Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

Zhang, Shenxi; Cheng, Haozhong; Fang, Sidun

doi:10.1049/iet-stg.2019.0065

Cited by 12 publications

(3 citation statements)

References 32 publications

(56 reference statements)

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“…Many studies address the benefits and challenges of using CHP in microgrids. Various strategies and optimisation methods have been utilised to investigate the economic and environmental effects of CHP [21,22].…”

Section: Literature Surveymentioning

confidence: 99%

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Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market

et al. 2021

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An integrated view of energy markets has led to the introduction of new market participants named energy retailers (ERs). Competition among ERs in an integrated market greatly improves market performance in areas such as sustainability, supply security, and environmental awareness. ER performance is evaluated in an integrated market with emission penalty reduction in the objective function. Bi-level programming is used to model an ER game, and the equilibria of different configurations are compared. In the game's first level, ERs offer various energy carrier selling prices to optimise profits. In the second level, consumers respond by switching from the retail market to minimise their energy bills. This complex problem is simplified utilising a discretisation method based on Nash theory. The configuration scenarios include different structures, components, and ER-user transactions. The effectiveness of the proposed configuration scenarios is validated by their implementation in an illustrative case study. Energy retailers purchase energy from various sources including bilateral contracts with energy suppliers, wholesale market participation, and self-generation. Electricity retailers explicitly represent the difficulties of energy procurement and bidding strategies. Simulation results for the proposed energy system model indicate better performance than that of the base case and a noticeable increment in retailer profit. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Literature Surveymentioning

confidence: 99%

“…where P wh g ðk; tÞ is the natural gas bought by consumers in the wholesale market. Based on the determined decision vector (20), the user's objective function is reformulated in (21):…”

Section: User Modellingmentioning

confidence: 99%

Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market

et al. 2021

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“…In ref. [18], the temperature changes of the water and penalty coefficient were used to describe the constructed user thermal satisfaction. In ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of Community Integrated Energy System Considering Comprehensive User Satisfaction Method

Liu

Yang

Sun

et al. 2022

IEEJ Transactions Elec Engng

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In this article, a community integrated energy system (CIES) coupled with electricity, gas and heat is investigated, which integrates with renewable energies such as photovoltaic and wind turbine. The main goal is to seek an optimal scheduling scheme, including reducing the operating costs and fully exploiting the demand response potential. Firstly, given the structure of CIES, the system equipment and loads are modeled and analyzed. Moreover, considering the user controllable degree, a comprehensive user satisfaction method is established based on the combination of subjective weight and objective weight method. This paper concerns the user controllable degree in the process of flexible load optimization so that some amounts of loads are transferred from peak periods to off-peak periods to flatten the load curve. Three cases studies in the article show the influence of user controllable degree and satisfaction on CIES. Finally, the system model is solved using CPLEX solver in MATLAB optimization software. The results show that the operating costs and environmental costs are reduced by 9.31% and 3.24% due to the presence of user controllable degree and satisfaction.

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Optimized dispatching of city-scale integrated energy system considering the flexibilities of city gas gate station and line packing

Zhuang

Zhou

et al. 2021

Applied Energy

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Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

Cited by 12 publications

References 32 publications

Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market

Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market

Optimal Dispatch of Community Integrated Energy System Considering Comprehensive User Satisfaction Method

Optimized dispatching of city-scale integrated energy system considering the flexibilities of city gas gate station and line packing

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