A NSGA-II Based Peak Load Shifting Optimization Method for Customers with Distributed Generators Considering Time-of-use Price

With the extensive use of distributed generation, the traditional demand response analysis cannot meet the current requirements. This paper proposes a NSGA-II based peak load shifting optimization method for customers with distributed generators considering time-of-use price. Firstly, a fuzzy classi...

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Bibliographic Details
Published in:Chinese Control Conference pp. 7626 - 7631
Main Authors: Zhou, Hao, Ding, Min, Hu, Bo, Wang, Qingyi, Tan, Zhili, Li, Danyun
Format: Conference Proceeding
Language:English
Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
Subjects:
Demand Respond
Distributed Generation
Distributed power generation
Heuristic algorithms
Load management
Load modeling
Mathematical model
Multi-objective Genetic Algorithm
Optimization
Real-time systems
Time-of-use Price
ISSN:1934-1768
Online Access:Get full text
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Summary:With the extensive use of distributed generation, the traditional demand response analysis cannot meet the current requirements. This paper proposes a NSGA-II based peak load shifting optimization method for customers with distributed generators considering time-of-use price. Firstly, a fuzzy classification method divides the daily power into three time segments, peak hours, flat hours and valley hours. Secondly, on the basis of the time-of-use price, a peak load shifting optimization model is built with constraints and the objectives of minimizing the peak load, maximizing the valley load, and minimizing the peak-valley difference. Then, a NSGA-II based optimization method solves the optimal model and obtains the optimal electricity prices of different time segments to shift the peak load and the valley load. Finally, the simulation results shows the effectiveness of the proposed method.
ISSN:1934-1768
DOI:10.23919/ChiCC.2018.8483882