相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Thermodynamics
Md Mustafizur Rahman et al.
Summary: A techno-economic model was developed to estimate the levelized cost of storage (LCOS) of vehicle-to-grid (V2G) technology in cold climates. Sensitivity analysis showed that key parameters such as ambient temperature and battery cycle life have a significant impact on economic performance. The LCOS for energy arbitrage and frequency regulation ranged from $158-$290/MWh and $244-$485/MWh, respectively.
Article
Green & Sustainable Science & Technology
Ting Chen et al.
Summary: This study proposes a framework of wind farm system based on CES service and designs an optimal configuration model to reduce energy storage costs and suppress wind power fluctuations.
IET RENEWABLE POWER GENERATION
(2022)
Article
Thermodynamics
Wen-Yi Zhang et al.
Summary: This paper studies the equilibrium state of supply-demand flow in a peer-to-peer market model for residential shared energy storage units and proposes a method for service pricing and load dispatching. A game model is proposed to characterize the market equilibrium, and a mixed-integer linear program is developed to compute the market equilibrium.
Article
Green & Sustainable Science & Technology
Guoqiang Sun et al.
Summary: This study proposes a bi-level model for prosumer aggregation, allowing multiple small-scale prosumers to participate in electricity markets as a single entity. The effectiveness and economy of this approach are demonstrated through numerical results.
Article
Energy & Fuels
Catia Silva et al.
Summary: Active communities are emerging to create a cleaner and safer energy system. The uncertainty of main resources calls for flexibility from the demand side. This study focuses on the impact of Energy Storage Systems (ESS) in an active community, utilizing clustering analysis to identify patterns and highlighting the importance of ESS from both Aggregator and active consumer perspectives.
Article
Energy & Fuels
Hsiu-Chuan Chang et al.
Summary: Distributed Energy Resources, including shared energy storage within a community, are gaining more attention in various countries. This paper proposes a framework for allocating shared energy storage and optimizing operational cost of electricity. The results show the advantage of community energy storage over private energy storage and evaluate the cost savings for future deployment.
Article
Energy & Fuels
Haibing Wang et al.
Summary: This study proposes a two-stage stochastic hierarchical framework for energy pricing and management of integrated energy service providers (IESP), considering the demand response (DR) strategy of users, characteristics of energy storage, and uncertainties in electricity and gas wholesale prices. By transforming the model into a mixed-integer linear programming (MILP) problem, it can be easily solved using a commercial solver. The simulation results demonstrate the interaction between IESP and user agents through energy pricing, DR strategy, and energy management.
Article
Thermodynamics
Qian Jiang et al.
Summary: This paper proposes a bi-level model to address the game relationship between the Energy Server (ES) and the Energy Consumer (EC) in the Integrated Community Energy System (ICES). The proposed model includes revenue models and a joint optimal planning model, and utilizes the Karush-Kuhn-Tucker conditions to convert the problem into a single-level mathematical program. The results demonstrate the effectiveness of the proposed approach in reducing investment cost while ensuring the interests of the energy consumers.
Article
Energy & Fuels
Xiuwei Fu et al.
Summary: This article proposes a microgrid optimization operation strategy based on demand response and reward-penalty ladder-type carbon trading mechanism to address the problems of promoting new energy consumption, reducing carbon emissions, load fluctuations, and multi-agent conflict of interests in the networked microgrid system. The strategy includes an optimal scheduling model for microgrid operators and a demand response strategy on electricity price and low-carbon compensation incentives for users. The effectiveness of the proposed model and strategy is demonstrated through a case study.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Hui Hwang Goh et al.
Summary: This paper proposes a multi-stage methodology to optimize the energy management problem of microgrids considering the uncertainty of carbon trading market and demand side response. The scenario analysis method is used to tackle the uncertainty of renewable energy, and the characteristics of different load types are analyzed. The quantum particle swarm optimization algorithm is utilized to obtain the optimal solution. The results show that carbon trading market policy contributes to the reduction of carbon emissions and fossil fuel consumption, and a high load participation rate in demand side response can improve the operational economics of microgrids.
Article
Green & Sustainable Science & Technology
Xiangyu Li et al.
IET RENEWABLE POWER GENERATION
(2020)
Article
Automation & Control Systems
Nian Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2018)
Article
Economics
Ron D. Rappaport et al.
Article
Energy & Fuels
Jingkun Liu et al.
