Frequency Fuzzy Control Strategy for Coordinated Wind-Storage System Considering Energy Storage Capacity Optimization

For high-proportional wind power access to power grids, how to coordinate the energy storage switching strategies with other various power generation energy sources is the key to the effective utilization of energy storage and the improvement of wind power consumption. This paper proposed a safety barrier that power grid established through energy storage for eliminating wind power, studied evaluation and identification methods of energy storage input, and established the model of energy storage operation and the relationship between energy storage capacity and wind power consumption demand energy storage capacity and clean energy consumption demand. It also constructed a method for analyzing the correlation between electric heating thermal storage load and abandonment wind during heating period, and explored the qualitative relationship between abandoned wind power, abandoned wind hours and abandoned wind power. However, the energy storage capacity is configured according to the maximum abandonment power, and the energy storage efficiency is not high, and the wind power that is consumed by the electric heating thermal storage load is the abandoned wind power during the heating period.

Western China has good conditions for constructing large-scale photovoltaic (PV) power stations; however, such power plants with large fluctuations and strong randomness suffer from the long-distance power transmission problem, which needs to be solved. For large-scale PV power stations that do not have the conditions for simultaneous hydropower and PV power, this study examined long-distance delivery mode and energy storage optimization. The objective was to realize the long-distance transmission of electrical energy and maximize the economic value of the energy storage and PV power storage. For a large-scale PV power station, the energy storage optimization was modelled under a given long-distance delivery mode, and the economic evaluation system quantified using the net present value (NPV) of the battery was based on the energy dispatch optimization model. By contrast, a lithium battery performance model was developed. Therefore, further analysis of the economics of the energy storage and obtaining the best capacity of the energy storage battery and corresponding replacement cycle considered battery degradation. The case study of Qinghai Gonghe 100 MWp demonstration base PV power station showed that the optimal energy storage capacity was 5 MWh, and the optimal replacement period was 2 years. Therefore, the annual abandoned electricity was reduced by 3.051 × 10 4 MWh compared with no energy storage. The utilization rate of both the PV power station and quality of the delivered electricity were modelled to realize a long-distance transmission to the grid net. This will have an important guiding significance to develop and construct large-scale single PV power stations.

An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning

Optimal allocation of energy storage capacity for hydro-wind-solar multi-energy renewable energy system with nested multiple time scales

Recent years have seen a sharp rise in the installed capacity of wind, photovoltaic and other renewable energy sources, leading to significant output fluctuations that pose unprecedented challenges to power system peak shaving and frequency regulation. This paper focuses on shared energy storage planning for new energy clusters. First, a new energy cluster output sequence model based on dynamic spatio-temporal correlation is constructed to simulate the random fluctuations of wind-solar power generation. Then, a co-construction and sharing operation mechanism for cluster energy storage is proposed: efficient resource utilization is achieved through inter-station coordination and centralized energy storage management, while the interest balance and cooperation enthusiasm of all parties are guaranteed via capacity weight allocation and Nash bargaining-based revenue distribution. With the goal of minimizing investment and operation costs, relevant constraints such as energy storage configuration and power balance are formulated to ensure model rationality. Results show that compared with single-station independent energy storage and traditional planning without considering correlations, the proposed strategy reduces the cluster’s total cost while lowering the average daily comprehensive cost and maintaining each station’s revenue. It provides theoretical and practical support for efficient planning and optimal operation of new energy cluster energy storage.

In today’s power system landscape, renewable energy (RE) resources play a pivotal role, particularly within the residential sector. Despite the significance of these resources, the intermittent nature of RE resources, influenced by variable weather conditions, poses challenges to their reliability as energy resources. Addressing this challenge, the integration of an energy storage system (ESS) emerges as a viable solution, enabling the storage of surplus energy during peak-generation periods and subsequent release during shortages. One of the great challenges of ESSs is how to design ESSs efficiently. This paper focuses on a distributed power-flow system within a smart home environment, comprising uncontrollable power generators, uncontrollable loads, and multiple energy storage units. To address the challenge of minimizing energy loss in ESSs, this paper proposes a novel approach, called energy-efficient storage capacity with loss reduction (SCALE) scheme, that combines multiple-load power-flow assignment with a load-shifting algorithm to minimize energy loss and determine the optimal energy storage capacity. The optimization problem for optimal energy storage capacity is formalized using linear programming techniques. To validate the proposed scheme, real experimental data from a smart home environment during winter and summer seasons are employed. The results demonstrate the efficacy of the proposed algorithm in significantly reducing energy loss, particularly under winter conditions, and determining optimal energy storage capacity, with reductions of up to 11.4% in energy loss and up to 62.1% in optimal energy storage capacity.

Hydrogen energy, as a medium for long-term energy storage, needs to ensure the continuous and stable operation of the electrolyzer during the production of green hydrogen using wind energy. In this paper, based on the overall model of a wind power hydrogen production system, an integrated control strategy aimed at improving the quality of wind power generation, smoothing the hydrogen production process, and enhancing the stability of the system is proposed. The strategy combines key measures, such as the maximum power point tracking control of the wind turbine and the adaptive coordinated control of the electrochemical energy storage system, which can not only efficiently utilize the wind resources but also effectively ensure the stability of the bus voltage and the smoothness of the hydrogen production process. The simulation results show that the electrolyzer can operate at full power to produce hydrogen while the energy storage device is charging when wind energy is sufficient; the electrolyzer continuously produces hydrogen according to the wind energy when the wind speed is normal; and the energy storage device will take on the task of maintaining the operation of the electrolyzer when the wind speed is insufficient to ensure the stability and reliability of the system.

Improving the utilization factor of a PEM electrolyzer powered by a 15 MW PV park by combining wind power and battery storage – Feasibility study

Research on the collaborative operation strategy of shared energy storage and virtual power plant based on double layer optimization

Power grid is developing towards the direction of intelligence. Nevertheless, the giant grid scale, complicated structure and external natural factors result in the potential of large-scaled power failure. Traditional black start power gives priority to hydropower. In areas with shortage of hydro power resources, suitable black start power is insufficient. The key of black start is able to realize the safe and stable operation of wind power and energy storage cogeneration system. Due to the combination of wind turbines and energy storage is a small system, energy storage, as a black start power source, starts the wind turbines together to supply power for the remote load. Therefore, it is necessary to run the balance and stable operation of a small system. In this paper, PSCAD simulation software is employed to conduct modeling of wind power and energy storage system, and the self-starting process of wind storage cogeneration system is analyzed by using resistance sensor as the load. The result verifies the wind power storage system's initiation process.

Offshore oil and gas platforms can accelerate their shift towards lower greenhouse gases emissions by combining wind power generation and energy storage systems. However, the variability of the wind resources and power demand, and the limited storage capacity make the design of the system particularly challenging. We present a modelica library at its early stage of the development and yet with promising results. The model will be used to simulate the dynamic of the whole system for a long period of time using simplified power components and balanced micro grid. This paper shares some preliminary results by applying the model on a data set of wind resources and power demand from the North Sea. The results are the power system dynamics and an approximation of the mass of greenhouse gas emissions. On the long term the model will be applied to determine the right control and optimization strategy to control the energy system towards lower greenhouse gas emissions without compromising the balance between the power supply and demand.

Renewable distributed power sources such as wind power and photovoltaic power generation are connected to the power grid, which will bring problems such as increased network loss and reduced power quality. In this paper, a two-layer optimization model for energy storage systems is proposed under large-scale new energy access, and the coupling effects of energy storage planning and operation are considered comprehensively. In the upper layer model, energy storage planning is considered, with the location and capacity of energy storage configuration being the decision variables and the planning cost of the energy storage system being the objective function. The lower layer considers the economy and stability of the grid when the energy storage system is operating, with the output of the energy storage system at each moment as the decision variable and the grid vulnerability, active network loss, and power purchase cost as the objective function. The improved IEEE33 node system has been selected for simulation verification. The results show that the proposed model calculates the optimal capacity configurations of wind power combined energy storage as 0.919 and 0.820 MWh, respectively, and the model can obtain a reasonable energy storage configuration scheme and, in comparing the economic indicators under different scenarios, can obtain the dual storage configuration as the best scheme for the simulation system.

This paper analyzed internal environmental impact of energy storage device facilities connected to the photovoltaic power generation system. The use of energy storage system is increasing for demanding in new renewable energy (photovoltaic power, wind power, etc.) and adjusting frequency regulation(FR) in system operation.BRSince fires are concentrated in energy storage systems for connection with renewable energy, it is necessary to find the cause of the fire through analysis of the on-site installation environment and operation. This paper analyzes the internal environmental characteristics of energy storage systems connected to photovoltaic power generation and proposes a safety plan.

In view of the frequency fluctuation of the micro-grid system containing wind power, hybrid energy storage system composed of batteries and supercapacitors is adopted to coordinate the output, so as to maintain the frequency stability of the micro-grid and provide the possibility for the micro-grid to further absorb wind power and other clean energy. Firstly, by analyzing the characteristics of wind power output, the power deviation signal of the system is decomposed into low-frequency and high-frequency parts through wavelet packet decomposition, so as to maximize the consumption of wind power output power on the premise of meeting the stability of the system. Then, the high frequency part of the power gap is further divided to determine the initial FM power distribution scheme of the energy storage system. Finally, the energy storage output is modified by the Logistic regression function to take into account both the energy storage adaptive frequency modulation and the energy storage charged state self-recovery. Example analysis shows that the proposed control strategy can realize the optimal distribution of wind power, ensure the full utilization of wind farm output, improve wind power grid connection capacity, and increase efficiency and economy.

This study aims to analyze an optimal energy storage capacity (ESC) according to the different settings of solar and wind power facilities in Korea's power supply environments. We investigated with a unit commitment and economic dispatch system by changing the capacity of energy storage from 2.5 GWh to 1,000 GWh when installing solar and wind power plants increasingly. We assume that demand is uncertain, leading to a power shortage at the economic dispatch stage. We also take that the electricity cannot be purchased from an external network, and then a specific penalty cost is levied in the event of a power shortage. With solar and wind power facilities less than 137.9GW and 75.3GW, respectively, the result shows that an increase in ESC leads to increasing CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions, where the power generation from coal with low operating costs increases by replacing the power generation from LNG with high operating costs. However, more solar and wind power installation results in decreasing CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions. As ESC increases, the penalty incurred by not meeting the demand is reduced in all cases. However, it also can be confirmed that the facility cost increases.