An integrated model for generation maintenance coordination in a restructured power system involving gas network constraints and uncertainties

• Published in: International journal of electrical power & energy systems 2013-03, Vol.46, p.425-440
• Main Authors: Latify, Mohammad Amin, Seifi, Hossein, Rajabi Mashhadi, Habib
• Format: Article
• Language: English
• Subjects: Applied sciences; Electric power generation; Electrical engineering. Electrical power engineering; Electrical power engineering; Electricity market; Electricity pricing; Exact sciences and technology; Generation maintenance coordination; Maintenance; Mathematical models; Memory rate; Mid-term natural gas network planning; Miscellaneous; Natural gas; Networks; Operation. Load control. Reliability; Operators; Power networks and lines; Proposals; Stochastic programming
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2012.10.017

► Observing electricity price sensitivity to maintenance programs and vice versa. ► Creating new communication line between operators of the two critical infrastructures to gain a better mid-term planning. ► Inserting the primary fuel network uncertainties and constraints into the decision making process of the GenCos and the ISO. ► Avoiding the necessity of availability of information of each GenCo for the others. ► Observing the earlier experiences in decision makings by considering the memory rate. A maintenance coordination algorithm is proposed in this paper in which, the natural gas network constraints and uncertainties are taken into account. In this way, new communication lines between natural Gas Network Operator (GNO), Independent electricity Market Operator (IMO) and Independent electric System Operator (ISO) are created to coordinate the mid-term planning of the electric and the gas networks. The coordination process is an iterative process in which, initially, the GNO generates a complete set of non-electrical gas load scenarios. Then, the scenario-based maximum available gases for generating units are calculated and sent to the IMO and the ISO. The IMO declares the interval electricity prices in scenarios for the period of concern. The Generation Companies (GenCos) would then provide the ISO and the IMO with their maintenance proposals; considering their own objectives, constraints, scenario-based prices, and scenario-based maximum available gases. The ISO would evaluate the impact of maintenance proposals and scenario-based maximum available gases on reliability indices and assign some penalties/rewards to the GenCos, in proportion to their contribution in reliability index violation from a desirable level. On the other hand, the GNO would calculate the new scenario-based maximum available gas for the generating units, considering new maintenance proposals. Then, the IMO would provide new electricity prices, based on new maintenance proposals. These signals would be used by the GenCos to review and modify their maintenance proposals. The procedure is repeated until an equilibrium point is reached. For convergence assurance, a memory rate is introduced by which the GenCos earlier experiences in providing the ISO with maintenance proposals are, somehow, taken into account. The capabilities of the proposed algorithm are assessed and evaluated on IEEE-RTS.