A Multi-Level Investment Demand Assessment Model for Renewable-Dominated Power System Planning

Abstract

To achieve the goal of carbon peak and carbon neutrality, the integration of diversified renewable energy will be the principal feature of the planning framework of the smart grid, and the planning direction and focus of power systems would shift to the network transmittability and flexibility enhancement. This paper presents an infrastructure investment demand assessment model based on multi-level analysis method for the renewable-dominated power system planning. First, for the load side, the composite capacity ratio is used to assess the capacity demand of power transformation infrastructure for satisfying the load growth. Then, the renewable energy permeability is adopted as the basis to assess the extensional transmittability capacity for the integration of high renewables. Furthermore, the capacity demand of flexible transmission lines for power grid flexibility enhancement is also estimated. Finally, the amount of unit investment for source-network-load infrastructure capacities can be predicted based on the least square generation adjunctive network and support vector machine (LSGAN-SVM) algorithm. The performance of the proposed model has been tested and benchmarked on a practical-sized power system to verify its effectiveness and feasibility.

Opinions on power grid infrastructure planning with investment risks

“…Power grid infrastructure planning schemes are usually affected by various investment risks in the construction duration, such as financial risks (Ammar and Eling, 2015;Zhao et al, 2022), power demand changes (Li et al, 2022;Yang et al, 2022), and extreme climates (Cao et al, 2022). Due to these investment risks, the actual completion date of power grid infrastructure projects may be delayed, and thus the electricity demand for load growth and renewable energy integration cannot be well satisfied (Dang et al, 2019).…”

Opinions on power grid infrastructure investments for renewable energy accommodation in China

“…In particular, the wind and solar power curtailment rates in the "Three-North" (i.e., northeast, north, and northwest) regions in China reached 17.1% and 10% in 2016, respectively (Zhang X. et al, 2021). Generally, the hosting capacity of renewable energy is inevitably affected by multiple factors related to power grid infrastructure planning, such as the location of RESs (Yang and Xia, 2022), inter-regional transmission capacity (Li et al, 2019), peak-valley load difference (Li et al, 2022), and extreme climates (Cao et al, 2022). Reasonable power grid infrastructure investments could increase the system flexibility and hosting capacity of renewable energy to mitigate the adverse impacts caused by high shares of grid-connected RESs.…”

Two-Stage Dynamic Alliance Bidding for Incremental Distribution and Retail Companies Based on Complex Network Theory

“…With the reform of the electricity market in China (Fu et al, 2022), IDRC has become a strategic player in the wholesale electricity market, operating the distribution network and distributed energy resources (DERs). Under the background of carbon neutrality and carbon peak (Li et al, 2022), the penetration of renewable energy in the distribution network gradually increases. Due to the uncertainty of renewable energy output and load, the deviation between contract and actual volume is inevitable for IDRC (Moghimi and Barforoushi, 2020).…”