A Multi-Objective Stochastic Distributed EnergyResources Planning in Transmission Network

Building new transmission lines has become more challenging in recent years due to ever-increasing environmental concerns andrising construction costs. One alternative would be to invest in distributed energy resources (DERs) which can reduce the need for new transmissionlines by reducing the load. This paper presents a new stochastic multi-objective planning model for DERs in transmission system as a replacementfor transmission expansion planning (TEP). The proposed model aims to minimize the investment costs of DERs and the congestion costs oftransmission systems, while maximizing the absorption of private investments. The uncertainties in the future electric loads and generators’ offerprices are captured by developing scenarios. The non-dominated sorting genetic algorithm (NSGAII) is utilized for solving the multi-objectiveoptimization problem. The fuzzy decision-making method is then applied to non-dominated solutions to obtain the final optimal expansion plan.The IEEE RTS (۲۴-bus) system is used to demonstrate the effectiveness of the proposed method.

کلیدواژه ها:

Distributed energy resources ، genetic algorithm ، multi-objective optimization ، planning ، private investment.