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Energy & Fuels
Yang Li et al.
Summary: This study proposes a hierarchical stochastic optimal scheduling method for multi-community integrated energy systems, which handles multiple uncertainties by generating renewable scenarios and typical scenarios, and constructs a Stackelberg-based hierarchical stochastic schedule.
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Energy & Fuels
Min Wu et al.
Summary: The promotion of park integrated energy system (PIES) has enhanced the integration of electric, gas, heating, and cooling systems but faced challenges with lower system economics and reliability. A two-stage robust optimization model based on dynamic programming strategy (DPS) is proposed to improve economic efficiency and address uncertainties in the planning strategy. The effectiveness of the method is validated through comprehensive case studies.
Article
Thermodynamics
Guangming Zhang et al.
Summary: Energy efficiency and greenhouse gas emissions mitigation are important topics in modern energy systems research. This study integrated power-to-gas, carbon capture, and supercritical CO2 cycle systems into a carbon cycle system to explore its role in an electricity-heat integrated energy system. The optimization results showed a reduction in wind power and photovoltaics' curtailment rates, as well as a significant decrease in carbon emissions, leading to increased energy and exergy efficiencies in the system.
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Energy & Fuels
Valery Stennikov et al.
Summary: The creation of intelligent integrated energy systems is a promising alternative to traditional energy systems, but faces challenges in balancing centralized and distributed energy generation. The multi-agent approach is used to model and optimize the interaction between the two.
Article
Thermodynamics
Yujing Huang et al.
Summary: This paper proposes a two-stage energy management method for heat-electricity integrated energy systems, considering dynamic pricing and operation strategy optimization. The method improves energy efficiency and operation economy by establishing energy efficiency evaluation criteria and energy management models.
Article
Thermodynamics
Yujing Huang et al.
Summary: This paper focuses on the low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems (IES) from the perspective of System of Systems. It proposes a new model of carbon quota allocation and trading, and a low-carbon economic dispatch and energy sharing framework based on efficient utilization of regional carbon quota. It also presents a Stackelberg game-based optimization model for energy service provider (ESP) and IES groups, and analyzes the existence and uniqueness of the Stackelberg equilibrium. The proposed method is shown to increase profit and promote optimal utilization of energy resources and carbon emission quota among energy systems.
Article
Automation & Control Systems
Nian Liu et al.
Summary: This article investigates the integration of energy hubs and prosumers in heat-electric integrated energy systems. By combining contract theory and consensus algorithms, a closed-loop framework is designed to address energy sharing schemes in the lower level system and energy sharing framework in the upper level system. Simulation results demonstrate the effectiveness and feasibility of the proposed framework.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Man Niu et al.
Summary: This study establishes a unified market framework for multi-energy systems, and analyzes the interrelation between natural gas and electricity prices. A new market-clearing model is proposed, which demonstrates the quantitative relations between the two and how it can improve social welfare and market dispatch efficiency.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Zhuoya Siqin et al.
Summary: Community energy consumption accounts for a large proportion of total social energy consumption. This study proposes a joint dispatching model for multiple community integrated energy systems, considering energy sharing and joint demand response. By using Kullback-Leibler (KL) divergence, the uncertainty set of photovoltaic output is described, and the minimum operation cost for multi-community is solved. A profit allocation mechanism is also proposed to ensure successful collaboration among communities.
Article
Energy & Fuels
Jiahui Huang et al.
Summary: This paper proposes a method for calculating and analyzing carbon emissions in an integrated energy system (IES) by combining energy flow with carbon emission flow. The decoupling method is used to improve computing efficiency and determine the distribution of carbon emissions in the IES.
Article
Energy & Fuels
Meng Wang et al.
Summary: This study proposes a co-optimization model that simultaneously optimizes the supply and demand sides of an Integrated Energy System (IES), achieving higher energy efficiency and promoting a climate-neutral economy. By introducing a carbon tax, the study enhances the understanding of interactions between energy supply and demand, leading to a sustainable system with minimal carbon cost.
Article
Energy & Fuels
Lavinia Marina Paola Ghilardi et al.
Summary: The study focuses on optimizing thermal comfort management for buildings with a Multi Energy System by utilizing the heat capacity of buildings and increasing the operational flexibility of generators. Testing results demonstrate that small temperature fluctuations around the indoor temperature setpoint and optimizing water delivery temperature can reduce operating costs, while the load shift capability of buildings plays a significant role when thermal demand mismatches energy supply.
Article
Thermodynamics
Yiming Ma et al.
Summary: By proposing a novel model and optimal dispatch for CHP with P2G and CCS, the accommodation capacity of renewable energy can be enhanced while reducing carbon emissions and operating costs of the integrated energy system.
Article
Engineering, Electrical & Electronic
Zhao Yang et al.
Summary: This study develops an energy sharing strategy supported by the TE mechanism to coordinate interconnected MECMs, using the ADMM algorithm for distributed optimization and economic interpretation of the shared energy scheme. The effectiveness of the method is demonstrated through case studies considering IDR, with easy implementation and convergence while respecting MECMs' individual benefits and private information.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Thermodynamics
Yiming Li et al.
Summary: This study proposes a partition optimization design method that combines K-means and genetic algorithm, which establishes partitions for different buildings' loads using a multi-energy unified clustering, selects suitable energy supply equipment to form alternative structure sets, optimizes the configuration using GA, and obtains an optimal system configuration suitable for each building partition by sorting system evaluation indicators.
Article
Automation & Control Systems
Liudong Chen et al.
Summary: This interdisciplinary P2P energy sharing framework proposed in this article considers both technical and sociological aspects, based on prospect theory and stochastic game theory. Under this framework, producers and consumers participate with different roles and strategies, addressing problems arising from social attributes.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Mingyu Yan et al.
Summary: This article introduces a two-level network-constrained peer-to-peer (P2P) transactive energy model for multi-microgrids, utilizing a MLMF Stackelberg game approach and distributed algorithms to ensure the effectiveness of the proposed solution. The DSO reconfigures the distribution network based on energy trading results and requests adjustments for network security, formulated in a MISOCP model for solution accuracy. Numerical results on various test systems demonstrate the effectiveness of the proposed transactive model and its solution technique.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Haiyang Wang et al.
Summary: A distributed coordinative transaction mechanism of a community integrated energy system is proposed using a tri-level game model, which is solved by a distributed algorithm. The effectiveness of the mechanism is verified through a case study, showing that all stakeholders can benefit.
Article
Automation & Control Systems
Hasan Mehrjerdi et al.
Summary: This article proposes a unified solution to address the energy issues in net-zero energy building by integrating various energy sources to meet all electricity and heat load demands and minimize carbon dioxide emissions into the atmosphere.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Chao Yan et al.
Summary: This paper focuses on building a capacity reliability model of an integrated energy system (IES) by analyzing the multi-energy correlation and dependent capacity outage states. It introduces a novel analytical method involving a multi-dimensional matrix approach and a customized discrete convolution algorithm to accurately and efficiently assess the reliability of an IES. Case studies demonstrate the correctness and efficiency of the proposed method in quantifying the capacity value of multi-energy conversion facilities.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
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IEEE TRANSACTIONS ON SMART GRID
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JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2018)
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Daniel J. Olsen et al.
IEEE TRANSACTIONS ON POWER SYSTEMS
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Yongli Wang et al.
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CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
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Mark Miller et al.
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IEEE TRANSACTIONS ON SMART GRID
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