講演抄録/キーワード |
講演名 |
2013-07-04 11:50
Smart Pricing Scheme Facilitating Scoring Rule based Incentive Payment ○Shantanu Chakraborty・Takayuki Ito(Nitech) AI2013-5 |
抄録 |
(和) |
Defining appropriate pricing strategy for smart environment is important and complex at the same time. In our work, we device an incentive based smart dynamic pricing scheme for consumers facilitating a hierarchical scoring mechanism. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company (GENCO). Based on the Continuous Ranked Probability Score (CRPS), a hierarchical scoring system is formed among these entities, CA-EP-GENCO. As CA receives the dynamic day-ahead pricing signal from EP, it will schedule the household devices to lower price period and report the prediction in a form of a probability distribution function to EP. EP, in similar way reports the aggregated demand prediction to GENCO. Finally, GENCO computes the base discount after running a cost-optimization problem. GENCO will reward EP with a fraction of discount based on their prediction accuracy. EP will do the same to CA based on how truthful they were reporting their intentions on device scheduling. The method is tested on real data provided by Ontario Power Company and we show that this scheme is capable to reduce energy consumption and consumers' payment. |
(英) |
Defining appropriate pricing strategy for smart environment is important and complex at the same time. In our work, we device an incentive based smart dynamic pricing scheme for consumers facilitating a hierarchical scoring mechanism. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company (GENCO). Based on the Continuous Ranked Probability Score (CRPS), a hierarchical scoring system is formed among these entities, CA-EP-GENCO. As CA receives the dynamic day-ahead pricing signal from EP, it will schedule the household devices to lower price period and report the prediction in a form of a probability distribution function to EP. EP, in similar way reports the aggregated demand prediction to GENCO. Finally, GENCO computes the base discount after running a cost-optimization problem. GENCO will reward EP with a fraction of discount based on their prediction accuracy. EP will do the same to CA based on how truthful they were reporting their intentions on device scheduling. The method is tested on real data provided by Ontario Power Company and we show that this scheme is capable to reduce energy consumption and consumers' payment. |
キーワード |
(和) |
Smart Grid / Demand Response / Incentive Design / Scoring Rule / Energy Management / / / |
(英) |
Smart Grid / Demand Response / Incentive Design / Scoring Rule / Energy Management / / / |
文献情報 |
信学技報, vol. 113, no. 113, AI2013-5, pp. 25-30, 2013年7月. |
資料番号 |
AI2013-5 |
発行日 |
2013-06-27 (AI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
AI2013-5 |