Optimal Combination Control Technology of Demand Side Resources of Distributed Renewable Energy Power Generation

Authors

  • Hong-Mei Zhou School of Public Administration, Sichuan University, Chengdu, China
  • Yan Chen Business School, Sichuan University, Chengdu, China
  • Qi-jie Jiang Business School, Chengdu University, Chengdu, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3631

Keywords:

Unit commitment, demand-side resources, fuzzy dual-objective optimization model, combined control, greenhouse gas emission reduction.

Abstract

The paper proposes a new unit commitment model that can promote car-
bon emission reduction in distributed renewable energy power systems. The
model first comprehensively considers the optimal combination of low-
carbon demand-side resources such as supply-side resources and demand
response, electric vehicles, and distributed renewable energy power gener-
ation. Secondly, the model unit scheduling rules fully consider the carbon
emission target and the economic target and propose a fuzzy dual-objective
optimization method that can consider the relative priority of the target. When
solving the optimization model, we improved the particle swarm optimization
algorithm. We introduced the “cross” and “mutation” operators in the genetic
algorithm to improve the particle swarm algorithm’s global optimization
capability. The paper verifies the effectiveness of the model and algorithm
through the analysis of a ten computer system.

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Author Biographies

Hong-Mei Zhou, School of Public Administration, Sichuan University, Chengdu, China

Hong-Mei Zhou received her bachelor’s degree and master’s degree in the
School of Public Administration in Sichuan University and now she is a
doctoral student in the School of Economics in Sichuan University. She has
been serving as a reviewer for many highly respected journals. Her research
interests include strategic management, smart enterprises. She has hosted
several projects from the National Natural Science Foundation of China.

Yan Chen, Business School, Sichuan University, Chengdu, China

Yan Chen received her bachelor’s degree and master’s degree in Sichuan
University and now is a Ph.D. student in Sichuan University Business School,
and her research interest mainly focuses on strategic management. She has
been serving as a reviewer for many highly respected journals

Qi-jie Jiang, Business School, Chengdu University, Chengdu, China

Qi-jie Jiang got his bachelor’s degree and master’s degree in Sichuan Univer-
sity Economic School and obtained his Ph.D. degree in Sichuan University
Business School, majoring in strategic management. He visited the University
of Nottingham as an exchange student from 2017 to 2018, majoring in
marketing. Now he is an associate professor in Chengdu University Business
School and his research areas include social tourism, marketing, and smart
tourism.

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Published

2021-07-06

How to Cite

Zhou, H.-M. ., Chen, Y. ., & Jiang, Q.- jie. (2021). Optimal Combination Control Technology of Demand Side Resources of Distributed Renewable Energy Power Generation. Distributed Generation &Amp; Alternative Energy Journal, 36(3), 203–218. https://doi.org/10.13052/dgaej2156-3306.3631

Issue

2021: Vol 36 Iss 3

Section

Articles