This paper addresses the problem of the self-scheduling of a thermal electricity producer in day-ahead energy and reserves markets. A 0/1 mixed integer linear formulation of the producer self-scheduling problem is provided, which allows a realistic and accurate modeling of the unit's operating phases. A novel unit start-up modeling is presented, in which three different start-up types are modeled, hot, warm, and cold, each with distinct start-up cost, synchronization time, soak time, and predefined start-up power output trajectories, all dependent on the unit's prior reservation time. Test results address the effect of the energy and reserves market clearing prices on the producer units' day-ahead commitment status and profits.
Abstract-This paper presents a new method for the decentralized solution of the dc optimal power flow (OPF) problem in large interconnected power systems. The method decomposes the overall OPF problem of a multiarea system into independent OPF subproblems, one for each area. The solutions of the OPF subproblems of the different areas are coordinated through a pricing mechanism until they converge to the global OPF solution. The prices used for the coordination of the subproblem solutions are the prices of electricity exchanges between adjacent areas. Test results from the application of the method to the three-area RTS-96 and the Balkan power system are reported.
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