JOURNAL ARTICLE

A model-free optimal operation strategy of diversified demands-park integrated energy system considering energy cascade utilization

Peng LiLei JiangJiahao WangLiangzhong YaoYuwei LiZixuan Wang

Year: 2023 Journal:   International Journal of Electrical Power & Energy Systems Vol: 155 Pages: 109518-109518   Publisher: Elsevier BV

Abstract

In order to improve the energy efficiency of park integrated energy system, this work proposes a model-free optimal operation strategy of diversified demands-park integrated energy system considering energy cascade utilization. First, by considering diversified demands of various users for energy, an energy cascade utilization mode and its corresponding multi-dimensional energy supply and demand balance equation is developed. Moreover, in view of the above structure, a model-free DD-PIES optimal operation strategy is further proposed. Among them, the model-free approach is realized on the basis of the interaction between agent and environment, combined with sufficient exploration and consequences learning of its behavior through experience. Compared to the previous works, this proposed strategy has good self-learning ability for multiple uncertainties of renewable energy and energy demand, and cuts down on inefficient exploration during the training process, while guarantee the security during the execution of actions by the agent. Finally, the rationality and validity of the proposed strategy in reducing operating cost and improving energy efficiency of the system are verified by a case study.

Keywords:
Cascade Renewable energy Energy (signal processing) Computer science Efficient energy use Mathematical optimization Engineering

Metrics

4
Cited By
0.66
FWCI (Field Weighted Citation Impact)
37
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Integrated Energy Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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