Optimal Deployment And Dispatch Of Distributed Generation

Distributed generation (DG) has significant impacts on feeders'voltage profile, power flow and power loss, heavily depending on its size and location. This paper investigates the optimal deployment of distributed generation.Firstly, based on the static load model, this paper develops a function describing the relation between the maximum penetration level of DG and its location with the constraint conditions of voltage and line capacity. Then, according to the rules of minimizing power loss, a method for determining the optimal location or capacity of a DG is developed with the constraint conditions of maximum penetration level of DG. Further, the function is simplified under several typical load distribution models for practical usage.Secondly,an optimal deployment model considering the network of power system and difference between distributed generations is developed, which takes the operation and risk fees as its objective function. This model can be used to determine optimal deployment of multi-type & number distributed generations. An example illustrates that the practical method developed in this paper can be used to calculate the optimal placement of DG effectively and efficiently, and the optimal deployment model can determine the comprehensive optimal placement of multi-type & number distributed generations.Further,based on the optimal deployment of DGs, this paper investigates optimal dispatch of the local power grid system with DGs and energy storage.At the first time, considering the difference between beneficiaries, two strategies including social profit-maximizing dispatch strategy and Grid Company's profit-maximizing dispatch strategy are classified.Then, using genetic algorithm, two dynamic optimal dispatch models with the object of maximizing the profit of each beneficiaries are developed which determine the 24 hours-operation of DGs and energy storage.An example shows that the operation characteristics of different DGs are significantly different. Then, based on the costs and competitiveness of each DG, the dispatch results are analyzed and proved. The method and model developed in this paper may be used effectively for future researches.