The model optimizes the geographical distribution and capacity configuration of the Northeast China energy system in 2050, with hourly operational characteristics. The planning optimization covered single-energy devices, multi-energy-coupled conversion devices, and electric-hydrogen transmission networks.
DOI: 10.1016/j.est.2024.111107 Corpus ID: 268301551 Bi-level configuration and operation collaborative optimization of shared hydrogen energy storage system for a wind farm cluster Energy management of a virtual power plant (VPP) that consists of wind farm
Model energy hub considering controllable energy distribution coefficients and non-linear factors. • Propose a collaborative optimization model for multiple distributed energy stations. • Obtain Pareto optimization frontiers
A typical integrated energy architecture including electricity and heat CES is constructed as shown in Fig. 1.The overall external energy supply is provided by both electric and heat networks, while the users are involved in multiple types of electric and heat loads. As
The integrated energy station is aiming to self-production and self-sales of renewable energy on the premise of meeting the local demand for electricity, heat and cooling through the full utilization of wind and solar output. As shown in Fig. 1, an integrated energy station consists primarily of photovoltaic (PV), wind turbine (WT), gas boiler (GB),
The innovations of this paper are summarized as follows: (1) A RES combining electricity storage, hydrogen storage, and heat storage is proposed, and
2.2 Electric energy market revenue New energy power generation, including wind and PV power, relies on forecasting technology for its day-ahead power generation plans, which introduces a significant level of uncertainty. This poses challenges to the power system.
5. Conclusion Hydrogen energy storage system, which can realize the electricity–hydrogen–electricity conversion, has emerged to become an alternative solution to handling system uncertainties and increasing energy utilization efficiency. In this paper, a hybrid
Energies 2018, 11, 3052 5 of 17, =h,,,,∆ ( 6) where m is the number of CCHP co-supply systems.,, is the unit price of power purchase at time for the region . h is the ratio of electricity consumption to transferred thermal quantity, which means the amount of
A multi-objective optimization model was presented in [9], which avails a promoted collaborative scheme to determine the optimal operation of multiple energy stations in the form of the IEHs
inflate the GES or to convert electricity and heat by CHP, or to convert heat through GB. 5) Heat trading: purchased from the market according to demand. Either use CHP to convert natural gas into heat energy, or through EB to convert electricity into heat 2.4
Here, a coordinated planning method for IEHGES considering renewable energy consumption is proposed. Firstly, electricity/gas/heat storage, electric boiler and power to gas are co-configured to realize heat-electricity decoupling operation of combined heat and
Latent heat storage (LHS) leverages phase changes in materials like paraffins and salts for energy storage, used in heating, cooling, and power generation. It relies on the absorption and release of heat during phase change, the efficiency of which is determined by factors like storage material and temperature [ 102 ].
In this paper, a comparative analysis was performed on two energy storage solutions: small-scale underground pumped hydro storage (PHS) and high-temperature thermal energy storage (HTTES). Using the PLEXOS energy and power system modeling software, the study analyzed the operation and performance of these
energy storage, effectively reducing the cost of the IES by approximately 72.40% in 2050, with approximately 98.32% of the cost reduction coming from energy storage. Guangsheng Pan et al. [21] proposed a planning model for an electricity-hydrogen-coupled
Through the electricity and heat interchanges, the power generation and heat production, energy storage and release, and electricity purchase and heat
A RIES model including renewable wind power, power distribution network, district heating network, multi-energy storage system, and heat pump to convert electricity to heat is constructed. An optimization method combining a mixed-integer nonlinear programming optimization model is proposed to minimize the comprehensive
The study constructs a low-carbon planning model for an integrated energy system that includes CHP, wind turbines, heat pumps, power storage, and heat storage
In recent years, following the context of the energy transition, energy storage systems (ESS) are gaining increasing attention in smart energy systems all over the globe [2]. To enjoy more
Specifically, the energy storage power is 11.18 kW, the energy storage capacity is 13.01 kWh, the installed photovoltaic power is 2789.3 kW, the annual photovoltaic power generation hours are 2552.3 h, and the daily electricity purchase cost of the PV-storage
DOI: 10.1016/j.energy.2023.127311 Corpus ID: 257753591 Collaborative optimization scheduling of integrated energy system considering user dissatisfaction @article{Ma2023CollaborativeOS, title={Collaborative optimization scheduling of integrated energy system considering user dissatisfaction}, author={Kai Ma and Rencai
With the urgent demand for energy revolution and consumption under China''s "30–60" dual carbon target, a configuration-scheduling dual-layer optimization mod where P el,i,a (t) denotes the electrical load in the period t and P fel,i,a (t), P tel,i,a (t), and P tiel,i,a (t) denote the fixed electrical load, transferable non-interruptible
A conventional DES configuration is presented in Fig. 1 [31].A conventional DES is based on ICE to provide the loads for the users. The logical control of the DES is shown in Fig. 2 om Fig. 2 a–c, it can be seen that in terms of the user heat load supply control, the solar collector and waste heat recovery equipment (WHR) are used to
Equipment Electric energy storage Heat energy storage Configuration capacity (kWh) 1,500 1,500 Efficiency (charge/discharge) 0.9 0.9 Self-loss coefficient
To address regional blackouts in distribution networks caused by extreme accidents, a collaborative optimization configuration method with both a Mobile Energy
The configuration of power storage, gas storage and heat storage devices under the two schemes is shown in Table IV. The results show that compared with Scheme 1, the amount of all kinds of energy storage equipment in Scheme 2 decreases.
where C I H E is the benefit of the P2G subject in the independent energy supply mode, f H E (t) is the fuel cell power output at time t, P H E is the price of electricity sold, f H H E (t) is the heat output of the unit at time t, P H H E is the heat price of the unit sold to the heat company, P M R is the price of natural gas sold, f M R (t) is the output of
Storage of electricity Heat accumulation Gas storage Initial capacity (kW) 30 0 0 Rated capacity (kW) 120 80 80 Maximum charge and discharge power (kW) 37.5 25 25 Unit investment cost (RMB/kWh)
Aiming at the energy consumption and economic operation of the integrated energy system (IES), this paper proposes an IES operation strategy that combines the adiabatic compressed air energy storage (A-CAES) device and the integrated demand response (IDR) theory with the two-layer optimization model, and
Beyond heat storage pertinent to human survival against harsh freeze, controllable energy storage for both heat and cold is necessary. A recent paper demonstrates related breakthroughs including (1) phase change based on ionocaloric effect, (2) photoswitchable phase change, and (3) heat pump enabled hot/cold thermal storage.
The integrated energy system effectively improves the comprehensive utilization of energy through cascade utilization and coordinated scheduling of various types of energy. Based on the independent integrated energy system, the thermal network interaction between different load characteristic regions is introduced, requiring a minimum thermal grid construction
Multi-energy Microgrid Group Planning Hierarchical Collaborative Optimization Configuration. February 2022. DOI: 10.1109/ICoPESA54515.2022.9754434. Conference: 2022 International Conference on
In this paper, a method for rationally allocating energy storage capacity in a high-permeability distribution network is proposed. By constructing a bi-level programming model, the optimal capacity of energy storage connected to the distribution network is allocated by considering the operating cost, load fluctuation, and battery charging and
The influence of hybrid energy storage on distributed energy systems was fully considered. Subsequently, a two-layer collaborative optimization method for the
It is vital to optimize the standalone multi-energy hub capacity configuration to enhance the hub reliability, economic efficiency, and sustainability.
They integrate ice storage and heat storage with DES to form DES with two energy storage (Kuang et al., 2019). They combine electric vehicles (EVs), lithium batteries (Li-ion) with DES to develop new DES ( Kandil et al., 2018 ).
Abstract In this study, an energy storage configuration optimization model of multi regional integrated energy system based on integrated scheduling and stepped Carbon emission trading is proposed. By analyzing the