{"title":"考虑短期不确定性因素的德国电力市场代理模型","authors":"Andreas Bublitz, M. Genoese, W. Fichtner","doi":"10.1109/EEM.2014.6861215","DOIUrl":null,"url":null,"abstract":"This paper proposes an agent-based model for the German wholesale electricity market that accounts for short-time uncertainty factors such as power plant outages or fluctuating renewable energy sources. The model is highly detailed using hourly values for the national demand and the feed-in from renewable energy sources as well as daily prices for carbon, coal, gas and oil. Each power plant in Germany with a capacity of more than 10 MW is considered in the model. Generation companies are represented by agents that submit bids into the market based on variable costs, start-up costs and minimal startup times of their generation capacities. In order to validate the model, a simulation is run which demonstrates that the model is well capable of replicating historical market results.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"An agent-based model of the German electricity market with short-time uncertainty factors\",\"authors\":\"Andreas Bublitz, M. Genoese, W. Fichtner\",\"doi\":\"10.1109/EEM.2014.6861215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an agent-based model for the German wholesale electricity market that accounts for short-time uncertainty factors such as power plant outages or fluctuating renewable energy sources. The model is highly detailed using hourly values for the national demand and the feed-in from renewable energy sources as well as daily prices for carbon, coal, gas and oil. Each power plant in Germany with a capacity of more than 10 MW is considered in the model. Generation companies are represented by agents that submit bids into the market based on variable costs, start-up costs and minimal startup times of their generation capacities. In order to validate the model, a simulation is run which demonstrates that the model is well capable of replicating historical market results.\",\"PeriodicalId\":261127,\"journal\":{\"name\":\"11th International Conference on the European Energy Market (EEM14)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"11th International Conference on the European Energy Market (EEM14)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEM.2014.6861215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th International Conference on the European Energy Market (EEM14)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2014.6861215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An agent-based model of the German electricity market with short-time uncertainty factors
This paper proposes an agent-based model for the German wholesale electricity market that accounts for short-time uncertainty factors such as power plant outages or fluctuating renewable energy sources. The model is highly detailed using hourly values for the national demand and the feed-in from renewable energy sources as well as daily prices for carbon, coal, gas and oil. Each power plant in Germany with a capacity of more than 10 MW is considered in the model. Generation companies are represented by agents that submit bids into the market based on variable costs, start-up costs and minimal startup times of their generation capacities. In order to validate the model, a simulation is run which demonstrates that the model is well capable of replicating historical market results.