Solving Environmental Power Unit Commitment with POZ Constraint Using Memetic Evolutionary Algorithm

Abstract: A multi-objective ecological power unit commitment problem is developed to consider the objectives of minimizing the operation cost and minimizing the emissions from the generation units. In a vertically integrated power system, UC determines when to start up or shut down units and how to dispatch online generators over a given scheduling horizon in order to reduce the operating costs, satisfying the prevailing constraints such as load balance, system reserve requirement, ramp rate limits, and minimum up/down time limits and also minimizing the emission from the generating units. Prohibited operating zones in units are mostly due to mechanical or unit’s physical issues and this should be included as constraint to unit commitment problem so that considerable amount of maintenance cost can be saved. In this paper to minimize the production cost, and minimize emission from the generating unit using memetic evolutionary algorithm.

Keywords: Unit commitment, Prohibited operating zone, Memetic evolutionary algorithm.