Name
Abstract | ||
|---|---|---|
This paper explores new application of agent-based simulation in the novel framework of exploitation of renewable resources in microgrids. A bi-layer (operational layer and investment layer) multi-agent model is proposed for microgrid operators (MGOs) to maximize their long-term planning profits in an energy market, which is built and regulated by the utility company (UC) in order to alleviate UC's environmental obligations. UC tries to maximize its revenue and minimize payment to satisfy demand for renewable generation. The results of investment plans with peaked choice probabilities in the investment layers are treated as the best decisions of MGOs' expansion planning in the evolutionary game. An example with twenty years planning horizon is given to illustrate the proposed model and market mechanism. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISGT.2013.6497868 | ISGT |
Keywords | Field | DocType |
energy market,microgrid,the utility company,renewable resource generation,microgrid generation expansion planning,microgrid operator,operational layer,uc,multi-agent systems,reinforcement learning algorithm (rla),time 20 year,game theory,power engineering computing,power distribution economics,utility company,evolutionary game theory,distributed power generation,generation expansion,investment,mgo,agent-based simulation,bilayer multiagent model,power markets,long-term planning profit maximization,investment plan layer,peaked choice probability,power distribution planning,probability,multi agent systems | Revenue,Market mechanism,Economics,Time horizon,Energy market,Microeconomics,Operations research,Multi-agent system,Game theory,Microgrid,Profit (economics) | Conference |
ISBN | Citations | PageRank |
978-1-4673-4895-9 | 0 | 0.34 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanyi He | 1 | 21 | 3.01 |
| Ratnesh K. Sharma | 2 | 483 | 53.37 |