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Mechanism of Primary Frequency Regulation for Battery Hybridization in Hydropower Plant 水力发电厂电池混合使用的一次频率调节机制
IF 6.9 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.06420
Yiwen Liao;Weijia Yang;Zhecheng Wang;Yifan Huang;C. Y. Chung
Battery hybridization in hydropower plants is a hydropower flexibility enhancement technology innovation that can potentially expand hydropower's contributions to the grid, but its fundamental characteristics and influencing mechanisms are still unclear. In this paper, primary frequency regulation (PFR) performance and the mechanism of this new technology are studied. A battery hybridized hydropower plant (BH-HPP) model, based on a field-measured-data-based hydropower plant (HPP) model and a verified battery simplified model, is established. Analysis of system stability and dynamics is undertaken for three different battery control strategies by root locus and participation factor methods. Compared to conventional HPPs, analysis results theoretically reveal BH-HPP can not only accelerate system regulation rapidity but also effectively enlarge HPP stability region during PFR process. Time domain simulation verifies the results and further shows synthetic control has better performance among introduced strategies. Besides, initial design ranges of control parameters considering battery capacity and a renewable energy source scenario case are also discussed. This work could provide theoretical support for flexibility enhancement solutions for hydropower systems.
水电站电池混合发电是一项提高水电灵活性的技术创新,有可能扩大水电对电网的贡献,但其基本特征和影响机制尚不清楚。本文研究了这种新技术的一次频率调节(PFR)性能和机理。在基于现场测量数据的水电站(HPP)模型和经过验证的电池简化模型的基础上,建立了电池混合水电站(BH-HPP)模型。通过根定位法和参与因子法对三种不同的电池控制策略进行了系统稳定性和动态分析。与传统水电站相比,分析结果从理论上揭示了 BH-HPP 不仅能加快系统调节速度,还能在 PFR 过程中有效扩大水电站的稳定区域。时域仿真验证了这一结果,并进一步表明合成控制在引入的各种策略中具有更好的性能。此外,还讨论了考虑电池容量和可再生能源情况下控制参数的初始设计范围。这项工作可为水电系统灵活性增强解决方案提供理论支持。
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引用次数: 0
Optimal Expansion Planning Model for Integrated Energy System Considering Integrated Demand Response and Bidirectional Energy Exchange 考虑综合需求响应和双向能量交换的综合能源系统最优扩展规划模型
2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2021.09220
Wenkai Dong;Zhigang Lu;Liangce He;Jiangfeng Zhang;Tao Ma;Xiaobo Cao
The challenges of energy shortage and environmental protection motivate people to take various measures to use energy wisely, and integrated energy systems are such a measure to tackle this challenge. In this paper, an optimal expansion planning model for an integrated energy system consisting of power grid, gas network and multiple energy hubs is proposed, where the planning objective is to minimize operational fuel cost and capital investment cost covering carbon capture equipment and energy hubs among others. To demonstrate the advantage of the proposed planning model, six case studies are investigated, and 13.47% annual cost savings can be achieved compared with the baseline planning scenario, which does not consider bidirectional energy exchange and integrated demand response program.
能源短缺和环境保护的挑战促使人们采取各种措施明智地使用能源,综合能源系统就是应对这一挑战的措施。本文提出了一个由电网、天然气网络和多个能源枢纽组成的综合能源系统的最优扩张规划模型,其中规划目标是最大限度地降低运营燃料成本和资本投资成本,包括碳捕获设备和能源枢纽等。为了证明所提出的规划模型的优势,对六个案例进行了调查,与基线规划方案相比,可以实现13.47%的年度成本节约,该方案不考虑双向能源交换和综合需求响应计划。
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引用次数: 0
Data-driven Static Equivalence with Physics-informed Koopman Operators 数据驱动的静态等效与物理信息库普曼算子
IF 7.1 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.08750
Wei Lin;Changhong Zhao;Maosheng Gao;C. Y. Chung
With deployment of measurement units, fitting static equivalent models of distribution networks (DNs) by linear regression has been recognized as an effective method in power flow analysis of a transmission network. Increasing volatility of measurements caused by variable distributed renewable energy sources makes it more difficult to accurately fit such equivalent models. To tackle this challenge, this letter proposes a novel data-driven method to improve equivalency accuracy of DNs with distributed energy resources. This letter provides a new perspective that an equivalent model can be regarded as a mapping from internal conditions and border voltages to border power injections. Such mapping can be established through 1) Koopman operator theory, and 2) physical features of power flow equations at the root node of a DN. Performance of the proposed method is demonstrated on the IEEE 33-bus and IEEE 136-bus test systems connected to a 661-bus utility system.
随着测量单元的部署,通过线性回归拟合配电网络(DN)的静态等效模型已被视为输电网络功率流分析的有效方法。多变的分布式可再生能源导致测量值的波动性不断增加,这使得精确拟合此类等效模型变得更加困难。为应对这一挑战,本文提出了一种新颖的数据驱动方法,以提高分布式能源资源的 DNs 等效精度。本文提供了一个新视角,即等效模型可视为从内部条件和边界电压到边界功率注入的映射。这种映射可通过:1)库普曼算子理论;2)DN 根节点处功率流方程的物理特征来建立。我们在连接到 661 总线公用事业系统的 IEEE 33 总线和 IEEE 136 总线测试系统上演示了所建议方法的性能。
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引用次数: 0
Transient Stability Analysis and Design of VSGs with Different DC-Link Voltage Controllers 采用不同直流链路电压控制器的 VSG 瞬态稳定性分析与设计
IF 7.1 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.03300
Chao Shen;Wei Gu;Wanxing Sheng;Keyan Liu
Virtual synchronous control has been widely studied for the advantages of emulating inertia for voltage source converters (VSCs). A constant dc-link voltage is usually assumed in existing literature to estimate transient stability of virtual synchronous generators (VSGs). However, actual power supply in the dc-side of VSGs is limited and different dc-link voltage controllers are needed to achieve power balance between DC side and AC side. Addition of dc-link voltage controller has great influence on transient behavior of VSGs, which has not been investigated by previous research. To fill this gap, this paper gives insights into the effect of dc-link voltage dynamics on transient stability of VSGs. First, two typical kinds of VSGs with dc-link voltage controllers are introduced. Then, mathematical models considering dc-link dynamics are established and the effect of dc-link voltage controllers on transient synchronization stability of VSGs is revealed through equal area criterion (EAC). It is found that dc-link voltage controller would reduce stability margin of VSGs and design-oriented transient stability analysis is carried out quantitively using critical clearing time (CCT). Finally, simulation results are given to validate correctness of theoretical analysis.
虚拟同步控制具有模拟电压源变换器(VSC)惯性的优点,因此已被广泛研究。现有文献在估算虚拟同步发电机(VSG)的瞬态稳定性时,通常假定直流侧电压恒定。然而,虚拟同步发电机直流侧的实际供电是有限的,因此需要不同的直流侧电压控制器来实现直流侧和交流侧之间的功率平衡。增加直流侧电压控制器对 VSG 的瞬态行为有很大影响,而之前的研究尚未对此进行研究。为了填补这一空白,本文深入探讨了直流侧电压动态对 VSG 瞬态稳定性的影响。首先,介绍了两种典型的带直流侧电压控制器的 VSG。然后,建立了考虑直流链路动态的数学模型,并通过等面积准则(EAC)揭示了直流链路电压控制器对 VSG 瞬态同步稳定性的影响。研究发现,直流链路电压控制器会降低 VSG 的稳定裕度,并利用临界清除时间 (CCT) 进行了以设计为导向的瞬态稳定性定量分析。最后,给出了仿真结果,以验证理论分析的正确性。
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引用次数: 0
Electrical Tracking, Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate, Graphene and Glass Fiber Additives 含三水合铝、石墨烯和玻璃纤维添加剂的硅橡胶绝缘材料的电跟踪、侵蚀和阻燃性能
2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.08120
M. Tariq Nazir;Arslan Khalid;B. Toan Phung;Arup K. Das;Peter Cheetham;Ashish Paramane;Shakeel Akram;Khoi Loon Wong
Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation applications. Low electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited, substantially reduce its working life. This paper attempts to investigate tracking/erosion performance of room temperature vulcanized (RTV) silicone rubber along with flame retardant parameters using aluminum trihydrate (ATH), graphene nanosheets (GN) and milled glass fiber (GF) additives. The inclined plane test (IPT) was performed in line with criteria defined in IEC 60587 using step-up tracking voltage method while flame retardancy is evaluated according to ASTM E 1354.0 using a cone calorimeter. Results suggest 30% of ATH assists in improving physical tracking/erosion resistance of pristine silicone elastomer rubber by impeding development of leakage current and a great reduction in maximum average temperatures on the surface of RTV2. Further improvement in performance of RTV2 is achieved through introduction of 1% of GN and 5% of GF as seen in RTV4. Moreover, 30% of ATH reduces heat release rate and smoke production rate, and this trend is improved with the introduction of GN/GF. RTV4 has pop up as the most promising silicone rubber composite with excellent electrical tracking, erosion, and flame resistance performance relative to its counterparts in this study.
硅橡胶复合材料是高压户外绝缘应用中优先使用的电气绝缘材料。硅橡胶一旦点燃,电跟踪/侵蚀低,阻燃性能差,大大缩短了其使用寿命。本文试图使用三水合铝(ATH)、石墨烯纳米片(GN)和研磨玻璃纤维(GF)添加剂,研究室温硫化(RTV)硅橡胶的跟踪/侵蚀性能以及阻燃参数。根据IEC 60587中定义的标准使用升压跟踪电压法进行倾斜面试验(IPT),同时根据ASTM E 1354.0使用锥形量热计评估阻燃性。结果表明,30%的ATH通过阻碍漏电流的发展和RTV2表面最高平均温度的大幅降低,有助于提高原始硅弹性体橡胶的物理跟踪/耐侵蚀性。RTV2性能的进一步提高是通过引入1%的GN和5%的GF实现的,如RTV4所示。此外,30%的ATH降低了热释放率和烟雾产生率,并且随着GN/GF的引入,这一趋势得到了改善。RTV4已成为最有前途的硅橡胶复合材料,与本研究中的同类材料相比,它具有优异的电跟踪、侵蚀和阻燃性能。
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引用次数: 1
Coupon-Based Demand Response for Consumers Facing Flat-Rate Retail Pricing 为面临统一零售价的消费者提供基于优惠券的需求响应
IF 6.9 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2021.05140
Hongxun Hui;Yi Ding;Kaining Luan;Tao Chen;Yonghua Song;Saifur Rahman
Even though smart meters have been widely used in power systems around the world, many consumers are still finding it hard to participate in demand response (DR) due to flat-rate retail pricing policy. To address this issue, this paper proposes a coupon-based demand response (CDR) scheme to achieve equivalent dynamic retail prices to inspire consumers' inherent elasticity. First, a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards, which are then broadcast to consumers to motivate them to reschedule their power consumption behaviors. To evaluate the adjustment value of consumers' power consumption, a collective utility function is proposed to formulate the relationship between power quantity and coupon rewards. On this basis, the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units' output power according to real-time load demands and fluctuating renewable energies. After the operation interval, a settlement method is developed to quantify consumers' electricity fees and coupon benefits on a monthly basis. The proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive, small consumers participating in DR. The proposed CDR is implemented in a realistic DR project in China to verify consumers' energy cost and renewables' curtailment can both be decreased.
尽管智能电表已在全球电力系统中得到广泛应用,但由于统一的零售价格政策,许多消费者仍难以参与需求响应(DR)。为解决这一问题,本文提出了一种基于优惠券的需求响应(CDR)方案,以实现等效的动态零售价格,从而激发消费者的内在弹性。首先,在日前市场中建立了一个安全受限的单位承诺优化模型,以获得优惠券奖励,然后将其广播给消费者,激励他们重新安排用电行为。为了评估用户用电量的调整值,提出了一个集体效用函数来表述电量与优惠券奖励之间的关系。在此基础上,建立了日内市场的安全约束经济调度模型,根据实时负荷需求和波动的可再生能源重新安排发电机组的输出功率。运行间隔结束后,开发一种结算方法,按月量化用户的电费和优惠券收益。所提出的 CDR 方案避免了实时迭代投标过程,有效降低了大量小用户参与 DR 的难度。所提出的 CDR 方案在中国的一个实际 DR 项目中得到了实施,验证了用户的用能成本和可再生能源削减量均可降低。
{"title":"Coupon-Based Demand Response for Consumers Facing Flat-Rate Retail Pricing","authors":"Hongxun Hui;Yi Ding;Kaining Luan;Tao Chen;Yonghua Song;Saifur Rahman","doi":"10.17775/CSEEJPES.2021.05140","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.05140","url":null,"abstract":"Even though smart meters have been widely used in power systems around the world, many consumers are still finding it hard to participate in demand response (DR) due to flat-rate retail pricing policy. To address this issue, this paper proposes a coupon-based demand response (CDR) scheme to achieve equivalent dynamic retail prices to inspire consumers' inherent elasticity. First, a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards, which are then broadcast to consumers to motivate them to reschedule their power consumption behaviors. To evaluate the adjustment value of consumers' power consumption, a collective utility function is proposed to formulate the relationship between power quantity and coupon rewards. On this basis, the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units' output power according to real-time load demands and fluctuating renewable energies. After the operation interval, a settlement method is developed to quantify consumers' electricity fees and coupon benefits on a monthly basis. The proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive, small consumers participating in DR. The proposed CDR is implemented in a realistic DR project in China to verify consumers' energy cost and renewables' curtailment can both be decreased.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"1887-1900"},"PeriodicalIF":6.9,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397509","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}
引用次数: 0
Planning Method and Coordinated Operation Strategy for Multi-Station Integration System 多站集成系统的规划方法和协调运行策略
IF 7.1 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.02920
Ankang Miao;Yue Yuan;Han Wu;Junpeng Zhu
A multi-station integration system (MSIS) integrating other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon energy and its high-efficiency utilization. To this end, a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model. In this study, a new business model of the MSIS, with substations as the carrier, integrating distributed photovoltaic, energy storage, electric vehicle charging, data center, and 5G base stations is proposed. From the social environment, natural conditions, and complementary characteristics, a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme. Scenario reduction is performed by extracting feature vectors and building a comprehensive evaluation function to select the optimal combination scheme under a specific scenario. Moreover, for the combination scheme in a specific scenario, the optimal capacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions. Finally, simulations are performed on a practical MSIS located in Wuxi, China, and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.
整合其他多类型电站的多电站集成系统(MSIS)为实现资源集约开发、促进低碳能源及其高效利用提供了一条新途径。为此,在新的商业模式中建立了新颖的多站集成规划方法和 MSIS 协调运营战略模型。本研究提出了以变电站为载体,集分布式光伏、储能、电动汽车充电、数据中心、5G 基站于一体的 MSIS 新商业模式。从社会环境、自然条件、互补特性等方面建立综合指标体系,分析变电站的扩展能力和多站组合方案。通过提取特征向量,建立综合评价函数,选择特定场景下的最优组合方案,进行场景还原。此外,针对特定场景下的组合方案,建立了不同运行条件下 MSIS 的最优容量配置和协调运行策略机会约束编程模型。最后,在中国无锡的一个实际 MSIS 上进行了仿真,仿真结果证明了 MSIS 规划方法和协调运行策略模型的合理性和有效性。
{"title":"Planning Method and Coordinated Operation Strategy for Multi-Station Integration System","authors":"Ankang Miao;Yue Yuan;Han Wu;Junpeng Zhu","doi":"10.17775/CSEEJPES.2022.02920","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.02920","url":null,"abstract":"A multi-station integration system (MSIS) integrating other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon energy and its high-efficiency utilization. To this end, a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model. In this study, a new business model of the MSIS, with substations as the carrier, integrating distributed photovoltaic, energy storage, electric vehicle charging, data center, and 5G base stations is proposed. From the social environment, natural conditions, and complementary characteristics, a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme. Scenario reduction is performed by extracting feature vectors and building a comprehensive evaluation function to select the optimal combination scheme under a specific scenario. Moreover, for the combination scheme in a specific scenario, the optimal capacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions. Finally, simulations are performed on a practical MSIS located in Wuxi, China, and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 6","pages":"2394-2408"},"PeriodicalIF":7.1,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550325","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}
引用次数: 0
Dispatchable Region for Active Distribution Networks Using Approximate Second-Order Cone Relaxation 使用近似二阶锥形松弛的主动配电网络可调度区域
IF 7.1 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.00220
Zhigang Li;Wenjing Huang;J. H. Zheng;Q. H. Wu
Uncertainty in distributed renewable generation threatens the security of power distribution systems. The concept of dispatchable region is developed to assess the ability of power systems to accommodate renewable generation at a given operating point. Although DC and linearized AC power flow equations are typically used to model dispatchable regions for transmission systems, these equations are rarely suitable for distribution networks. To achieve a suitable trade-off between accuracy and efficiency, this paper proposes a dispatchable region formulation for distribution networks using tight convex relaxation. Second-order cone relaxation is adopted to reformulate AC power flow equations, which are then approximated by a polyhedron to improve tractability. Further, an efficient adaptive constraint generation algorithm is employed to construct the proposed dispatchable region. Case studies on distribution systems of various scales validate the computational efficiency and accuracy of the proposed method.
分布式可再生能源发电的不确定性威胁着配电系统的安全。可调度区域的概念是为了评估电力系统在给定运行点容纳可再生能源发电的能力而提出的。虽然直流和线性化交流功率流方程通常用于为输电系统的可调度区域建模,但这些方程很少适用于配电网络。为了在精度和效率之间取得适当的权衡,本文提出了一种采用紧凸松弛的配电网可调度区域公式。本文采用二阶圆锥松弛来重构交流电力流方程,然后用多面体对其进行近似以提高可操作性。此外,还采用了一种高效的自适应约束生成算法来构建所提出的可调度区域。对不同规模配电系统的案例研究验证了所提方法的计算效率和准确性。
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引用次数: 0
Real-time Energy Management of Low-carbon Ship Microgrid Based on Data-driven Stochastic Model Predictive Control 基于数据驱动随机模型预测控制的低碳船舶微电网实时能量管理
2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2021.08950
Hui Hou;Ming Gan;Xixiu Wu;Kun Xie;Zeyang Fan;Changjun Xie;Ying Shi;Liang Huang
With increasing restrictions on ship carbon emissions, it has become a trend for ships to use zero-carbon energy such as solar to replace traditional fossil energy. However, uncertainties of solar energy and load affect safe and stable operation of the ship microgrid. In order to deal with uncertainties and real-time requirements and promote application of ship zero-carbon energy, we propose a real-time energy management strategy based on data-driven stochastic model predictive control. First, we establish a ship photovoltaic and load scenario set considering time-sequential correlation of prediction error through three steps. Three steps include probability prediction, equal probability inverse transformation scenario set generation, and simultaneous backward method scenario set reduction. Second, combined with scenario prediction information and rolling optimization feedback correction, we propose a stochastic model predictive control energy management strategy. In each scenario, the proposed strategy has the lowest expected operational cost of control output. Then, we train the random forest machine learning regression algorithm to carry out multivariable regression on samples generated by running the stochastic model predictive control. Finally, a low-carbon ship microgrid with photovoltaic is simulated. Simulation results demonstrate the proposed strategy can achieve both real-time application of the strategy, as well as operational cost and carbon emission optimization performance close to stochastic model predictive control.
随着对船舶碳排放的限制不断增加,船舶使用太阳能等零碳能源取代传统化石能源已成为一种趋势。然而,太阳能和负载的不确定性影响了船舶微电网的安全稳定运行。为了应对不确定性和实时性要求,促进船舶零碳能源的应用,我们提出了一种基于数据驱动随机模型预测控制的实时能源管理策略。首先,我们通过三个步骤建立了一个考虑预测误差时序相关性的船舶光伏和负载场景集。三个步骤包括概率预测、等概率逆变换场景集生成和同时反向方法场景集约简。其次,结合情景预测信息和滚动优化反馈校正,提出了一种随机模型预测控制能量管理策略。在每种情况下,所提出的策略具有最低的控制输出的预期操作成本。然后,我们训练随机森林机器学习回归算法,对运行随机模型预测控制生成的样本进行多变量回归。最后,对低碳船用光伏微电网进行了仿真研究。仿真结果表明,该策略既能实现策略的实时应用,又能实现运行成本和碳排放优化性能接近随机模型预测控制。
{"title":"Real-time Energy Management of Low-carbon Ship Microgrid Based on Data-driven Stochastic Model Predictive Control","authors":"Hui Hou;Ming Gan;Xixiu Wu;Kun Xie;Zeyang Fan;Changjun Xie;Ying Shi;Liang Huang","doi":"10.17775/CSEEJPES.2021.08950","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.08950","url":null,"abstract":"With increasing restrictions on ship carbon emissions, it has become a trend for ships to use zero-carbon energy such as solar to replace traditional fossil energy. However, uncertainties of solar energy and load affect safe and stable operation of the ship microgrid. In order to deal with uncertainties and real-time requirements and promote application of ship zero-carbon energy, we propose a real-time energy management strategy based on data-driven stochastic model predictive control. First, we establish a ship photovoltaic and load scenario set considering time-sequential correlation of prediction error through three steps. Three steps include probability prediction, equal probability inverse transformation scenario set generation, and simultaneous backward method scenario set reduction. Second, combined with scenario prediction information and rolling optimization feedback correction, we propose a stochastic model predictive control energy management strategy. In each scenario, the proposed strategy has the lowest expected operational cost of control output. Then, we train the random forest machine learning regression algorithm to carry out multivariable regression on samples generated by running the stochastic model predictive control. Finally, a low-carbon ship microgrid with photovoltaic is simulated. Simulation results demonstrate the proposed strategy can achieve both real-time application of the strategy, as well as operational cost and carbon emission optimization performance close to stochastic model predictive control.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 4","pages":"1482-1492"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10213441/10106187.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50425461","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}
引用次数: 0
Single-source Switched-capacitor Boost Nine-level Inverter with Reduced Components 减少元件的单源开关电容Boost九电平逆变器
2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2023-04-20 DOI: 10.17775/CSEEJPES.2022.06520
Kaibalya Prasad Panda;R.T. Naayagi;Pravat Kumar Ray;Gayadhar Panda
Increasing demands for improvement in power quality and power capacity have contributed to development of switched-capacitor multilevel inverters (SCMLIs). Recently developed SCMLIs enable single-stage voltage boosting, as well as inversion resulting in step-up ac output. Towards reduction in number of components, this paper introduces a boost type single-source nine-level (9-level) SCMLI employing two capacitors and three diodes. Owing to the series-parallel connection process, capacitor voltages are inherently balanced and assist in quadruple voltage boosting from a single-source. Maximum voltage stress across semiconductor devices is limited to twice input voltage only. Using a minimum number of components, the proposed SCMLI can be extended to increase voltage levels without additional dc input. Each extension module adds two additional voltage steps in the output while maintaining maximum voltage stress the same as 9-level circuit. Followed by in-depth analysis of circuit operation and power losses, a thorough comparison of recently developed single-phase 9-level MLIs is carried out, which verifies design superiority. Extensive simulation and experimental results are presented to verify the prominent features of the 9-level SCMLI under dynamic operating conditions.
对改善电能质量和功率容量的需求不断增加,促进了开关电容多电平逆变器(SCMLI)的发展。最近开发的SCMLI能够实现单级升压,以及逆变,从而产生升压交流输出。为了减少元件数量,本文介绍了一种采用两个电容器和三个二极管的升压型单源九电平(9电平)SCMLI。由于串并联连接过程,电容器电压本质上是平衡的,并有助于从单个电源升压四倍。半导体器件上的最大电压应力仅限于输入电压的两倍。使用最小数量的组件,所提出的SCMLI可以在没有额外直流输入的情况下扩展到增加电压电平。每个扩展模块在输出中增加两个额外的电压阶跃,同时保持与9电平电路相同的最大电压应力。在深入分析电路运行和功率损耗的基础上,对最近开发的单相9电平MLI进行了深入的比较,验证了设计的优越性。通过大量的仿真和实验结果验证了9级SCMLI在动态运行条件下的突出特点。
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引用次数: 0
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CSEE Journal of Power and Energy Systems
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