How does load-side re-electrification help carbon neutrality in energy systems: Cost competitiveness analysis and life-cycle deduction

H Zhang, T Ding, Y Sun, Y Huang, Y He… - … and Sustainable Energy …, 2023 - Elsevier
Load-side re-electrification—the substitution of prevalent fossil fuel-dominated structures
with a wider range of electric end-use technologies—has been recognized as a crucial …

Electricity Pricing and Its Role in Modern Smart Energy System Design: A Review

J Liu, H Hu, SS Yu, H Trinh - Designs, 2023 - mdpi.com
Energy is the foundation for human survival and socio-economic development, and
electricity is a key form of energy. Electricity prices are a key factor affecting the interests of …

[PDF][PDF] 面向新型电力系统的需求响应机制探讨

范帅, 危怡涵, 何光宇, 李祖毅 - 电力系统自动化, 2022 - researchgate.net
以新能源为主导的新型电力系统中, 发电侧调节能力显著下降, 亟待充分挖掘需求侧的调节能力,
弥补新能源并网所造成的灵活性匮乏. 首先, 指出新型电力系统下需求响应机制应具备规模化 …

Incorporating P2P trading into DSO's decision-making: a DSO-prosumers cooperated scheduling framework for transactive distribution system

H Sheng, C Wang, X Dong, K Meng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The emerging prosumers have changed the way traditional distribution systems operate.
While harvesting the benefits of Distributed Energy Resources (DERs), prosumers' self …

[HTML][HTML] Minimizing pricing policies based on user load profiles and residential demand responses in smart grids

MB Rasheed, MD R-Moreno - Applied Energy, 2022 - Elsevier
This paper considers the time of use (TOU) pricing scheme to propose a consumer aware
pricing policy (CAPP), where each customer receives a separate electricity pricing signal …

Reinforcement learning-based demand response management in smart grid systems with prosumers

F Sangoleye, J Jao, K Faris… - IEEE Systems …, 2023 - ieeexplore.ieee.org
In this article, we introduce a reinforcement learning-based price-driven demand response
management (DRM) mechanism in smart grid systems consisting of prosumers. Our …

Efficient demand response location targeting for price spike mitigation by exploiting price-demand relationship

Y Zhang, H Wen, T Feng, Y Chen - Applied Energy, 2024 - Elsevier
Demand response (DR) leverages demand-side flexibility, offering a promising approach to
enhance market conditions like mitigating wholesale price spikes. However, poorly chosen …

Evolutionary game based demand response bidding strategy for end-users using Q-learning and compound differential evolution

O Han, T Ding, L Bai, Y He, F Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Load aggregators (LAs) play a key role in fully tapping the demand response (DR)
resources of small and medium-sized end-users to enable a more flexible power grid. In the …

A novel 4-level joint optimal dispatch for demand response of data centers with district autonomy realization

O Han, T Ding, M Yang, W Jia, X He, Z Ma - Applied Energy, 2024 - Elsevier
Data centers (DCs) are gradually becoming one of the world's largest energy consumers.
Owing to their spatial-temporal transferable characteristics, DCs show great potential in …

Embedding P2P transaction into demand response exchange: A cooperative demand response management framework for IES

K Wang, C Wang, W Yao, Z Zhang, C Liu, X Dong… - Applied Energy, 2024 - Elsevier
The efficient utilization of integrated demand response (IDR) is substantially impeded by the
centralized management structure, where the integrated energy operator (IEO) exclusively …