A multi-objective optimization evaluation framework for integration of distributed energy resources

2021 ◽  
Vol 41 ◽  
pp. 103005
Author(s):  
Bahman Ahmadi ◽  
Oguzhan Ceylan ◽  
Aydogan Ozdemir
Keyword(s):  
Evaluation Framework ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Multi Objective

scholarly journals Multi-Objective Optimization and Dispatch of Distributed Energy Resources for Renewable Power Utilization Considering Time-of-Use Tariff

2021 ◽  
Vol 9 ◽  
Author(s):  
Qinhao Xing ◽  
Meng Cheng ◽  
Shuran Liu ◽  
Qianliang Xiang ◽  
Hailian Xie ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Resources ◽  
Energy Utilization ◽  
Distributed Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Demand Forecast ◽  
Multi Objective ◽  
The Impact

The intermittency of wind and solar power generation brings risks to the safety and stability of the power system. In order to maximize the utilization of renewables, optimal control and dispatch methods of the Distributed Energy Resources including the generators, energy storage and flexible demand are necessary to be researched. This paper proposes an optimization and dispatch model of an aggregation of Distributed Energy Resources in order to facilitate the integration of renewables while considering the benefits for dispatchable resources under time-of-use tariff. The model achieves multi-objective optimization based on the constraints of day-ahead demand forecast, wind and solar generation forecast, electric vehicles charging routines, energy storage and DC power flow. The operating cost, the renewable energy utilization and the revenues of storages and electric vehicles are considered and optimized simultaneously through the min–max unification method to achieve the multi-objective optimization. The proposed model was then applied to a modified IEEE-30 bus case, demonstrating that the model is able to reconcile all participants in the system. Sensitivity analysis was undertaken to study the impact of initial states of the storages on the revenues to the resource owners.

scholarly journals An Operational Approach to Multi-Objective Optimization for Volt-VAr Control

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5871
Author(s):  
David Raz ◽  
Yuval Beck
Keyword(s):  
Optimization Problem ◽  
Target Function ◽  
Optimization Techniques ◽  
Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Operational Approach ◽  
Multi Objective ◽  
Operational Interpretation ◽  
Photo Voltaic

Recent research has enabled the integration of traditional Volt-VAr Control (VVC) resources, such as capacitor banks and transformer tap changers, with Distributed Energy Resources (DERs), such as photo-voltaic sources and energy storage, in order to achieve various Volt-VAr Optimization (VVO) targets, such as Conservation Voltage Reduction (CVR), minimizing VAr flow at the transformer, minimizing grid losses, minimizing asset operations and more. When more than one target function can be optimized, the question of multi-objective optimization is raised. In this work, a general formulation of the multi-objective Volt-VAr Optimization problem is proposed. The applicability of various multi-optimization techniques is considered and the operational interpretation of these solutions is discussed. The methods are demonstrated using a simulation on a test feeder.

scholarly journals An Operational Approach to Multi-Objective Optimization of Volt-VAr Control

2020 ◽  
Author(s):  
David Raz ◽  
Yuval Beck
Keyword(s):  
Optimization Problem ◽  
Target Function ◽  
Optimization Techniques ◽  
Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Operational Approach ◽  
Multi Objective ◽  
Operational Interpretation ◽  
Photo Voltaic

Recent research has enabled the integration of traditional Volt-VAr Control (VVC) resources, such as capacitors banks and transformer tap changers, with Distributed Energy Resources (DERs), such as photo-voltaic sources and energy storage, in order to achieve various Volt-VAr Optimization (VVO) targets, such as Conservation Voltage Reduction (CVR), minimizing VAr flow at the transformer, minimizing grid losses, minimizing asset operations and more. When more than one target function can be optimized, the question of multi-objective optimization is raised. In this work, we propose a general formulation of the multi-objective Volt-VAr optimization problem. We consider the applicability of various multi-optimization techniques and discuss the operational interpretation of these solutions. We demonstrate the methods using simulation on a test feeder.

scholarly journals Evaluation Framework and Tools for Distributed Energy Resources

2003 ◽  
Author(s):  
Etan Z. Gumerman ◽  
Ranjit R. Bharvirkar ◽  
Kristina Hamachi LaCommare ◽  
Chris Marnay
Keyword(s):  
Evaluation Framework ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy

Multi-objective planning framework for stochastic and controllable distributed energy resources

2009 ◽  
Vol 3 (2) ◽  
pp. 227 ◽  
Author(s):  
A. Alarcon-Rodriguez ◽  
E. Haesen ◽  
G. Ault ◽  
J. Driesen ◽  
R. Belmans
Keyword(s):  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Multi Objective ◽  
Planning Framework
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