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| 1 | A comprehensive review for wind,solar,and electrical load forecasting methods显示文摘Wind power,solar power,and electrical load forecasting are essential works to ensure the safe and stable operation of the electric power system.With the increasing permeability of new energy and the rising demand response load,the uncertainty on the production and load sides are both increased,bringing new challenges to the forecasting work and putting forward higher requirements to the forecasting accuracy.Most review/survey papers focus on one specific forecasting object(wind,solar,or load),a few involve the above two or three objects,but the forecasting objects are surveyed separately.Some papers predict at least two kinds of objects simultaneously to cope with the increasing uncertainty at both production and load sides.However,there is no corresponding review at present.Hence,our study provides a comprehensive review of wind,solar,and electrical load forecasting methods.Furthermore,the survey of Numerical Weather Prediction wind speed/irradiance correction methods is also included in this manuscript.Challenges and future research directions are discussed at last. | Han Wang Ning Zhang Ershun Du Jie Yan Shuang Han Yongqian Liu | 2022 | Global Energy Interconnection2022，5，1： | 9 |
| 2 | Constructing a V2G-enabled Regional Energy Internet for Cost-efficient Carbon Trading显示文摘The increasing penetration of plug-in electric ve- hicles (PEVs) has highlighted the importance of coordinating ubiquitous distributed energy resources (DERs) via the internet of things (IoT).With the help of vehicle-to-grid (V2G) technology, PEVs can be aggregated to behave as a storage system, yielding both economic and environmental benefits. In this paper, we propose an optimal bidding framework for a V2G-enabled re- gional energy internet (REI) to participate in day-ahead markets considering carbon trading. The REI operator aims to maximize the net profits from day-ahead markets while anticipating real- time adjustments. A detailed battery model is developed to depict the charging and discharging capability of V2G-enabled PEVs. A two-stage stochastic optimization model is formulated to schedule the operation of PEV fleets against various sources of uncertainties, e.g., the arrival and departure time of PEVs, solar power and real-time prices. Case studies undertaken based on realistic datasets demonstrate that the coordination of the V2G- enabled PEVs and other DERs can facilitate the accommodation of renewable energy, thus improving the REI’s revenues in energy and carbon markets. | Jianxiao Wang Zhaoyuan Wu Ershun Du Ming Zhou Gengyin Li Yining Zhang Le Yu | 2020 | CSEE Journal of Power and Energy Systems2020，6，1： | 4 |
| 3 | Flexibility improvement evaluation of hydrogen storage based on electricity-hydrogen coupled energy model显示文摘To achieve carbon neutrality by 2060,decarbonization in the energy sector is crucial.Hydrogen is expected to be vital for achieving the aim of carbon neutrality for two reasons:use of power-to-hydrogen(P2H)can avoid carbon emissions from hydrogen production,which is traditionally performed using fossil fuels;Hydrogen from P2H can be stored for long durations in large scales and then delivered as industrial raw material or fed back to the power system depending on the demand.In this study,we focus on the analysis and evaluation of hydrogen value in terms of improvement in the flexibility of the energy system,particularly that derived from hydrogen storage.An electricity-hydrogen coupled energy model is proposed to realize the hourly-level operation simulation and capacity planning optimization aiming at the lowest cost of energy.Based on this model and considering Northwest China as the region of study,the potential of improvement in the flexibility of hydrogen storage is determined through optimization calculations in a series of study cases with various hydrogen demand levels.The results of the quantitative calculations prove that effective hydrogen storage can improve the system flexibility by promoting the energy demand balance over a long term,contributing toward reducing the investment cost of both generators and battery storage and thus the total energy cost.This advantage can be further improved when the hydrogen demand rises.However,a cost reduction by 20%is required for hydrogen-related technologies to initiate hydrogen storage as long-term energy storage for power systems.This study provides a suggestion and reference for the advancement and planning of hydrogen storage development in regions with rich sources of renewable energy. | Chen Jin Jinyu Xiao Jinming Hou Xiaoqing Wu Jinxuan Zhang Ershun Du | 2021 | Global Energy Interconnection2021，4，4： | 3 |
| 4 | Towards carbon neutrality:A study on China's long-term low-carbon transition pathways and strategies显示文摘As the world's biggest carbon dioxide(CO_(2))emitter and the largest developing country,China faces daunting challenges to peak its emissions before 2030 and achieve carbon neutrality within 40 years.This study fully considered the carbon-neutrality goal and the temperature rise constraints required by the Paris Agreement,by developing six long-term development scenarios,and conducting a quantitative evaluation on the carbon emissions pathways,energy transformation,technology,policy and investment demand for each scenario.This study combined both bottom-up and top-down methodologies,including simulations and analyses of energy consumption of end-use and power sectors(bottom-up),as well as scenario analysis,investment demand and technology evaluation at the macro level(top-down).This study demonstrates that achieving carbon neutrality before 2060 translates to significant efforts and overwhelming challenges for China.To comply with the target,a high rate of an average annual reduction of CO_(2) emissions by 9.3%from 2030 to 2050 is a necessity,which requires a huge investment demand.For example,in the 1.5℃ scenario,an investment in energy infrastructure alone equivalent to 2.6%of that year's GDP will be necessary.The technological pathway towards carbon neutrality will rely highly on both conventional emission reduction technologies and breakthrough technologies.China needs to balance a long-term development strategy of lower greenhouse gas emissions that meets both the Paris Agreement and the long-term goals for domestic economic and social development,with a phased implementation for both its five-year and long-term plans. | Jiankun He Zheng Li Xiliang Zhang Hailin Wang Wenjuan Dong Ershun Du Shiyan Chang Xunmin Ou Siyue Guo Zhiyu Tian Alun Gu Fei Teng Bin Hu Xiu Yang Siyuan Chen Mingtao Yao Zhiyi Yuan Li Zhou Xiaofan Zhao Ying Li Danwei Zhang | 2022 | Environmental Science and Ecotechnology2022，，1： | 2 |
| 5 | Coordinated Operation of Concentrating Solar Power Plant and Wind Farm for Frequency Regulation显示文摘As a dispatchable renewable energy technology, the fast ramping capability of concentrating solar power (CSP) can be exploited to provide regulation services. However, frequent adjustments in real-time power output of CSP, which stems out of strategies offered by ill-designed market, may affect the durability and the profitability of the CSP plant, especially when it provides fast regulation services in a real-time operation. We propose the coordinated operation of a CSP plant and wind farm by exploiting their complementarity in accuracy and durability for providing frequency regulation. The coordinated operation can respond to regulation signals effectively and achieve a better performance than conventional thermal generators. We further propose an optimal bidding strategy for both energy and frequency regulations for the coordinated operation of CSP plant and wind farm in day-ahead market (DAM). The validity of the coordinated operation model and the proposed bidding strategy is verified by a case study including a base case and sensitivity analyses on several impacting factors in electricity markets. | Yuchen Fang Shuqiang Zhao Ershun Du Shaoyan Li Zuyi Li | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，4： | 1 |
| 6 | Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty显示文摘This paper proposes an adjustable and distributionally robust chance-constrained(ADRCC) optimal power flow(OPF) model for economic dispatch considering wind power forecasting uncertainty. The proposed ADRCC-OPF model is distributionally robust because the uncertainties of the wind power forecasting are represented only by their first-and second-order moments instead of a specific distribution assumption. The proposed model is adjustable because it is formulated as a second-order cone programming(SOCP) model with an adjustable coefficient.This coefficient can control the robustness of the chance constraints, which may be set up for the Gaussian distribution, symmetrically distributional robustness, or distributionally robust cases considering wind forecasting uncertainty. The conservativeness of the ADRCC-OPF model is analyzed and compared with the actual distribution data of wind forecasting error. The system operators can choose an appropriate adjustable coefficient to tradeoff between the economics and system security. | Xin FANG Bri-Mathias HODGE Fangxing LI Ershun DU Chongqing KANG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，3： | 1 |
| 7 | Locational Pricing of Uncertainty Based on Robust Optimization显示文摘With the increasing penetration of renewables,power systems have to operate with greater flexibility to address the uncertainties of renewable output.This paper develops an uncertainty locational marginal price(ULMP)mechanism to price these uncertainties.They are denoted as box deviation intervals as suggested by the market participants.The ULMP model solves a robust optimal power flow(OPF)problem to clear market bids,aiming to minimize the system cost as a prerequisite that the reserve margin can address all the relevant uncertainties.The ULMP can be obtained as a by-product of the optimization problem from the Lagrange multipliers.Under the ULMP mechanism,renewables and consumers with uncertainty will make extra payments,and the thermals and financial transmission right(FTR)holders will be compensated.It is further shown that the proposed mechanism has preferable properties,such as social efficiency,budget balance and individual rationality.Numerical tests are conducted on the modified IEEE 5-bus and 118-bus systems to demonstrate the merits and applicability of the proposed mechanism. | Xichen Fang Ershun Du Kedi Zheng Jiajia Yang Qixin Chen | 2021 | CSEE Journal of Power and Energy Systems2021，7，6： | 0 |
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