International Journal of Electrical Power & Energy Systems最新文献

{"title":"Multi-step prediction of offshore wind power based on Transformer network and Huber loss","authors":"","doi":"10.1016/j.ijepes.2024.110229","DOIUrl":"10.1016/j.ijepes.2024.110229","url":null,"abstract":"<div><p>In the context of the burgeoning expansion of renewable energy sources, the precise prediction of offshore wind power assumes a pivotal role in safeguarding the reliability, economic viability, and sustainable progression of offshore wind farms. The present study introduces a novel methodology for offshore wind power prediction, predicated upon the synergy of the Transformer network and Huber loss function. Empirical validation is conducted utilizing authentic data from a European offshore wind farm. The resulting analyses delineate a discernible superiority of the Transformer network over classical LSTM and GRU models in capturing the intricate long-term dependencies intrinsic to the time series. Furthermore, the inclusion of the Huber loss function effectively mitigates the challenges posed by the high volatility often characteristic of offshore wind power data. The study also demonstrates the beneficial integration of autoencoder reconstruction for denoising and slime mould optimization algorithm to augment prediction performance. Distinctively diverging from traditional single-step prediction paradigms, the multi-step prediction model constructed within this research offers a more comprehensive and precise prediction of wind power. Such an innovative approach represents a valuable contribution to the field, with tangible implications for the dependable operation and future advancement of wind power.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004502/pdfft?md5=71d5bcd25f84abcc84f8d212838085e2&pid=1-s2.0-S0142061524004502-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Short-term multiple fault risk assessment for power systems considering unexpected actions of protection system under weather disasters","authors":"","doi":"10.1016/j.ijepes.2024.110254","DOIUrl":"10.1016/j.ijepes.2024.110254","url":null,"abstract":"<div><p>The occurrence of weather disasters expands the multiple fault risk of the new power system with a high proportion of renewable energy sources. The unexpected actions of the protection system will further promote the propagation of multiple fault risks. Therefore, a short-term multiple fault risk assessment method for power systems considering unexpected actions of the protection system under weather disasters is proposed in this paper. First, the modes of risk expansion caused by unexpected actions of the protection system is analyzed. Second, a coupled fault probability model of primary and secondary equipment under weather disasters is established, which comprehensively considers the system risk expansion modes caused by false and failure actions of protection system for power grids and grid-related protection for renewable energy sources. Then, the risk indexes such as branch power flow overlimit, bus voltage overlimit, and load loss of power systems are calculated; the weak links and high-risk accident chains are screened. Finally, the effectiveness of the proposed method is demonstrated on a modified IEEE 39-bus power system by comparing four simulation scenarios. The results verify that the proposed method can more accurately reflect the interaction between primary and secondary equipment after the occurrence of a fault, and reveal the propagation process of multiple faults in the power system. It can provide decision-making support for risk prevention and weak link management for power system operators.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004757/pdfft?md5=5c61444b084580aff7d47e2853ec1181&pid=1-s2.0-S0142061524004757-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Score-based incentive demand response for load aggregators considering power-score redeem behavior of residential consumers","authors":"","doi":"10.1016/j.ijepes.2024.110233","DOIUrl":"10.1016/j.ijepes.2024.110233","url":null,"abstract":"<div><p>A large amount of residential demand-side resources can be aggregated and utilized under attractive demand response mechanisms. Based on the consumer loyalty program in the research of marketing, a new score-based incentive demand response (SIDR) strategy considering power-score redeem behavior was presented. A bi-level SIDR optimization model that combines the SIDR parameters optimization with the residential consumers’ demand response optimization is proposed. At the lower level, a weight coefficient was modeled based on the construal level theory and fuzzy theory to clarify the influence of incentive step-size and reward distance on residential consumers’ redeem behavior. Then, the optimization model of residential consumers’ demand response was proposed, considering residential consumers’ redeem behavior and comfort in electricity consumption. At the upper level, the optimization model of SIDR incentive parameters is proposed for load aggregators to maximize the demand response profit. The case study on the data of the demand-side bidding market in Zhejiang province, China, illustrates that the SIDR strategy considering power-score redeem behavior can help load aggregators formulate a more reasonable SIDR mechanism and obtain more profit than other incentive-based demand response strategies, thereby enhancing the flexibility and economics of the power system.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S014206152400454X/pdfft?md5=e3bcfb38b550494caa594a54c031e317&pid=1-s2.0-S014206152400454X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Multi-objective optimization of IPMSM for electric vehicles based on the combinatorial surrogate model and the hierarchical design method","authors":"","doi":"10.1016/j.ijepes.2024.110245","DOIUrl":"10.1016/j.ijepes.2024.110245","url":null,"abstract":"<div><p>This paper investigates the optimization design of interior permanent magnet synchronous motors (IPMSM) for electric vehicles (EVs). The optimization process of IPMSM involves numerous design parameters, and the optimization objectives often conflict with each other, resulting in a vast design space and difficulties in establishing an accurate mathematical model. The traditional finite element analysis (FEA) optimization methods are time-consuming and computationally intensive, posing a significant challenge to achieving high-performance IPMSM with high torque, high efficiency, low vibration, and low losses. To address this issue, this paper proposes a multi-objective optimization of IPMSM for electric vehicles based on the combinatorial surrogate model and the hierarchical design method. Firstly, a comprehensive sensitivity coefficient method is employed to categorize design variables into two layers: high-sensitivity design variables (HSDVs) and low-sensitivity design variables (LSDVs). Secondly, using the improved Latin hypercube sampling (LHS) method to extract sample data, a high-precision combined surrogate model (RSM + Kriging) is constructed and combined with the non-dominated sorting genetic algorithm II (NSGA-II) optimization algorithm to optimize HSDVs. Meanwhile, the fuzzy inference Taguchi method (FITM) is utilized to optimize the LSDVs. Finally, the performance of the IPMSM before and after optimization has been analyzed through the FEA method, and different optimization methods were introduced for comparison. The results show that compared to other optimization methods, the optimization approach proposed in this paper can effectively enhance the overall performance of the IPMSM. The average torque of the optimized IPMSM increased by 5.22 %, the torque ripple decreased by 77.64 %, and the total losses were reduced by 6.21 %. Furthermore, compared to the traditional FEA method, this method reduces optimization time and improves optimization efficiency without compromising on optimization accuracy.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004666/pdfft?md5=9724b702e97f3159e779a3e5e6b8fdcb&pid=1-s2.0-S0142061524004666-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 distributed knowledge method for multi-agent power flow analysis based on consensus algorithms","authors":"","doi":"10.1016/j.ijepes.2024.110212","DOIUrl":"10.1016/j.ijepes.2024.110212","url":null,"abstract":"<div><p>The paper introduces a novel gradient tracking-based algorithm for solving the power flow problem in a fully distributed manner, using the <span><math><mrow><mi>A</mi><mi>B</mi></mrow></math></span> algorithm. The motivation for this work stems from the limitations of centralized approaches, which can be overcome with distributed implementations. Notably, the proposed distributed algorithm eliminates the need for a central monitoring facility, allowing all calculations, input data, and network intelligence to remain within individual buses (agents), thus removing single points of failure and preserving data privacy. The paper presents how this can be achieved by reformulating the power flow study as a purely distributed optimization problem, and then applying the <span><math><mrow><mi>A</mi><mi>B</mi></mrow></math></span> algorithm, which can effectively converge even when only partial system information is available. To enhance the performance of the proposed algorithm, two significant modifications—cost function whitening and momentum—are introduced as an additional contribution, which enables faster convergence (in fewer than 20 iterations) while maintaining accuracy comparable to traditional centralized power flow algorithms. The effectiveness of the proposed framework is validated through tests on IEEE 14- and 300-bus systems, demonstrating its practical applicability and robustness. The paper also examines some extreme operating scenarios, such as instances when communication is lost with parts of the network, or when uncertainty exists in grid parameters.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004332/pdfft?md5=da7bdbb18bcbb7d1688ed55d2bc2836e&pid=1-s2.0-S0142061524004332-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 allocation method of oxygen enriched combustion-carbon capture low-carbon integrated energy system considering uncertainty of carbon-source-load","authors":"","doi":"10.1016/j.ijepes.2024.110220","DOIUrl":"10.1016/j.ijepes.2024.110220","url":null,"abstract":"<div><p>In the context of green grid, it is crucial to enhance the low-carbon transformation of integrated energy systems. To improve the degree of low-carbon in these systems, this paper proposes an optimal allocation method of oxygen enriched combustion-carbon capture low-carbon integrated energy system considering the uncertainty of carbon-source-load. Firstly, this paper provides an analysis of uncertainties of carbon-source-load and uses budget uncertainty sets to model the three uncertain parameters. Secondly, in the integrated energy system, the by-product O₂ of hydrogen production by electrocution and the oxygen storage device are used to provide oxygen-enriched combustion conditions for the gas turbine to reduce the CO₂ generated in the combustion process. At the same time, the carbon capture device is used to collect CO₂, and the oxygen enriched combustion-carbon capture integrated energy system is formed. Finally, an improved multi-populations quantum-behaved particle swarm optimization algorithm is proposed to solve the proposed model. This method considers the uncertainty of carbon emission intensity, which makes the optimal allocation of integrated energy system more inclined to low-carbon rather than economic. In addition, in terms of model structure, this method integrates oxygen enriched combustion-carbon capture into the integrated energy system to form a low-carbon model, which directly improves the low-carbon performance of the system. The simulation results show that the carbon emission of the proposed method is reduced by 38.8 % compared with other methods.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004411/pdfft?md5=5622082a43b7e7cdd7a7733a092ed096&pid=1-s2.0-S0142061524004411-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Distributed peer-to-peer electricity-heat-carbon trading for multi-energy virtual power plants considering copula-CVaR theory and trading preference","authors":"","doi":"10.1016/j.ijepes.2024.110231","DOIUrl":"10.1016/j.ijepes.2024.110231","url":null,"abstract":"<div><p>To promote clean and low-carbon energy development, distributed renewable energy resources are connected to power systems, which affects the stable operation of these systems. Virtual power plants can aggregate various distributed energy resources and have become an important way to improve power system stability. In response to the impact of renewable energy uncertainties and the advantages of virtual power plants in resource mutual sharing, a distributed peer-to-peer electricity-heat-carbon trading method for multi-energy virtual power plants is proposed based on conditional value-at-risk and copula theory in this paper. First, considering the wind and solar forecast errors correlation, the uncertainty loss is quantitatively modelled by conditional value-at-risk and copula theory. Second, considering the trading preferences of various resources and the multi-market coordination of electricity, heat, and carbon, a peer-to-peer trading model is established to achieve horizontal complementarity among multiple virtual power plants. Subsequently, the alternating direction method of multipliers with Gaussian back-substitution is applied to solve the optimization model, and an adaptive step is used to further accelerate convergence. Finally, case studies are performed to verify the effectiveness, rationality, and superiority. The results shows that prediction errors for the virtual power plant lead to a 23.8 % reduction in risk costs. At the same time, there is an 11.14 % decrease in total costs. Moreover, the model-solving time was reduced by 613 s, showing significantly improved efficiency of the solution method.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004526/pdfft?md5=8f02fcc014b0ef3fb9ea09999ea62a5e&pid=1-s2.0-S0142061524004526-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Bi-level generator start-up sequence optimization model for power system restoration considering the DoS attack","authors":"","doi":"10.1016/j.ijepes.2024.110219","DOIUrl":"10.1016/j.ijepes.2024.110219","url":null,"abstract":"<div><p>The reasonable generator start-up sequence (GSUS) strategy is beneficial to increasing the energy capacity of power systems after a blackout. Since the decision-making strategies of power systems are highly dependent on the cyber system, the denial of service (DoS) attack, as the most common type of cyber attacks, may prevent the generators from being re-started at their desired time and degrade performance of the optimal GSUS strategy in the power system restoration process, which has not been studied in the existing methods. To fill this gap, a bi-level GSUS optimization strategy against the DoS attack is proposed in this work. First, the effects of the DoS attack on the power generation of generators are analyzed and quantified by the generation energy loss. Then, a bi-level optimization model for the GSUS is proposed considering the DoS attack, where the upper-level model, referred to as the attacker model, aims to maximize the energy loss to prolong the restoration of generators by optimizing the time instant of the attack, while the lower-level model, referred to as the defender model, aims to maximize the energy generation by adjusting the optimal GSUS strategy in the restoration process. Both the upper-level and lower-level models are reformulated as mixed-integer linear programing problems, which can be efficiently solved by commercial solvers. Finally, the IEEE 39-bus power system and an actual power system in China are employed to verify the effectiveness of the proposed model.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S014206152400440X/pdfft?md5=c0b38df21c45444b7d06cd01d44ee27f&pid=1-s2.0-S014206152400440X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Stability analysis of doubly-fed fan with small disturbance oscillation based on regional decoupling impedance model","authors":"","doi":"10.1016/j.ijepes.2024.110236","DOIUrl":"10.1016/j.ijepes.2024.110236","url":null,"abstract":"<div><p>Because the rotor side converter parameters of doubly-fed fan are not properly set, the doubly-fed wind farm connected to the series complement transmission line may cause small disturbance and oscillation accidents. At present, the analysis and stability analysis between the converter and the series complement parameters are not deep enough. In this paper, the regional decoupling impedance analysis method is proposed to analyze the stability of this phenomenon. Firstly, based on the rotor side control link, the regional decoupling impedance model is constructed to solve the parameter interaction limitation problem that the traditional impedance model cannot solve. Secondly, Sobol global sensitivity analysis is used to analyze the sensitivity of the regional decoupling impedance model, and the influence of the interaction between parameters on the equivalent output resistance is quantitatively analyzed. Then, considering the stability constraints such as DC voltage and average power, the stability domain composed of power, current ratio parameters and series complement parameters of the rotor side converter of the doubly-fed fan is analyzed, and the multi-parameter coordinated optimization strategy is proposed. Finally, the effectiveness of the above method is verified by simulation, which provides a new idea and support for improving the stable operation and reliability of the doubly-fed fan system.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004575/pdfft?md5=0606d6e44c2f7b8eb6219446f7a171a0&pid=1-s2.0-S0142061524004575-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Passivity-based sliding mode current control for grid-following modular multilevel converter with system disturbances","authors":"","doi":"10.1016/j.ijepes.2024.110222","DOIUrl":"10.1016/j.ijepes.2024.110222","url":null,"abstract":"<div><p>This paper proposes a passivity-based sliding mode current control (PBSMCC) for addressing challenges in stable grid-following operation of the modular multilevel converter (MMC) with system disturbances such as grid voltage sag caused by load variation or faults in the main grid or mismatches in system parameters caused by impedance uncertainty or equipment aging. An energy storage function in passivity theory is constructed based on the MMC Euler-Lagrange (EL) model for preserving the system passivity property. Then, the additional inputs are designed for energy shaping and guaranteeing the global asymptotical convergence to the sliding surface with the passivation process. The external disturbances would be dissipated rapidly under a designed sliding regime with extra damping terms. Hence the proposed control scheme in the grid-following MMC provides stable operation across a wide range with enhanced robustness with reduced control efforts. The system dynamics with active power step changes, grid voltage sag, power factor plunge, and model parameter variation are investigated in case studies. The simulation results can validate the effectiveness and superiority of the proposed control scheme, which owes a broad stable operation domain with minimal control efforts, even if it operates at an extremely low power factor. The limitation of the narrow operating range of the traditional proportional-integral (PI) control with local linearization is overcome in the grid-following MMC output currents regulation and circulating currents suppression.</p></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0142061524004435/pdfft?md5=3f8424a6fdadfc56c81910b9d0625983&pid=1-s2.0-S0142061524004435-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}