GridPath India long-term (2020-2050) power system planning model data

This repository provides model data for GridPath-India, a capacity
expansion model (CEM) implemented in the open-source GridPath platform.
GridPath-India represents India’s electricity system with 34 load zones,
interstate transmission, and hourly demand. Generation, storage, and
transmission investments and operations are optimized across multiple
planning periods from 2020 to 2050. This model uses two representative
days per month (peak and median demand) at hourly temporal resolution to
simulate long-term power system planning and operations. The model data
includes existing, planned, and candidate generation and storage projects,
as well as more than 1,300 candidate wind and solar sites, and a
compilation of state-level coal captive capacity. Plus, a predefined set
of scenarios for transmission and project portfolios, operational
characteristics, reliability requirements, and policy targets, efficient
load-carrying capability for VRE projects, availability factors, and
temporal structures. Additionally, the repository provides project-level
wind and solar capacity factors for multiple technology configurations.

本仓库为GridPath-India提供模型数据，该模型是基于开源GridPath平台开发的容量扩展模型（Capacity Expansion Model，CEM）。GridPath-India以34个负荷分区、州际输电网络及逐时用电需求表征印度电力系统。本模型针对2020至2050年的多规划周期，对发电、储能与输电的投资及运行开展全局优化。
该模型采用每月2个典型日（峰值与中位用电日）的逐时时间分辨率，模拟长期电力系统规划与运行场景。模型数据涵盖已投运、规划中与待选的发电及储能项目，此外还包含1300余个待选风电与光伏场址，以及各州级煤炭自备机组容量的汇总数据集。
此外，本仓库预设了多组场景，涵盖输电系统与项目组合、运行特性、可靠性要求及政策目标，可变可再生能源（Variable Renewable Energy, VRE）项目的高效带载能力、可用性因子与时间结构等内容。同时，本仓库还提供了多种技术配置下的项目级风电与光伏容量因子数据。