A Multi-Type Dynamic Response Control Strategy for Energy Consumption

Author:

Jing Lantao1,Wei Enyu1,Wang Liang1,Li Jinkuo2,Zhang Qiang3

Affiliation:

1. Shenyang Institute of Engineering, Shenyang 110000, China

2. China Energy Construction Group Liaoning Electric Power Survey and Design Institute Co., Ltd., Shenyang 110000, China

3. State Grid Liaoning Electric Power Academy, Shenyang 110000, China

Abstract

In the context of the “Dual-Carbon Strategy”, the seamless integration and optimal utilization of renewable energy sources present a pressing challenge for the emerging power system. The advent of demand-side response technology offers a promising solution to this challenge. This study proposes a two-stage response control strategy for multiple DR clusters based on the specific response time characteristics of industrial and residential loads. The strategy enhances the utilization rate of wind power, harnesses the joint response capability of various types of loads on the demand side, and ensures the overall revenue of the load aggregator (LA). It underscores the importance of industrial loads in large-scale energy consumption control throughout the overall consumption response process, while residential load clusters exhibit quick response flexibility. A homogeneous energy consumption sorting unit response strategy is established from the perspective of a residential load variable-frequency air conditioning cluster unit. This strategy addresses the challenge faced by industrial electrolytic aluminum plants in coping with long-term response intervals amidst significant fluctuations in wind power consumption demand, which may lead to incomplete consumption. This study constructs a response model based on industrial and residential time-sharing tariffs, as well as the aggregator consumption penalty price, with the optimal load energy economy index serving as the evaluation criterion. A series of simulations are conducted to comprehensively evaluate the energy consumption of the two load clusters at all times and the total revenue of the aggregator in the response zone. The objective is to achieve a win–win situation for the total wind power energy consumption rate and the aggregator’s economy. The results of the simulations demonstrate that the response control strategy proposed in this study enhances the overall energy consumption rate by nearly 4 percentage points compared to a single industrial cluster. The total benefit of the load aggregator can reach CNY 941,732.09. The consumption response scheduling strategy put forward in this paper bolsters wind power consumption, triggers demand response, and significantly propels the comprehensive construction and development of the dual-high power grid.

Funder

Liaoning Provincial Department of Education Surface Project

Liaoning Provincial Department of Science and Technology Joint Fund for Innovation Capacity Enhancement

Publisher

MDPI AG

Reference20 articles.

1. Jia, L., Qin, Y., Liang, J., Liu, Z., Diao, L., and An, M. (2022). Influence of Wind Power Generation System Accessing to Traction Power Supply System on Power Quality, Springer. Lecture Notes in Electrical Engineering.

2. Tsai, W.-C., Hong, C.-M., Tu, C.-S., Lin, W.-M., and Chen, C.-H. (2023). A Review of Modern Wind Power Generation Forecasting Technologies. Sustainability, 15.

3. Electrical Power Crisis Solution by the Developing Renewable Energy Based Power Generation Expansion;Bagdadee;Energy Rep.,2020

4. Integrated expansion planning of electric energy generation, transmission, and storage for handling high shares of wind and solar power generation;Amraee;Appl. Energy,2021

5. Challenges of Renewable Energy Penetration on Power System Flexibility: A Survey;Impram;Energies,2020

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