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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Bohong Wang Qinglai Guo Tianyu Yang Hongbin Sun Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Uncertainty is not negligible in power systems, it affects the generation, transmission and utilization of electricity. Especially in electricity markets, the randomness and variability of generation or load will cause notable forecast errors and lead to economic losses of market participants. Due to the data explosion in recent few years, data have gradually become valuable information that can be mined, analyzed, and applied. Meanwhile, the utility that more abundant and accurate information could eliminate uncertainty is emerging. In this paper, solar power plants (SPPs) are selected as the object, the general mechanism in electricity markets is briefly introduced and the corresponding market optimization model is constructed. With the optimization model analytically solved, the impact of uncertainty is analyzed and the expressions of information value are derived. Besides, uniform, normal, logistic, and Laplace distribution are used in the evaluation of information value and compared. Finally, the case study is conducted to verify the theoretical results of information value and illustrate its significance.

关键词： Economics Uncertainty System integration Electricity supply industry power systems Solar power generation Optimization

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Comparison of boost and LLC converter and active clamp isolated full-bridge boost converter for photovoltaic DC system

Comparison of boost and LLC converter and active clamp isola...

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作者： Liu, Jiye Zheng, Zedong Wang, Kui Li, Yong Dong State Key Laboratory of Control Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

DC collection network offers an attractive alternative to AC network for photovoltaic, as it avoids the charging current issues and reduces the size and weight. Variable voltage gain DC/DC converters play an important role in DC collection network. Two topologies suitable for photovoltaic DC collection are studied. Boost and LLC converter and active clamp isolated full-bridge boost converter are two converters with high and variable voltage conversion ratio suitable for the photovoltaic system. This work investigates the two converters comprehensively. The topologies are analysed so as to summarise and compare the characteristic of the converters. Soft switching condition is compared to help extend the zero voltage switching range. Voltage and current stress of the two converters are calculated. Loss comparison is made with the theoretical analysis. Advantages and disadvantages are summarised to get a deep insight into their application field. © 2019 Institution of Engineering and *** right reserved.

关键词： Topology

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Effects of temperature on creepage discharge characteristics in oil-impregnated pressboard insulation under combined AC–DC voltage

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Plasma Science and Technology 2019年第5期21卷 14-22页

作者： Fubao JIN Yuanxiang ZHOU Bin LIANG Zhongliu ZHOU Ling ZHANG Key Laboratory of Plateau Ecology and Agriculture College of Agriculture and Animal HusbandrySchool of Water Resources and Electric PowerQinghai UniversityXining 800016People's Republic of China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical EngineeringTsinghua UniversityBeijing 100084People's Republic of China

Due to the complexity of the valve side winding voltage of the converter transformer, the insulation characteristics of the oil-impregnated pressboard(OIP) of the converter transformer are different from those of the traditional AC transformer. The study on effect of temperature on the creeping discharge characteristics of OIP under combined AC–DC voltage is seriously inadequate. Therefore, this paper investigates the characteristics of OIP creepage discharge under combined AC–DC voltage and discusses the influence of temperature on creepage discharge characteristics under different temperatures from 70 °C to 110 °C. The experimental results show that the partial discharge inception voltage and flashover voltage decrease with increasing temperature. The times of low amplitude discharge(LAD) decrease and amplitude of LAD increases. Simultaneously, the times of high amplitude discharge(HAD) gradually increase at each stage of creepage discharge with higher temperature. The analysis indicates that the charge carriers easily accumulate and quickly migrate directional movement along the electric field ahead of discharging. The residual charge carriers are more easily dissipated after *** ‘hump’ region of LAD moves to the direction of higher discharge magnitude. The interval time between two continuous discharges is shortened obviously. The concentration of HAD accelerates the development of OIP insulation creepage discharge. The temperature had an accelerating effect on the development of discharge in the OIP under applying voltage.

关键词： oil-impregnated pressboard insulation combined AC-DC voltage inception voltage creepage discharge temperature flashover voltage

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power Reconstructing Method of Distributed Photovoltaic Based on the Temporal and Spatial Correlation 10

Power Reconstructing Method of Distributed Photovoltaic Base...

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2020 10th International Conference on power, Energy and Electrical Engineering, CPEEE 2020

作者： Li, Shangqiang Sun, Rongfu Qiao, Ying Lu, Zongxiang State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District in Beijing100084 China State Grid Jibei Electric Power Company Xicheng District in Beijing100031 China

55GW distributed photovoltaic have been installed in China, but nearly half are connected to the low voltage level of 380V, without real-time power data acquisition. The sequential power data is needed to be reconstructed based on some related monitoring data. Current researches focus on outliers recovery, but not reconstruction from none. This paper explores the temporal and spatial correlation of power between adjacent centralized photovoltaic stations and proposes a large-scale missing power data reconstructing method based on the time-delay power correlation, the spatial geometric characteristics of stations and the thought of ensemble learning. Finally, we verify the effectiveness of the proposed method by simulation based on the real photovoltaic power data. The proposed method can get the better effect of data reconstructing compared with the traditional method, which only use the power curves of the nearest CP station to reconstruct the power curves of the DP station according the capacity conversion. © 2020 The Authors, published by EDP Sciences.

关键词： Data acquisition

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Capacity Configuration of Hybrid CSP/PV Plant for Economical Application of Solar Energy

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Chinese Journal of Electrical Engineering 2020年第2期6卷 19-29页

作者： Fei Li Canbing Li Kai Sun Jiamei Zhang Hua Li State Grid Henan Electric Power Company Economic Research Institute Zhengzhou 450000China College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua UniversityBeijing 100084China Zhangjiakou Power Supply Company Zhangjiakou 075000China

Concentrating solar power(CSP)technology has received increasing attention in recent years because of its distinct advantage for dispatchable power generation from solar ***,owing to its highly levelized costs of electricity,CSP plants are less competitive than photovoltaic(PV)power *** overcome this drawback and suppress PV power fluctuations,the concept of a hybrid CSP/PV power plant is proposed and developed.A capacity configuration method based on filtering and checking is proposed to seek a relationship between the capacity configuration of a hybrid CSP/PV system and the cost of solar ***-content hybrid systems with different ratios of CSP capacity and PV capacity are modeled,and their comprehensive performance is *** and comparisons with a standalone CSP system focused on annual energy generation,capacity factor,levelized cost of electricity,and possibility for loss of power supply show that the hybrid CSP/PV systems possess different features depending on their capacity *** results indicate that the proposed method can supply a convenient and simple operation pattern that favors engineering utilization and extension.

关键词： Concentrating solar power photovoltaic capacity configuration levelized cost of electricity

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A Study of Forecast Uncertainty Handling Technologies for MGEMS Considering power Trading between MGs

A Study of Forecast Uncertainty Handling Technologies for MG...

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IEEE/IAS Industrial and Commercial power System Asia (I&CPS Asia)

作者： Yue Zhao Hong-Chao Gao Gang Luo Chao Gong Chen Zhao Xuan Zhang Power Dispatch and Control Center Guangdong Power Grid Co. Ltd Guangzhou China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua Univeristy Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Attention to efficient and cost-effective utilize of energy has become a common view in the energy sector. A variety of microgrid energy management systems are developed and installed to achieve the goal. However, the performance of the microgrid energy management system depends on some factors, such as forecast uncertainty, measurement error, and so forth. Among them, a series of handling technologies for the forecast uncertainty are the focus in this paper. It includes accuracy improvement of prediction program based on time series method, operation strategy adoption, real-time control scheme for the energy storage equipment, and proposes a robust rule to against the extreme situation as well. This not only achieves effective energy management, but also helps to avoid operation cost increasing induced by the transaction bias assessment through the improvement of energy scheduling accuracy. The effectiveness and validity of these means is verified in the constructed campus microgrids at Chonnam National University.

关键词： Industrial power systems Asia Conferences

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Coordinated Wholesale and Retail Market Mechanism for Providing Demand-side Flexibility

Coordinated Wholesale and Retail Market Mechanism for Provid...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Luo, Gang He, Yujun Zhao, Chen Zhang, Xuan Lin, Shaohua Zhao, Yue Guangdong Power Grid Co. Ltd Dispatch and Control Center Guangzhou China Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Beijing China

ISBN: (纸本)9781728149301

With the trend of electricity market deregulation for recent decades, the consumers at demand-side are progressively encouraged to trade the power in competitive market environment. Conventionally, only large-scale consumers participate directly in the wholesale market that adopts spot energy pricing. Most small-scale consumers are involved in the retail market that offers non-varying tariff predefined by retailers or utility companies. In this work, we investigate a framework of coordinated wholesale and retail market structure that enables consumers in the retail market to reflect the spot price and improve the power system flexibility for the high penetration of renewables. Then, market behaviors of demand-side participants with the proposed market mechanism and some related business models are discussed. The following participation modes for consumers could be opted including: direct trade, trade agented by retailers or organized in virtual power plant (VPP). For a pool-based trade at demand-side, a bi-level market clearing mechanism at transmission and distribution levels is explained. This mechanism seeks to optimize the global demand profile for hosting renewables while solving the operating constraint of loads and local networks. This study can offer constructive advises to promote further development of China's electricity market. © 2019 IEEE.

关键词： power markets

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Medium and long-term wind energy forecasting method considering multi-scale periodic pattern 10

Medium and long-term wind energy forecasting method consider...

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2020 10th International Conference on power, Energy and Electrical Engineering, CPEEE 2020

作者： Lin, Yisha Lu, Zongxiang Qiao, Ying Li, Mingjie Liang, Zhifeng State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China State Grid Corporation of China Haidian District Beijing100031 China

Medium and long-term weather sequence forecast becomes unreliable beyond two weeks since the weather is a chaotic system. Using values of same months for electricity prediction of wind power is the usual method. This approach defaults wind power output with annual cycle law. However, the periodic pattern can be very complicated in fact with multiple time scales. This paper proposes an approach with multi-scale periodic pattern considered. The application of parametric estimation on cumulative distribution function avoids the difficulty of predicting the power curve. Meteorological condition is considered to some extent via multi-scale periodic pattern explored basing on historical energy data. This work is an exploration for medium and long-term wind power forecasting that can well adapt to existing conditions. It has better prediction accuracy than the method without multi-scale periodicity considered. © 2020 The Authors, published by EDP Sciences.

关键词： Wind power

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Energy Management of a Residential Consumer with Uncertain Renewable generation: A Robust Dual Dynamic Programming Approach

Energy Management of a Residential Consumer with Uncertain R...

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第三十九届中国控制会议

作者： Dangwu Liu Zhongjie Guo Feng Chen Xiaodai Xue Shengwei Mei State Grid Anhui Electric Power CO. LTD. State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical EngineeringTsinghua University

This paper studies the dynamic operation of a residential electric energy system with distributed renewable *** streams among the power grid, local renewable plant, storage unit, and demand are considered;the temporal volatility of renewable generation is described by an uncertainty set, and the optimal operation problem gives rise to a multi-stage robust optimization. To deal with the non-anticipativity issue, the robust model is solved via robust dual dynamic programming（RDDP）approach. The the cost-to-go function is approximated by iteratively updating the upper and lower bounds, which can be obtained from forward-pass and backward pass procedures. Case studies validate the performance and advantage of the proposed method.

关键词： Residential energy management battery energy storage renewable generation uncertainty robust dual dynamic programming

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Commutation Failure Mitigation Method Based on Improved Commutation Area in HVDC system 8

Commutation Failure Mitigation Method Based on Improved Comm...

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8th IEEE International Conference on Advanced power System Automation and Protection, APAP 2019

作者： Wang, Haozong Dong, Xinzhou Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China

ISBN: (纸本)9781728117225

Commutation failure (CF) is one of the major concerns in high-voltage direct current (HVDC) transmission system. Of many methods to mitigate CF, advancing firing angle is preferred one since it can be easily implemented in current HVDC controllers without extra hardware modification. However, methods in previous works either lack for quantitative analysis or based on much strong hypothesis. In this paper, we propose a novel CF mitigation method based on improved commutation area. The salient feature of proposed strategy is that DC current is not considered as a constant under fault conditions. simulations on PSCAD/EMTDC software demonstrate the good performance of proposed method. © 2019 IEEE.

关键词： Electric commutation

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