This thesis presents a model that simulates and solves power system dispatch problems utilizingstochastic linear programming. The model features the ability to handle single period, multiplebus, linear DC approximated systems. It determines capacity, energy, and reserve quantitieswhile accounting for N-1 contingency scenarios (single loss of either generator or line) on thenetwork. Market systems applying to this model are also proposed, covering multiple real-time,day-ahead, and hybrid versions of consumer costing, transmission operator payment, and generator remuneration schemes. The model and its market schemes are applied to two test systemsto verify its viability: a small 6-bus system and a larger 66-bus system representing the Ontarioelectricity network.
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Alternative Electricity Market Systems for Energy and Reserves using Stochastic Optimization