- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Photovoltaic Synchronous Generator (PVSG): Architecture and Control Strategy for A Grid-Forming PV Energy System
摘要： Transforming conventional PV energy system from a grid following one to a grid forming is necessary when PV power generation is dominating the generation mix and replacing traditional synchronous generators. Grid forming PV energy system can provide frequency support functionality which is vital for the stability of the power grid. This paper presents a novel AC coupled solution that transforms an existing grid following PV system to a grid forming one without any hardware and software modification of the PV inverter. The resulting system, the Photovoltaic Synchronous Generator (PVSG), is achieved by an AC coupled supercapacitor-based energy storage system (ESS). The novel control of the PVSG is implemented in the ESS side. The novel control scheme includes a fast and slow instantaneous power controls. The fast-instantaneous power flow control is fulfilled by the DC-link voltage control and AC voltage control. The cascaded voltage source controls enable the fast-instantaneous power balance, while a slow instantaneous power control is used to implement the inertia and grid synchronization. Two important fundamental functions are realized in the PVSG. The first one is the frequency inertia to resist the grid frequency variation where the df/dt-based power control is achieved; the second one is the inertia against the PV intermittent power. The correctness and effectiveness of the proposed PVSG is validated experimentally in a 480V PVSG prototype with TMS320F28379D DSP controller.
关键词： current controlled,power control,PVSG,virtual synchronous generator (VSG),Inertia,voltage controlled,grid-forming inverter,supercapacitors,energy storage system,inverter control
更新于2025-09-16 10:30:52
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[IEEE 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Xi'an, China (2019.6.19-2019.6.21)] 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Robust Predictive Current Control for Photovoltaic Energy Storage System Based on Second-order Tracking Differentiator
摘要： Aiming at the problem of DC bus voltage fluctuation due to the change of photovoltaic (PV) output power, load mutations and nonlinear loads connection in DC microgrid system including PV power generation and energy storage, the robust predictive current control (PCC) for photovoltaic energy storage system based on second-order tracking differentiator (STD) is proposed in this paper. The traditional current loop controller based on PI is replaced by the controller based on the PCC. And the second-order tracking differentiator for the DC bus voltage control system of bidirectional DC-DC converters is designed. The second-order tracking differentiator can track the equivalent disturbance current quickly in the system without adding additional current sensors. Feed forward method based on the STD is proposed to improve the disturbance rejection capability of the system. The simulation results show that the DC bus voltage fluctuations can be suppressed effectively by using the predictive current control based on second-order tracking differentiator, and the dynamic performance and robustness of the system are improved.
关键词： Photovoltaic Energy Storage System,Second-order Tracking Differentiator,Predictive Current Control,Bidirectional DC-DC Converter
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Chengdu, China (2019.5.21-2019.5.24)] 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Coordinated Control Strategy of Electric Vehicles and Energy Storage System for Smoothing Power Fluctuations of Photovoltaics
摘要： The increasing penetration of distributed photovoltaic (PV) generation causes significant power fluctuations in the distribution network. To maintain power quality and reliability, some measures must be taken to manage these fluctuations. Energy storage system (ESS) which have the advantages of high power density and fast charging and discharging switching speed are widely proposed to smooth the PV fluctuations. However, the operation cost of ESS is expensive. Dispatching charging and discharging power of EV is an economical way to solve the problem, but the dispatchable capacity of EV is not always sufficient. Therefore, we propose a real-time control strategy that the PV power fluctuations can be smoothed by EVs and ESS, in which a convex optimization model is established to solve the problem. This strategy smooths the PV power under the uncertainties of the PV output using the flexibility of the EV. The smoothing performances can be ensured by ESS output when the dispatching capacity of EV is insufficient. The smoothing error is controllable with the convex optimization model. The proposed strategy is able to reduce the total installed capacity and avoid the overcharge and overdischarge of ESS. Case studies were carried out to demonstrate the validity and application advantages of the strategy.
关键词： power fluctuations,Distributed photovoltaics,real-time optimal dispatching,energy storage system,electric vehicles
更新于2025-09-16 10:30:52
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Optimal Scheduling of Residential Home Appliances by Considering Energy Storage and Stochastically Modelled Photovoltaics in a Grid Exchange Environment Using Hybrid Grey Wolf Genetic Algorithm Optimizer
摘要： The transformation of a conventional power system to a smart grid has been underway over the last few decades. A smart grid provides opportunities to integrate smart homes with renewable energy resources (RERs). Moreover, it encourages the residential consumers to regulate their home energy consumption in an effective way that suits their lifestyle and it also helps to preserve the environment. Keeping in mind the techno-economic reasons for household energy management, active participation of consumers in grid operations is necessary for peak reduction, valley filling, strategic load conservation, and growth. In this context, this paper presents an efficient home energy management system (HEMS) for consumer appliance scheduling in the presence of an energy storage system and photovoltaic generation with the intention to reduce the energy consumption cost determined by the service provider. To study the benefits of a home-to-grid (H2G) energy exchange in HEMS, photovoltaic generation is stochastically modelled by considering an energy storage system. The prime consideration of this paper is to propose a hybrid optimization approach based on heuristic techniques, grey wolf optimization, and a genetic algorithm termed a hybrid grey wolf genetic algorithm to model HEMS for residential consumers with the objectives to reduce energy consumption cost and the peak-to-average ratio. The effectiveness of the proposed scheme is validated through simulations performed for a residential consumer with several domestic appliances and their scheduling preferences by considering real-time pricing and critical peak-pricing tariff signals. Results related to the reduction in the peak-to-average ratio and energy cost demonstrate that the proposed hybrid optimization technique performs well in comparison with different meta-heuristic techniques available in the literature. The findings of the proposed methodology can further be used to calculate the impact of different demand response signals on the operation and reliability of a power system.
关键词： energy storage system,home-to-grid energy exchange,hybrid grey wolf genetic algorithm,home energy management system,photovoltaic generation and smart grid
更新于2025-09-12 10:27:22
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Multi-Objective Sizing of Hybrid Energy Storage System for Large-Scale Photovoltaic Power Generation System
摘要： Hybrid energy storage systems (HESS) are an e?ective way to improve the output stability for a large-scale photovoltaic (PV) power generation systems. This paper presents a sizing method for HESS-equipped large-scale centralized PV power stations. The method consists of two parts: determining the power capacity by a statistical method considering the e?ects of multiple weather conditions and calculating the optimal energy capacity by employing a mathematical model. The method fully considers the characteristics of PV output and multiple kinds of energy storage combinations. Additionally, a pre-storage strategy that can further improve stability of output is proposed. All of the above methods were veri?ed through a case study application to an 850 MW centralized PV power station in the upstream of the Yellow river. The optimal hybrid energy storage combination and its optimization results were obtained by this method. The results show that the optimal capacity con?guration can signi?cantly improve the stability of PV output and the pre-storage strategy can further improve the target output satisfaction rate by 8.28%.
关键词： large-scale PV power station,hybrid energy storage system,sizing,pre-storage strategy
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE Russian Workshop on Power Engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI) - Magnitogorsk, Russia (2019.10.4-2019.10.5)] 2019 IEEE Russian Workshop on Power Engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI) - Selecting Components for Bidirectional DC-DC Converter of Photovoltaic Power Supply System
摘要： The article presents a selection procedure for the components selection of a bidirectional DC-DC. The converter is used to implement energy storage system as part of a photovoltaic power supply system. The storage system provides energy balance and smooth voltage oscillations in the power supply system’s DC link via controlling energy flows. The considered approach can be used in photovoltaic and electric vehicles and electric drives applications. The paper includes a description of power components selection based on physical properties and power supply system requirements. Besides, an economic analysis of components as a part of power supply system is considered.
关键词： Bidirectional DC-DC converter,Photovoltaic power supply system,Energy storage system
更新于2025-09-12 10:27:22
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An Evaluation of the Effect on the Expansion of Photovoltaic Power Generation According to Renewable Energy Certificates on Energy Storage Systems: A Case Study of the Korean Renewable Energy Market
摘要： As part of efforts to cope with climate change, countries around the world have decided to supply photovoltaic (PV) power. However, since the integration of PV affects the reliability and stability of a power system, increasing the penetration of PV generation requires better system flexibility. For this reason, many countries have recently established policies to disseminate energy storage systems (ESS). In this paper, we aim to evaluate the effectiveness of policies regarding ESS as a way to increase PV integration. We analyzed whether the policies were effective in spreading ESS to eventually increase PV integration. To do this, we first described the Korean government’s policy of establishing a profit structure for ESS through the Renewable Energy Certificate (REC) market and analyzed its effects on economic feasibility. We also analyzed how much the investment in ESS for PV integration has risen and assessed the contribution of spreading ESS to disseminate PV power. We found that ESS for the integration of PV have grown to a 41.0% share of Korea’s ESS market in kW, and 32.8% in kWh, while expanding the PV market by 13.7%.
关键词： energy storage system,policy effectiveness evaluation,photovoltaic generation integration,renewable energy certificate,economic feasibility analysis
更新于2025-09-12 10:27:22
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Determining the size of energy storage system to maximize the economic profit for photovoltaic and wind turbine generators in South Korea
摘要： This study identifies the optimal size of an Energy Storage System (ESS) for Photovoltaic (PV) and Wind Turbine (WT) generators under current Korean government policies. The government has pledged to promote the use of ESS with PV and WT generation to reduce the variability and uncertainty of renewable energy generation. The proposed algorithm determines the optimal ESS size required for PV and WT suppliers to maximize economic profit by using their historical generation profiles and compensation price. Net Present Value (NPV) is used as an economic parameter to determine the optimal size of ESS and consequently, the optimization indicates the maximization of NPV in this study. Furthermore, this paper proposes a methodology to estimate the size of ESS when there is insufficient information for future PV and WT suppliers. To verify the proposed algorithms, actual PV and WT generation profiles as well as the compensation price in South Korea are used. The simulation results indicate that the optimal capacity ratio between Renewable Energy Source (RES), ESS battery, and ESS PCS is determined as 1:3.3:0.7 and 1:3:1 for PV and WT respectively. Furthermore, the ESS size estimated by the proposed methodology shows a marginal difference from the optimal size, with an error of less than 3% for PV and 0% for WT.
关键词： Wind Turbine (WT),Photovoltaic (PV),Economic analysis,ESS sizing,Estimation model,Energy storage system (ESS)
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Chengdu, China (2019.5.21-2019.5.24)] 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Development of Incentive Model for Photovoltaic Generators to Participate in a Day-ahead Electricity Market in South Korea
摘要： This paper presents the incentive model when Photovoltaic (PV) generator participates in a day-ahead market in South Korea. For this, the current supporting policy for PV generation and rules of a day-ahead market are analyzed. Because of the lack of the incentive model for PV supplier in a day-ahead market, Independent System Operation (ISO) can’t consider PV generation when they plan the short-term supply of the system. Therefore, the proposed incentive model is developed to provide the additional profit to encourage PV supplier to participate in the market based on the accuracy of PV generation bidding. To verify incentive model, the actual data including PV generation, System Marginal Price (SMP) and Renewable Energy Certificate (REC) price are used.
关键词： Day-ahead Electricity Market,Photovoltaic (PV),Energy Storage System (ESS),Incentive Model
更新于2025-09-11 14:15:04
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[IEEE 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) - Hangzhou (2018.8.16-2018.8.19)] 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) - RBF Neural Network Adaptive PID Control for Energy Storage System in Grid-Connected Photovoltaic Microgrid
摘要： In photovoltaic microgrid, the output power of PV array will change with the change of external light and temperature. In order to maintain the stability of output power of PV system, energy storage system is usually added into the system. In a energy storage system, the most widely used control method is proportional-integral-derivative (PID) based control, however, the control effect of PID control is dependent on parameter tuning. In this paper, a PID controller based on adaptive radial basis function (RBF) neural network is proposed to adjust the PID parameters adaptively, and improve the response speed, anti-interference ability and robustness of the traditional PID controller. In the end, the energy storage system is built in the MATLAB/Simulink software, which is applied to the 100kW photovoltaic array to stabilize the output power when the light and temperature changed.
关键词： adaptive control,energy storage system,photovoltaic microgrid,RBF neural network,PID control
更新于2025-09-11 14:15:04