Optimal load balancing and assessment of existing load balancing criteria

Boulmier, Anthony; Abdennadher, Nabil; Chopard, Bastien

doi:10.1016/j.jpdc.2022.07.002

Cited by 1 publication

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the comprehensive consideration of factors, such as the safety, economy, and reliability principle of the power system and the constraints of dispatching objectives, the reliability demand is analyzed first, and then the type, quantity, and working mode of the standby power supply are determined. After calculating and comparing the ratio of the output of different standby power units to the output of each power plant, the optimal strategy combination is selected to solve the problem [11][12]. The algorithm considers the impact of time utility on the power system.…”

Section: Short-term Load Dispatching Methodsmentioning

confidence: 99%

Ultra Short-term Load Optimal Dispatching Method for Micro Grid Considering Demand Side Response

Zhu

Yang²,

Li³

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

With the development of the economy, the electricity demand is also increasing. However, the traditional micropower supply bears the problems of excessive load growth and unstable voltage. Therefore, this paper takes power generation as the research object. First, the principle of output optimization based on schedulability, reserve capacity, and intermittent operation frequency of units is analyzed. Then, the relationship between the optimal solution and the minimum power consumption time is calculated by establishing a mathematical model to solve the algorithm, and the difference between the two results is compared. Finally, the power system is simulated on Matlab software, and the method and effect are verified by numerical simulation. The simulation results show that with the same microgrid power configuration, there is a 3.5% load transfer at time-sharing prices and a 6.4% load transfer at real-time prices through price-based demand response. The optimization objective of demand response, namely the cumulative sum of the difference between new energy power generation and load, is 15312 kW · h per year when the fixed price is implemented, 54134 kW · h is for the time of use price, and 451645 kW · h is for real-time price. The response effect of real-time price is optimal.

show abstract

Section: Short-term Load Dispatching Methodsmentioning

confidence: 99%