Multi-Objective Optimization and Dispatch of Distributed Energy Resources for Renewable Power Utilization Considering Time-of-Use Tariff
| Autor: | Meng Cheng, Qianliang Xiang, Tailai Chen, Hailian Xie, Shuran Liu, Qinhao Xing |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
multi-objectives optimal dispatch
Economics and Econometrics Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology Multi-objective optimization Energy storage General Works Electric power system 0202 electrical engineering electronic engineering information engineering 0601 history and archaeology renewable power utilization Dispatchable generation Solar power Operating cost 060102 archaeology business.industry flexible demand Renewable Energy Sustainability and the Environment 06 humanities and the arts Renewable energy Reliability engineering Fuel Technology min–max unification Distributed generation business distributed energy resouces time-of-use tariff |
| Zdroj: | Frontiers in Energy Research, Vol 9 (2021) |
| ISSN: | 2296-598X |
| DOI: | 10.3389/fenrg.2021.647199 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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