Grid planning Considering the complementarity of flexible loads and new energy sources

Yang, Jie; Li, Yaxin; Fang, Rengcun; Xu, Hanping; Chen, Ke

doi:10.1109/icedme52809.2021.00035

Cited by 1 publication

(1 citation statement)

References 2 publications

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“…For example, electrochemical energy storage and grid interaction can regulate peak and frequency (Dasgupta et al, 2015), reduce grid-side grid loss and the amount of heavy load line, improve its network coordination, and thus achieve the purpose of slowing down the construction of new lines. The construction of flexible load near power sources can promote the local consumption of new energy (Yang et al, 2021), which can play a role in reducing the pressure of new energy outgoing and thus slow down the construction of new lines. In the interaction between electrochemical energy storage and flexible load and power supply, both can play a role in reducing abandoned wind and solar power and maintaining the power balance of the grid, so electrochemical energy storage and flexible load will also influence the construction order of each other.…”

Section: Introductionmentioning

confidence: 99%

A complex grid investment decision method considering source-grid-load-storage integration

2023

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With the widespread use of renewable energy worldwide, the impact of its randomness and volatility on the grid is increasing. To promote the consumption of renewable energy, the traditional grid is being transformed into a complex grid with integrated source–grid–load–storage. Since the complex grid has the characteristics of source–grid–load–storage interaction, the traditional grid investment decision method will no longer be applicable. First, this study proposes the unilateral indexes of source, grid, load, and storage in complex grids and the interactive indexes considering grid–source interaction, load–grid interaction, source–load interaction, source–storage interaction, load–storage interaction, and grid–storage interaction are proposed to establish the investment decision system. Then, a hesitance fuzzy linguistic term set combined with regret theory is used to calculate the specific values of the subjectivity index, taking into full consideration the regret avoidance and loss avoidance psychology of investors. In order to comprehensively consider the index preference of investors and the objectivity of weight assignment, a combined weighting method based on the analytic network process (ANP) and entropy weight method (EWM) is obtained according to the game theory method. Finally, using a grid in a region of southwest China as an example, the results demonstrate that the construction order obtained in this study can prioritize the projects with the largest comprehensive benefits while considering the subjective preferences of decision-makers and the objectivity of the indexes.

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Section: Introductionmentioning

confidence: 99%