The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market

This paper presents an optimization method for scheduling a multi-energy VPP (Virtual Power Plant) supply–demand balance in the power market environment of Jiangxi Province. The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and faci...

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Vydané v:	Energies (Basel) Ročník 17; číslo 18; s. 4691
Hlavní autori:	Xinfa, Tang, Jingjing, Wang, Yonghua, Wang, Youwei, Wan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2024
Predmet:	Algorithms Alternative energy sources balance between supply and demand Carbon Cost reduction Demand side management Efficiency Electric power systems Electric power-plants Electric vehicles Electricity Electricity distribution Energy consumption energy efficiency of renewable energy Energy management Energy management systems Energy resources Energy storage Energy trading Genetic algorithms Load dispatching Mathematical optimization multi-energy VPP multi-objective optimization algorithm Optimization algorithms Power plants Power supply Price ceilings Renewable resources Scheduling scheduling planning optimization Supply & demand Wind power China Jiangxi China
ISSN:	1996-1073, 1996-1073
On-line prístup:	Získať plný text
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