Shaochong Zhang
Shaochong Zhang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bo Zhou
College of Electric Engineering, Shanghai University of Electric Power, Shanghai 200090, China
1 shared publication - Chenxu Hu
China Electric Power Research Institute, Haidian, Beijing 100192, China
1 shared publication - Guodong Huang
China Electric Power Research Institute, Haidian, Beijing 100192, China
1 shared publication - Hui Cui
China Electric Power Research Institute, Haidian, Beijing 100192, China
1 shared publication - Jingyang Zhou
China Electric Power Research Institute, Haidian, Beijing 100192, China
1 shared publication - Shaochong Zhang
China Electric Power Research Institute, China
1 shared publication
Latest Publications
- Open Access
- 24 February 2025
- Published by MDPI AG in Preprints.org
Research on the Construction Method of Inter-Provincial Spot Trading Network Model Considering Power Grid Congestion
To address the issues of the current nodal pricing mechanism, which does not incorporate fixed transmission costs and leads to unfair transmission cost allocation, this paper proposes a full-cost electricity pricing model based on power flow tracing technology. By defining full-cost electricity pricing and integrating generation marginal costs with effective transmission costs, the proposed model adheres to the principle of "costs borne by beneficiaries." The effectiveness of the proposed model is validated through case studies on IEEE 30-bus and IEEE 118-bus systems. The results demonstrate that the proposed method can optimize power grid resource allocation and enhance investment efficiency while considering power grid congestion.
- 24 February 2025
- Published by MDPI AG in Preprints.org
Open AccessResearch on the Construction Method of Inter-Provincial Spot Trading Network Model Considering Power Grid Congestion
To address the issues of the current nodal pricing mechanism, which does not incorporate fixed transmission costs and leads to unfair transmission cost allocation, this paper proposes a full-cost electricity pricing model based on power flow tracing technology. By defining full-cost electricity pricing and integrating generation marginal costs with effective transmission costs, the proposed model adheres to the principle of "costs borne by beneficiaries." The effectiveness of the proposed model is validated through case studies on IEEE 30-bus and IEEE 118-bus systems. The results demonstrate that the proposed method can optimize power grid resource allocation and enhance investment efficiency while considering power grid congestion.