Name
Abstract | ||
|---|---|---|
The decarbonization of transport and heating will introduce uncertain smart appliance growth in the power system, which fundamentally challenges traditional network pricing. In this paper, a new long-term distribution network charging is proposed to accommodate uncertain load growth. Instead of using fixed a load growth rate (LGR), it adopts a fuzzy model, developed based on a set of projected deterministic LGRs and confidence levels. This fuzzy model is incorporated into the pricing model through a-cut intervals. In order to improve computational efficiency, an analytical pricing approach is introduced. The vertex extension approach is used to build charge membership functions. Thereafter, a common defuzzification approach, center of gravity, is employed to defuzzify membership functions in order to generate deterministic charges. The new approach is benchmarked with two existing standard charging methods on a practical U.K. high-voltage distribution system. Results show that it is effective in capturing the uncertainty in load growth. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSG.2016.2518175 | IEEE TRANSACTIONS ON SMART GRID |
Keywords | Field | DocType |
Network pricing, load growth, fuzzy set, defuzzification, centre of gravity, distribution network | Network pricing,Mathematical optimization,Vertex (geometry),Defuzzification,Distribution networks,Electric power system,Fuzzy set,Probabilistic logic,Mathematics,Center of gravity | Journal |
Volume | Issue | ISSN |
7 | 4 | 1949-3053 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenghong Gu | 1 | 4 | 7.82 |
| Wenjiang Yang | 2 | 0 | 0.34 |
| Yong-Hua Song | 3 | 291 | 29.51 |
| Furong Li | 4 | 18 | 8.16 |