Microgrid load optimization based on generalized demand side resources / Yimin Zhou.

Format:

Book

Author/Creator:

Zhou, Yimin (Electrical engineer), author.

Series:

Quality Control Engineering and Manufacturing

Language:

English

Subjects (All):

Microgrids (Smart power grids).

Physical Description:

1 online resource (203 pages) : illustrations, graphs.

Place of Publication:

New York, [New York] : Nova Science Publishers, 2018.

Summary:

The current power grid in China has a series of problems, such as aging infrastructure, the growing lack of resources, and the continued growth of energy demand and environmental pollution, which proposes new requirements for national grid construction. The smart grid is the trend for the future development of the power grid. The smart grid emphasizes interaction with user information and energy. The user energy management system can adjust and optimize the charging and discharging of the energy storage device according to the user's dynamic real-time load. It can quickly and accurately predict power load, change user electricity consumption behavior through the price mechanism so as to achieve load shifting, energy conservation and improve power supply efficiency. The distributed power system including renewable energies has quite a number of uncertainties, and electric usage behavior is random with a high degree of freedom, which is a complex system with multiple time scales and strong coupling. Therefore, how to effectively manage the uncertainty of the intermittent power, energy conversion equipment and the diversity of load variation are important problems which should be solved in the first place. Furthermore, under different operating conditions and constraints, to realize economic operation and reliable multi-power supply with a high degree unity is the key technical problem faced with energy management and optimization scheduling in the distributed grid-- Provided by publisher.

Contents:

Introduction

Electric load management with feedback mechanism

Electric load management with intelligent optimization algorithm

State-of-charge of a battery

Vehicle to grid technologies

Evaluation of the demand side management implementation in smart grid

Hierarchical system for energy consumption monitoring and information management

Conclusions and future work.

Notes:

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-5361-3050-8