The disordered energy use in traditional agricultural production has resulted in high energy purchase costs and carbon emissions. The coupling of integrated energy systems
In terms of power system source-grid-load-storage planning, reference [14] put forward a set of multi-aspect evaluation systems, including
Driven by the dual-carbon goal, the construction of renewable energy-dominated power systems is facing operational challenges brought by the high proportion of
Compared with flexible loads or energy storages participating in system regulation alone, coordinated optimization of flexible loads and multitype energy storages
The key features of the proposed energy management strategy are that the impact of energy storage system is fully considered, the state of charge (SOC) is controlled and monitored, and
2.4 Multiple demand response model ed into price-responsive and incentive-responsive loads. Price-responsive loads can shift their electricity consumption based on price signals, allowing
To better elucidate the function of each component within the EHGCIES, this paper extends the system''s modelling by dividing it into four distinct segments: the energy
This chapter studies the aggregation of large-scale distributed flexibility resources, and aggregates a large number of flexible loads into a small number of aggregation
To address the problem, an optimal scheduling strategy of mobile energy storage capable of variable-speed energy transmission is proposed. Firstly, by analyzing the hydrogen-...
Research on coupled optimization and regulation of source network load storage multi energy networks based on integrated neural networks [J]. Energy
The key features of the proposed energy management strategy are that the impact of energy storage system is fully considered, the state of charge (SOC) is controlled and monitored, and
This paper proposes a novel aggregation model for source-load-storage flexibility resources that employs hierarchical clustering to enhance multi-energy
In the second stage, the centralized scheduling scheme considers the source-load-storage cooperative scheduling at the feeder area. This approach maximizes the potential
Published in: 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Article #: Date of Conference: 08-10 November 2019 Date Added to IEEE Xplore: 09 April 2020
Furthermore, the multi-objective whale optimization algorithm is used to solve the bi-level optimization model. The results show that the shared
A two-stage low-carbon economic coordinated dispatching model for generation-load-storage resources considering flexible supply-demand balance
How to coordinate the schedulable resources (e.g. energy storage systems (ESSs), electric vehicles (EVs) and transferable loads (TLs)) among all levels to improve the
The high proportion of grid-connected intermittent energy such as wind power and photovoltaic makes the demand for power system flexibility increase sharply. In order to
The integration of 5G base station (5G BS) clusters and edge data services introduces novel digital loads (NDLs) into the distribution system (DS), significantly impacting
The large-scale integration of renewable energy into the grid will have an adverse effect on the safe operation of the entire power system. The use of energy storage
The paper establishes an optimization scheduling model for mobile energy storage, hydrogen storage, and virtual energy storage of air conditioning clusters, considering the physical and
The dual-side uncertainty of source-load is expressed by interval numbers, and the refined demand response mechanism and shared energy storage optimization model for
Energy Storage Capacity Optimization Model Considering Transferable Load Characteristics of Rural Distribution Network Published in: 2025 4th International Conference on New Energy
Published in: 2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Article #: Date of Conference: 28-30 September 2022 Date Added to IEEE Xplore: 21
To effectively account for the impact of fluctuations in the power generation efficiency of renewable energy sources such as photovoltaics (PVs) and wind turbines (WTs),
To effectively account for the impact of fluctuations in the power generation efficiency of renewable energy sources such as photovoltaics (PVs)
The multitype storage coordination mode, including battery storage, pumped storage, and electric vehicles, was formulated, and a collaborative optimal scheduling system
A multi-time scale source-load-energy storage coordination dispatch model is established that combines the advantages of transferable load optimization load curve and the flexible power
The flexible characteristics of energy stor-age resources and coordination modes of multiple interests are complex. Therefore, under the condition of ensuring the safe and stable operation
With the continuous development of power grids in the direction of intelligence and cleanliness, the increase of flexible resources such as distributed power sources, controllable loads and
The impacts of transferable and reducible loads on customer satisfaction and the load tracking capability of DG have been considered in Ref. Hailiang et al. (2020). A planning
In order to deal with the above problems, this paper constructs a micro-grid system of integrating the wind power generation, the photovoltaic
The power constraints for its transfer are (15) β t P min t r a n s ≤ P t t r a n s ≤ β t P max t r a n s where P min t r a n s and P max t r a n s can transfer the minimum and maximum values of load power, P t t r a n s is the load power after participating in regulation.
Flexible load technology challenges the conventional “source-follows-load” paradigm in power system operations. It mitigates intermittent energy fluctuations by flattening peaks and filling valleys , curbing demand, and enabling the conversion and storage of diverse energy sources.
Introduction of flexible electric and thermal loads to participate in dispatch. In light of the high penetration of renewable energy sources into the grid and the associated power curtailment phenomenon, this paper proposes a multi-energy conversion scheduling strategy for an electric-heat-gas-cooling integrated energy system.
To evaluate the feasibility of system operations after integrating concentrating solar power plants and flexible loads into the EHGCIES scheduling framework, this study disregards weather-related uncertainty factors. The optimal scheduling analysis is conducted using Matlab, generating optimization results for four scenarios.
Finally, a mixed-integer programming algorithm is employed to solve the optimization problem. Simulation results demonstrate that incorporating the flexible load scheduling strategy reduces daily operational costs by 2.82 %, power curtailment losses by 22.07 %, and decreases the peak-to-valley difference of electric loads by 14.68 %.
A comparison of Fig. 4, Fig. 13 reveals that, for flexible electrical loads, shiftable load 1 is shifted from 12:00–13:00 to 10:00–11:00, and shiftable load 2 is shifted from 18:00–20:00 to 02:00–04:00. Both load 1 and load 2 are shifted from peak load period to relatively off-peak period.
