Bi-Objective Dispatch of Multi-Energy Virtual Power Plant: Deep-Learning-Based Prediction and Particle Swarm Optimization

Bi-Objective Dispatch of Multi-Energy Virtual Power Plant: Deep-Learning-Based Prediction and Particle Swarm Optimization

This paper addresses the coordinative operation problem of multi-energy virtual power plant (ME-VPP) in the context of energy internet. A bi-objective dispatch model is established to optimize the performance of ME-VPP in terms of economic cost (EC) and power quality (PQ). Various realistic factors...

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Bibliographic Details
Main Authors: Jiahui Zhang, Zhiyu Xu, Weisheng Xu, Feiyu Zhu, Xiaoyu Lyu, Min Fu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
multi-energy virtual power plant
economic cost
power quality
bi-objective dispatch
long short-term memory
multi-objective particle swarm optimization
Online Access:http://www.mdpi.com/2076-3417/9/2/292

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http://www.mdpi.com/2076-3417/9/2/292

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