Optimal Operation of Regional Integrated Energy System Considering Integrated Demand Response and Exergy Efficiency

Wang, Jing; Xing, Haijun; Wang, Huaxin; Xie, Baojiang; Luo, Yangfan

doi:10.1007/s42835-022-01067-6

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…(3) Tiered Carbon Emission Penalty Cost α α α where w represents the w-th type of equipment in the active building; w P represents the operating power of the equipment, in kW; w c represents the operation and maintenance cost of the equipment, in CNY/kW [27].…”

Section: Economic Costmentioning

confidence: 99%

Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy

Wang,

Gao,

Pan

et al. 2024

Energies

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Under the dual-carbon target, the popularization and application of building integrated photovoltaic (BIPV) and ground source heat pump systems have made active buildings a research hotspot in the field of architecture and energy. Aiming at this issue, based on the building energy consumption model of active buildings, an active building energy management system (EMS) control strategy based on multi-energy load collaborative optimization is proposed. Firstly, based on the thermal dynamic characteristics and building performance parameters of active buildings, the overall refined energy consumption model of active buildings is constructed. Secondly, based on the construction of BIPV, the ice storage air conditioning system, the ground source heat pump system, and the integrated demand response (IDR) model, a tiered carbon transaction cost model is introduced, and an energy management strategy that leverages the synergistic application of renewable and active technologies is proposed. This strategy aims to meet the comprehensive needs of active buildings in terms of economic benefits, comfort, and environmental protection. Finally, the strategy’s effectiveness is demonstrated through a practical example.

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Section: Economic Costmentioning

confidence: 99%

Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy

Wang,

Gao,

Pan

et al. 2024

Energies

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“…Under the incentive of electricity price, the power load DR modeling can be shown as [25]: TL,m represent the variation of cold, thermal, electricity, and gas loads under demand response.…”

Section: Shiftable Loadmentioning

confidence: 99%

“…Electric vehicles can participate in charging scheduling when they are parked; thus, their parking time directly determines the length of charging time. At present, the charging mode of electric vehicles can be approximated as constant power charging [25]. According to the data obtained from the research survey of relevant departments in the US Department of Transport, the user's last returnable time tτ on the day obeys the normal distribution and can be described as [30]:…”

Section: Electric Vehiclesmentioning

confidence: 99%

Research on Optimal Operation of Regional Integrated Energy Systems in View of Demand Response and Improved Carbon Trading

Liu

2023

Applied Sciences

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In order to solve the difficulties of dispatching the regional integrated energy system (RIES) under the operating conditions of multi-energy complementary mechanisms, as well as to achieve the purpose of economic operation and low carbon operation of the system, an optimal dispatching model of RIES, including demand response (DR) and an improved carbon trading mechanism (ICTM), is proposed. Firstly, a demand response model is established, the cooling, thermal, electricity, and gas load models under demand response are built, and then an improved customer satisfaction model is proposed based on the four demand response load models. In addition, since EV trips fit a normal distribution, the charging load of EVs is predicted using a Monte Carlo method and incorporated into RIES as a demand-side load; moreover, for EVs, an improved genetic algorithm is used to optimize EV charging, aiming to reduce the peak-to-valley difference; secondly, carbon emission quotas are provided for systems and EVs based on the baseline method and gratuitous allocation, and a carbon trading model is constructed based on carbon quotas and actual A carbon trading model for the system and EV is constructed based on the carbon allowances and actual carbon emissions; finally, four operation scenarios are set up in this paper, and the unit output scheme is developed with the objective of achieving the lowest total system operation cost and lowest carbon emissions. The four typical scenarios are solved using the MATLAB/CPLEX solver and compared for analysis. The simulation results show that an improved genetic algorithm for optimizing the ordered charging method of electric vehicle charging reduces the peak valley difference by 23.06%, and the total operation cost and carbon transaction cost are reduced by 16.13% and 83.10%, respectively, which can provide a reference for the environmental protection and economic dispatch of RIES.

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“…The objectives of economic benefits and comprehensive energy efficiency are often conflicting in IES [19,20], and balancing economic benefits and comprehensive energy efficiency deserves further investigation. This paper focuses on optimizing scheduling in IES with the objectives of minimizing operating costs and maximizing comprehensive energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Distributionally Robust Optimal Scheduling of Park-Level Integrated Energy System

Chenjian,

Botao,

Shilin

et al. 2023

Preprint

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In order to reduce operational costs and improve energy utilization efficiency of the park-level integrated energy system (IES), a multi-objective distributionally robust scheduling optimization approach is proposed. The objective functions aim to minimize operating costs and maximize comprehensive energy efficiency. To address uncertainties related to wind and photovoltaic power generation, the Wasserstein metric-based distributionally robust optimization method is employed. The strong duality theory and reformulation-linearization technique are utilized to linearize the non-convex model of distributionally robust optimization. To obtain the Pareto frontier set effectively, the NNC (normalized normal constraint) method is employed to transform the multi-objective optimization problem into a single-objective optimization problem. The compromise solution within the Pareto solution set is then determined using the fuzzy membership function. The case study analysis demonstrates that the obtained Pareto frontier set is well-distributed, and compared with robust optimization and stochastic optimization approaches, the proposed approach can effectively balance optimism and conservativeness.

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Optimal Operation of Regional Integrated Energy System Considering Integrated Demand Response and Exergy Efficiency

Cited by 4 publications

References 18 publications

Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy

Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy

Research on Optimal Operation of Regional Integrated Energy Systems in View of Demand Response and Improved Carbon Trading

Multi-Objective Distributionally Robust Optimal Scheduling of Park-Level Integrated Energy System

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