Open AccessA bi-level model for distributed generation optimal operating considering benefits of park power distribution company
Author(s) -
Shuo Yin,
Shiqian Wang,
Meng Yang,
Fengkai Qiu,
Jialin Lin,
Shuo Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042032
Subject(s) - distributed generation , profit (economics) , particle swarm optimization , distribution (mathematics) , computer science , compensation (psychology) , investment (military) , operations research , power (physics) , mathematical optimization , business , microeconomics , industrial organization , economics , engineering , renewable energy , electrical engineering , mathematics , psychology , mathematical analysis , physics , quantum mechanics , politics , political science , law , psychoanalysis
Distributed power generation market transactions provide a new profit model for park power distribution companies, which stimulates its enthusiasm for investing in distributed generation (DG). This paper integrates the investment income of distributed generation and the operation strategy of the park power distribution company into a bilevel programming problem. The improved particle swarm optimization algorithm is used to solve the model. The results show that the model can increase the comprehensive income of the distribution company, formulate a reasonable DG contract price and interruptible load compensation price, and effectively guide the planning and configuration of distributed generation and the economic efficiency of power distribution companies.