Optimization Method for Unit Commitment in High-Level Wind Generation and Solar Power

Abstract

One of the serious challenges that the power sector is experiencing today is unit commitment. The problem becomes more severe when renewable energy is integrated with the convention power station. In the present scenario, renewable energy alone is inadequate to achieve the demand for power. Thus, operating renewable energy coherently with the conventional power station is a major complication. The demanded power must be fulfilled by the generation scheduling under the constraint of irregularities of renewable energy that can be economically availed. Application of GA can be an important tool for solving the problems of unit commitment. Like quadratic programming which is a conventional tool for mathematical optimization, the solution of GA can be reformed by applying its output as initial feasible. With the application of GA, the solution is improved under the constraint of integrating renewable energy with conventional resources.