Data-Driven Planning for Renewable Distributed Generation Integration

  title={Data-Driven Planning for Renewable Distributed Generation Integration},
  author={Abolhassan Mohammadi Fathabad and Jianqiang Cheng and K. Pan and F. Qiu},
  journal={IEEE Transactions on Power Systems},
As significant amounts of renewable distributed generation (RDG) are installed in the power grid, it becomes increasingly important to plan RDG integration to maximize the utilization of renewable energy and mitigate unintended consequences, such as phase unbalance. One of the biggest challenges in RDG integration planning is the lack of sufficient information to characterize uncertainty (e.g., load and renewable output). In this paper, we propose a two-stage data-driven distributionally robust… Expand

Figures and Tables from this paper

Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
The results demonstrate that the proposed prediction method based on stacking ensemble hyperparameter optimization provides high prediction accuracy for the power plant under multiple complex environmental variables, and offers more accurate predictions of the power generation from a combined cycle plant. Expand
A Generalized Model For Unified Ac-Dc Load Flow Analysis
The tendency to gain the benefits of both ac and dc grids pushed the power industries to introduce the ac-dc hybrid system as the future of distribution systems. Although these grids bringExpand


Generation expansion planning optimisation with renewable energy integration: A review
Generation expansion planning consists of finding the optimal long-term plan for the construction of new generation capacity subject to various economic and technical constraints. It usually involvesExpand
Distributionally Robust Co-Optimization of Energy and Reserve Dispatch
This paper proposes a two-stage distributionally robust optimization model for the joint energy and reserve dispatch (D-RERD for short) of bulk power systems with significant renewable energyExpand
A Distributionally Robust Optimization Model for Real-Time Power Dispatch in Distribution Networks
A distributionally robust real-time power dispatch model, which characterizes the uncertainty of DG output with the information of first-order and second-order moments, and outperforms the conventional RO model by exploiting probability information to achieve statistically optimal dispatch. Expand
Robust Optimization Based Optimal DG Placement in Microgrids
Compared with conventional MG planning approaches, the proposed model is more practical in that it fully considers the system uncertainties and only requires a deterministic uncertainty set, rather than a probability distribution of uncertain data which is difficult to obtain. Expand
Optimal Wind Farm Allocation in Multi-Area Power Systems Using Distributionally Robust Optimization Approach
This paper presents a distributionally robust planning model to determine the optimal allocation of wind farms in a multi-area power system, so that the expected energy not served (EENS) is minimizedExpand
Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review
Abstract Distributed generators (DGs) are a reliable solution to supply economic and reliable electricity to customers. It is the last stage in delivery of electric power which can be defined as anExpand
A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation
This paper proposes a distributionally robust optimization model for solving unit commitment (UC) problems considering volatile wind power generation. The uncertainty of wind power is captured by anExpand
Stochastic assessment of distributed generation hosting capacity and energy efficiency in active distribution networks
A multi-period and multiobjective optimisation algorithm, based on the linearised optimal power flow, is formulated, which seeks to maximise the installed capacity of DG while minimising the energy losses and consumption of voltage-dependent loads. Expand
Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques
The rapid development of distributed generation in different forms and capacities is transforming the conventional planning of distribution networks. Despite the benefits offered by renewableExpand
Two-Stage Robust Unit Commitment for Co-Optimized Electricity Markets: An Adaptive Data-Driven Approach for Scenario-Based Uncertainty Sets
This paper uses an alternative scenario-based framework whereby uncertain renewable generation is characterized by a polyhedral uncertainty set relying on the direct specification of its vertexes, and presents a simple, yet efficient, adaptive data-driven procedure to dynamically update the uncertainty set vertexes with observed daily renewable-output profiles. Expand