2014) analyzed the relationship between the ISO and the GENCOs in GMS using a multiobjective approach.…”

“…The IEEE-RTS includes data on the network, the generating units, the demand, and the costs. This benchmark has been used in several articles (Badri and Niazi, 2012;Billinton and Abdulwhab, 2003;Elyas et al, 2013;Eshraghnia et al, 2006;Fattahi et al, 2014;Feng et al, 2009;Geetha and Shanti Swarup, 2009;Marwali and Shahidehpour, 1998,b, 2000aMollahassani-pour et al, 2014;Schlünz and van Vuuren, 5 Suresh and Kumarappan, 2013;Zhan et al, 2014). Another commonly used set of instances contributed by the IEEE 9 represent portions of the North American electricity system; this set served as a benchmark in Abirami et al (2014); El-Sharkh et al (2003); El-Sharkh (2014); Fu et al (2007); Marwali and Shahidehpour (2000b).…”