Article
Multidisciplinary Sciences
Jun Du, Zongnan Zhang, Menghan Li, Jing Guo, Kongge Zhu
Summary: This paper proposes a new comprehensive demand response model for the optimal scheduling problem of integrated energy systems. By improving the Gray Wolf Optimizer and combining with methods such as the Fuzzy C-means clustering algorithm and the Harris Hawk Optimizer, the performance of the optimization algorithm is enhanced, achieving better results.
SCIENTIFIC REPORTS
(2022)
Article
Green & Sustainable Science & Technology
Bishwajit Dey, Fausto Pedro Garcia Marquez, Aniruddha Bhattacharya
Summary: This research uses a hybrid intelligence method to reduce the total cost of microgrid systems and incorporates demand-side management to optimize the demand model and adjust the timing of elastic loads, resulting in energy cost savings.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Bishwajit Dey, Srikant Misra, Fausto Pedro Garcia Marquez
Summary: The primary goal of this paper is to provide a demand-response (DR) model that maximizes the benefits of energy retailers, specifically microgrid customers. The model takes into account the different behaviors of customers during peak and valley periods and uses an exhaustive optimization process to calculate the optimal incentive value. The results show that the use of a DR-based energy management microgrid system significantly reduces overall generating costs and pollutants released, while also lowering the peak demand.
Article
Automation & Control Systems
Leehter Yao, Jin Chuan Teo
Summary: This study proposes a system that integrates fuel cells with the power system of a chlorine factory and designs a comprehensive optimal power dispatch algorithm to optimize the factory's energy management. The algorithm considers the power consumption of the electrolyzer, the output power of fuel cells, and the power purchased from the grid, using mixed-integer linear programming to solve nonlinearity issues. Furthermore, the article discusses how participating in an incentive-based demand response program can further increase the factory's profit.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
Haiteng Han, Yao Zhang, Tiantian Wei, Haixiang Zang, Guoqiang Sun, Chen Wu, Zhinong Wei
Summary: The increase in energy consumption has depleted fossil fuels and intensified the greenhouse effect, making low carbonization a key trend in global energy development. Demand response resources can be used to cooperate flexibly with renewable energy, optimizing system dispatch and promoting renewable energy consumption.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Shouxiang Wang, Shaomin Wang, Qianyu Zhao, Shuai Dong, Hao Li
Summary: In order to address the contradiction between improving economy and reducing carbon emissions, a low-carbon optimal dispatch model of an integrated energy station (IES) is proposed, considering carbon capture and hydrogen demand. The model includes a wind-photovoltaic-hydrogen power (WPHP) integration model, a coupling model of carbon capture system (CCS) and power-to-gas (P2G), and an integrated demand response (IDR) model. The effectiveness of the model is verified through a numerical example.
Article
Engineering, Electrical & Electronic
Adil Khurram, Mahraz Amini, Luis A. Duffaut Espinosa, Paul D. H. Hines, Mads R. Almassalkhi
Summary: This paper presents a novel real-time grid-and-DER cyber-physical co-simulation platform for testing advanced DER coordination schemes and characterizing the behaviors of a DER fleet. The platform has advantages in testing real-time performance, characterizing state distribution, and analyzing the effects of limitations on fleet-wide performance.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Di Wu, Xu Ma, Patrick Balducci, Dhruv Bhatnagar
Summary: This paper discusses the challenges faced by Hawaii with increasing solar generation and the potential of demand response. The Hawaii Public Utilities Commission has approved the Hawaiian Electric Company's revised portfolio of DR programs. Research shows that pairing BESS with PV can generate multiple value streams for Hawaii's power grid, with compensation from DR programs playing a significant role in improving cost-effectiveness.
Article
Engineering, Electrical & Electronic
Tonghe Wang, Jing Wang, Yuming Zhao, Jie Shu, Jiongcong Chen
Summary: This study proposes a multi-objective optimal dispatch strategy for residential load resources, considering the DR potential, participation willingness, and comfort of residential users. A comprehensive evaluation system is constructed to determine the adjustable capacity and task allocation for each user. A hybrid DR model is developed considering user participation willingness, electricity price, and economic incentives. The proposed optimization model aims to improve user satisfaction, user income, and load aggregator income. Simulation results demonstrate the effectiveness of the model in enhancing user satisfaction and ensuring benefits for both load aggregators and users.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Multidisciplinary Sciences
Yilin Long, Yong Li, Yahui Wang, Yijia Cao, Lin Jiang, Yicheng Zhou, Youyue Deng, Yosuke Nakanishi
Summary: This paper proposed a low-carbon economic dispatch model for multi-energy microgrid (MEMG) to minimize the daily operation cost by considering integrated demand response (IDR) and multistep carbon trading, which can effectively reduce carbon emission while greatly decreasing the operation cost.
SCIENTIFIC REPORTS
(2022)
Article
Thermodynamics
Thabo G. Hlalele, Jiangfeng Zhang, Raj M. Naidoo, Ramesh C. Bansal
Summary: This paper proposes a combined economic dispatch and demand response optimization model, which is tested using real data and shows good performance. Specifically, the model utilizes a renewable obligation policy and direct load control to minimize generation costs while maximizing renewable penetration.
Article
Green & Sustainable Science & Technology
Minghao Guo, Wei Wang, Renhui Chen, Yuanhan Li
Summary: This paper proposes a bi-level model of Source-Load-Storage collaborative dispatch to address the supply-demand mismatch caused by the extensive utilization of renewable energy sources and the growth of power loads. The model aims to promote economic operation of the grid by considering the uncertainty and fluctuation of both factors. The simulation results demonstrate the economic efficiency of the model and algorithm compared to other cases.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Aanchit Nayak, Avirup Maulik, Debapriya Das
Summary: This paper proposes an integrated optimal energy management scheme for AC microgrids, which aims to enhance the steady-state performance of the microgrid by minimizing the operating cost and reducing emissions through various measures. Uncertainties are modeled using a stochastic approach, and bi-objective optimization is carried out in the fuzzy domain.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Hong Tang, Shengwei Wang
Summary: This study develops a novel model-based predictive dispatch strategy for hybrid building energy systems to maximize economic benefits in electricity markets by considering the correlation between multiple flexibility resources and grid control signals, which can lower electricity costs in the electricity market.
Article
Economics
Balasubramanian Sambasivam, Yuan Xu
Summary: India has set 2070 as the target year for achieving carbon neutrality, but the dominance of carbon-intensive fossil fuels in its energy system remains a challenge. This study examines how the state of Karnataka in India managed to significantly enhance solar PV capacity factor and reduce curtailment by implementing load shift and economic dispatch policies. The results show that these policies contributed to a 20% and 70% increase in the capacity factor, respectively, leading to a 40% reduction in the cost of solar electricity. This research suggests that similar policies can be adopted by India and other countries to further accelerate and optimize the energy transition.