A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

• Published in: Journal of physics. Conference series Vol. 2689; no. 1; pp. 12009 - 12016
• Main Authors: Sun, H, Li, Z, Zhang, K, Liu, M, Yang, Y, Liu, J
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.01.2024
• Subjects: Configurations; Electrical loads; Energy management; Energy storage; Retrofitting; Scheduling
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2689/1/012009

Abstract Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems.