IET Renewable Power Generation最新文献

{"title":"Multi-energy complementary optimal scheduling based on hydrogen gas turbine considering the flexibility of electrolyser","authors":"Yuntian Zhang,&nbsp;Tiance Zhang,&nbsp;Siwei Liu,&nbsp;Gengyin Li,&nbsp;Yapeng Zhang,&nbsp;Zhibing Hu","doi":"10.1049/rpg2.13039","DOIUrl":"https://doi.org/10.1049/rpg2.13039","url":null,"abstract":"<p>With the transition towards a low-carbon energy system, renewable energy resources have been extensively developed. However, the limited ability of the power system to absorb renewable energy sources with high volatility, such as wind and solar power, has led to significant curtailment. Redundant electric energy can be converted into storable hydrogen energy through electrolysis and utilized for heating purposes. By leveraging the complementarity of diverse energy sources, optimal allocation of renewable energy can be achieved across a broader scope. However, in the current scheduling of multi-energy systems, the efficiency of electrolyser is crudely assumed to be a constant, which results in scheduling solutions that deviate from the Pareto optimum. Therefore, a polymer electrolyte membrane electrolyser's model with non-linear relationship between the load rate and conversion efficiency is proposed in this paper. To tackle the non-convex optimal scheduling challenge, an adaptive chaos-augmented particle swarm optimization algorithm is introduced, which effectively enhances computational efficiency while preventing entrapment in local optima. Case studies based on IEEE 14-node system verified the effectiveness of the proposed method.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 12","pages":"1972-1985"},"PeriodicalIF":2.6,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transient synchronization stability of a weak-grid connected VSC considering the interaction of outer control loops and PLL dynamics","authors":"Xialin Li,&nbsp;Li Pan,&nbsp;Zhi Wang,&nbsp;Zhongguan Wang,&nbsp;Xu Zhou,&nbsp;Li Guo","doi":"10.1049/rpg2.13035","DOIUrl":"https://doi.org/10.1049/rpg2.13035","url":null,"abstract":"<p>Since these large-scale renewable power generation (RPGs) stations are always located far away from load centres, voltage source converters (VSCs) always operate in weak-grid connected conditions, due to the long distance of transmission line and increasing capacity of RPGs. Large power disturbance of RPGs easily causes weak-grid connected VSCs (WG-VSCs) suffering from transient synchronization instability issue, which is lack of theoretical and quantitative analysis. This paper is motivated to fill this gap. By considering the dynamic interaction of outer DC voltage control, reactive power loop, and phase-locked loop (PLL), an equivalent synchronization model of a WG-VSC system is established first. Then, the mechanism of transient synchronization instability is revealed by the combination of equal area criterion and numerical integration method. Furthermore, the concept of feasible region of active power disturbance (FR-APD) is introduced for the first time. With the constructed FR-APD, the transient stability of the WG-VSC system can be confirmed. Finally, experimental results based on the RT-BOX hardware-in-the-loop platform are presented to verify the theoretical analysis.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 12","pages":"1847-1861"},"PeriodicalIF":2.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How wind forecast updates are balanced in coupled European intraday markets","authors":"Florian Boehnke,&nbsp;Sven Kolkmann,&nbsp;Robin Leisen,&nbsp;Christoph Weber","doi":"10.1049/rpg2.13065","DOIUrl":"https://doi.org/10.1049/rpg2.13065","url":null,"abstract":"<p>The market coupling of adjacent market zones is a key element in terms of coping with rising levels of uncertainty in the European energy system due to the adoption of more volatile renewable energy sources. An adequate analysis of this issue yet requires an appropriate consideration of uncertainty along with a detailed modelling of market coupling. Thus, we present a novel approach combining a comprehensive unit commitment and dispatch model with a sophisticated methodology to reflect the uncertainty of wind power generation by considering forecast updates for the German market region in the market clearing process. Subsequently, we investigate the impact of uncertainty on cross-border electricity flows in a European case study. Our results show that all adjacent market zones and all relevant technologies significantly contribute to balancing forecast updates in Germany, underlining the benefits of intraday market coupling. Further, we observe that a joint and unrestricted intraday market is the most cost-efficient market solution. Finally, our analyses show that more extensive market coupling is indispensable for the further integration of renewable energy sources in the future.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 12","pages":"1997-2016"},"PeriodicalIF":2.6,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust parameter identification based on nature-inspired optimization for accurate photovoltaic modelling under different operating conditions","authors":"Zengxiang He,&nbsp;Yihua Hu,&nbsp;Kanjian Zhang,&nbsp;Haikun Wei,&nbsp;Mohammed Alkahtani","doi":"10.1049/rpg2.13057","DOIUrl":"https://doi.org/10.1049/rpg2.13057","url":null,"abstract":"<p>Accurate parameter identification plays a crucial role in realizing precise modelling, design optimization, condition monitoring, and fault diagnosis of photovoltaic systems. However, due to the nonlinear, multivariate, and multistate characteristics of PV models, it is difficult to identify perfect model parameters using traditional analytical and numerical methods. Besides, some existing methods may stick in local optimum and have slow convergence speed. To address these challenges, this paper proposes an enhanced nature-inspired OLARO algorithm for PV parameter identification under different conditions. OLARO is improved from ARO incorporating existing opposition-based learning, Lévy flight and roulette fitness-distance balance to improve global search capability and avoid local optima. Firstly, a novel data smoothing measure is taken to reduce the noises of <i>I</i>–<i>V</i> curves. Then, OLARO is compared with several common algorithms on different solar cells and PV modules using robustness analysis and statistical tests. The results indicate that OLARO has better ability than others to extract parameters from PV models such as single diode, double diode, and PV module models. Moreover, the convergence performance of OLARO is more excellent than the other algorithms. Additionally, the <i>I</i>–<i>V</i> curves of two PV modules under different irradiance and temperature conditions are applied to verify the robustness of the proposed parameter extraction algorithm. Besides, OLARO is successfully applied to two real operating PV modules, and it is compared with two recent well-known methods improved by FDB. Finally, sensitivity analysis, stability analysis, and discussion of practical challenges are provided.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 12","pages":"1893-1925"},"PeriodicalIF":2.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-carbon economic schedule of the H2DRI-EAF steel plant integrated with a power-to-hydrogen system driven by blue hydrogen and green hydrogen","authors":"Bokang Zou,&nbsp;Yuanshi Zhang,&nbsp;Qirui Chen,&nbsp;Qinran Hu,&nbsp;Xiaoyan Hu,&nbsp;Jing Shi,&nbsp;Zesen Li,&nbsp;Qi Wang","doi":"10.1049/rpg2.13064","DOIUrl":"https://doi.org/10.1049/rpg2.13064","url":null,"abstract":"<p>Hydrogen direct reduction iron coupled with electronic arc furnace (H₂DRI-EAF) technology, as an important technology for decarbonisation in the iron and steel industry, has the advantages of high electrification and low carbon emissions. However, the large demand for hydrogen in this technology relies significantly on the production of electrolytic hydrogen, leading to a substantial increase in power consumption in the steel production process. Moreover, the use of an unclean power source in electrolytic hydrogen production leads to increases in indirect carbon emissions, reducing the low-carbon attributes of the technology. This study investigates the integrated flexible operation mode of a steel plant. An illustrating method is utilised for modelling the entire steel production process and power to hydrogen (PtH₂) process in detail for the H₂DRI-EAF steel plant, which includes natural gas, photovoltaic, wind power self-provided power plants, and carbon capture and storage (CCS) systems. A mixed integer linear programming (MILP) model is developed for the comprehensive scheduling of the steel mill. The results of the case studies indicate that by reliably integrating the production of renewable energy and natural gas power plants, the PtH₂ system can fully consume the renewable energy output while ensuring the smooth progress of steel production and maximising the reduction of carbon emissions from hydrogen production and the total cost of steel production.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"3839-3854"},"PeriodicalIF":2.6,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aggregate data-driven dynamic modeling of active distribution networks with DERs for voltage stability studies","authors":"Sunil Subedi,&nbsp;Jesus D. Vasquez-Plaza,&nbsp;Fabio Andrade,&nbsp;Hossein Moradi Rekabdarkolaee,&nbsp;Robert Fourney,&nbsp;Reinaldo Tonkoski,&nbsp;Timothy M. Hansen","doi":"10.1049/rpg2.13063","DOIUrl":"https://doi.org/10.1049/rpg2.13063","url":null,"abstract":"<p>Electric distribution networks increasingly host distributed energy resources based on power electronic converter (PEC) toward active distribution networks (ADN). Despite advances in computational capabilities, electromagnetic transient models are limited in scalability because of their reliance on exact data about the distribution system and each of its components. Similarly, the use of the DER_A model, which is intended to examine the combined dynamic behavior of many DERs, is limited by the difficulty in parameterization. There is a need for improved dynamic models of DERs for use in large power system simulations for stability analysis. This paper proposes an aggregate model-free, data-driven approach for deriving a dynamic partitioned model (DPM) of ADNs. Detailed residential distribution feeders were first developed, including PEC-based DERs and composite load models (CMLDs), from which the aggregated DPM was derived. The performance was evaluated through various case studies and validated against the detailed ADN model and state-of-the-art DER_A model with CMLD. The data-driven DPM achieved a <span></span><math>\u0000 <semantics>\u0000 <mi>fitpercent</mi>\u0000 <annotation>${it fitpercent}$</annotation>\u0000 </semantics></math> of over 90%, accurately representing the aggregated dynamic behavior of ADNs. Furthermore, the DPM significantly accelerated the simulation process with a computational speedup of 68 times compared to the detailed ADN and a 3.5 times speedup compared to the DER_A CMLD model.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 14","pages":"2261-2276"},"PeriodicalIF":2.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a cooperative approach under normal and contingency conditions for generation expansion planning of microgrids","authors":"Saeed Shahbazian,&nbsp;Saeed Kharrati,&nbsp;Abdollah Rastgou","doi":"10.1049/rpg2.13034","DOIUrl":"https://doi.org/10.1049/rpg2.13034","url":null,"abstract":"<p>The issue of generation expansion planning in microgrids has become a challenging issue in electricity industry for two reasons: load growth and uncertainties in renewables' generation. Therefore, this issue is considered here. Here, the modelling of generation expansion planning problem has been developed in a network of microgrids in a decentralized manner, considering normal and contingency conditions. On the other hand, in order to further develop the study considered, decentralized generation expansion planning model of microgrids by considering contingency conditions has been addressed in a cooperative approach to minimize total costs. In developed model, investment decisions are made at the higher level and operational constraints has been considered at lower one. Also, case studies are defined in three different scenarios: islanding operation of microgrids as first scenario and peer-to-peer trading of microgrids in non-cooperative and cooperative approaches as second and third scenarios, respectively. The results of simulations have shown that by facilitating the transactions between microgrids, their total costs are reduced. The costs of the whole set of microgrids in the non-cooperative scenario are reduced by 9.4% compared to the islanding scenario; and the costs are reduced by 7.5% in the cooperative scenario compared to the non-cooperative scenario.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 13","pages":"2065-2079"},"PeriodicalIF":2.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A day-ahead energy management strategy for electric vehicles in parking lots considering multi-scenario simulations and hydrogen storage system","authors":"Armin Mohajeri Avval,&nbsp;Abdolmajid Dejamkhooy","doi":"10.1049/rpg2.13047","DOIUrl":"https://doi.org/10.1049/rpg2.13047","url":null,"abstract":"<p>This article investigated the charge and discharge management structure of electric vehicles (EVs) in intelligent parking lots (IPLs). It seems that with the expansion of renewable energy sources (RESs) as clean energy and investigation of the effects of EVs on the operation and planning of future distribution networks around the way EVs exchange energy with each other and the upstream network operator, RESs such as solar and wind sources, along with hydrogen storage are essential. Therefore, a new stochastic multi-scenario approach for charge/discharge management of EVs parked in IPL was proposed, in which a newly developed model for the IPL with a hydrogen storage system (HSS) consisting of a fuel cell, an electrolyzer, and a hydrogen storage tank was presented. In the proposed model, the constraints of upstream network and power balance constraints, with the operating constraints related to the IPL, including EVs, renewable energy sources, and the hydrogen storage system, were formulated as the most important objectives of the optimization problem. The optimization algorithm, Competitive Swarm Optimizer (CSO), was formulated for implementation, and its results were compared with those of the PSO and GWO algorithms. The CSO must handle a variety of practical, large-scale optimization problems. Based on the obtained results, the excess energy purchased from the upstream network or renewable sources was used as hydrogen storage for consumption during peak hours. As expected, the technical constraints and financial goals of the system were met, and the proposed system was evaluated on a 33-bus network. As the expected benefits will be the most beneficial with the presence of renewable sources, the final profit will be reduced by taking into account uncertainty for charge/discharge management in EVs such as the uncertainty of electric load, market price, wind turbine, and photovoltaic cell sources. Nonetheless, the profit obtained from renewable resources is preferable to losses resulting from the uncertainty of the system, and according to expectation, the performance of the system for managing the optimal charging and discharging of EVs in the IPL will be acceptable with the maximum profit for the grid.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 13","pages":"2102-2127"},"PeriodicalIF":2.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal frequency response coordinated control strategy for hybrid wind-storage power plant based on state reconstruction","authors":"Xinshou Tian,&nbsp;Yongning Chi,&nbsp;Peng Cheng,&nbsp;Yihui Zhao,&nbsp;Hongzhi Liu","doi":"10.1049/rpg2.13049","DOIUrl":"10.1049/rpg2.13049","url":null,"abstract":"<p>When wind power and energy storage operate in tandem, their operational state undergoes continuous shifts during dynamic processes. Determining the frequency modulation capability of the combined wind and energy storage system during frequency modulation participation is challenging, often leading to a decline in power generation efficiency. To address this, the current study introduces an optimal frequency response coordinated control strategy for hybrid wind-storage power plants, anchored in state reconstruction. The frequency modulation capability is restructured based on the current state of charge (SOC) of the energy storage system. Subsequently, the equivalent active power reserve demand is evaluated for wind power, leading to the formulation of a wind power reserve active power level and its corresponding operational strategy. For swift active power support, an adaptive virtual inertia control is designed for the energy storage system, contingent on its current SOC. Concurrently, an adaptive virtual inertia control for wind power is developed, grounded in effective kinetic energy. The hybrid wind-storage power plant engages in primary frequency regulation, tailored to the nature of frequency disturbances and prevailing state characteristics. Simulation analyses affirm that this proposed strategy, which takes into account the SOC of the hybrid wind-storage power plant and the power grid's dynamics, offers robust active power frequency support during load disturbances.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 15","pages":"2892-2906"},"PeriodicalIF":2.6,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal robust sizing of distributed energy storage considering power quality management","authors":"Ying Zhu,&nbsp;Juan Wei,&nbsp;Bozhong Wang,&nbsp;Shiyu Hong,&nbsp;Yutong Liu,&nbsp;Liang Lu","doi":"10.1049/rpg2.13062","DOIUrl":"10.1049/rpg2.13062","url":null,"abstract":"<p>This paper proposes an optimal robust sizing model for distributed energy storage systems (DESSs) considering power quality management. The power conversion systems (PCSs) of DESSs with four-quadrant operation characteristics can provide power quality management services to customers. To improve capacity utilization of the DESS, power quality management services are quantified and integrated into an optimal bi-level sizing model, where the upper level addresses the sizing problem concerning battery and PCS capacities, while the lower level focuses on coordinating active/reactive power control of the DESS. A robust optimization approach for DESS scheduling is adopted to consider uncertainties of distributed photovoltaic (PV) power generation and power quality management requirements. The column and constraint generation (C&amp;CG) algorithm is applied for efficient handling of this model. Ultimately, the effectiveness of the proposed approach is validated through comprehensive comparative analysis of four cases, resulting in a 12.44% increase in the net present value (NPV) over the entire lifecycle.</p>","PeriodicalId":55000,"journal":{"name":"IET Renewable Power Generation","volume":"18 16","pages":"3825-3838"},"PeriodicalIF":2.6,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rpg2.13062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}