|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | An optimization strategy of controlled electric vehicle charging considering demand side response and regional wind and photovoltaic显示文摘Renewable energy,such as wind and photovoltaic(PV),produces intermittent and variable power output.When superimposed on the load curve,it transforms the load curve into a‘load belt’,i.e.a range.Furthermore,the large scale development of electric vehicle(EV)will also have a significant impact on power grid in general and load characteristics in particular.This paper aims to develop a controlled EV charging strategy to optimize the peak-valley difference of the grid when considering the regional wind and PV power outputs.The probabilistic model of wind and PV power outputs is developed.Based on the probabilistic model,the method of assessing the peak-valley difference of the stochastic load curve is put forward,and a two-stage peak-valley price model is built for controlled EV charging.On this basis,an optimization model is built,in which genetic algorithms are used to determine the start and end time of the valley price,as well as the peak-valley price.Finally,the effectiveness and rationality of the method are proved by the calculation result of the example. | Hong LIU Pingliang ZENG Jianyi GUO Huiyu WU Shaoyun GE | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，2： | 23 |
| 2 | Modelling and analysis of half-/full-bridge hybrid MMC when riding through DC-side pole-to-ground fault显示文摘In a modular multilevel converter-based high-voltage direct current(MMC-HVDC)system,the dc fault ride through(FRT)control is an effective way to deal with a dc-side pole-to-ground(PTG)fault.However,the setting of FRT duration brings potential hazards:1)MMC will face the risk of“secondary short circuit”if FRT duration is short;2)ac grid may have power angle stability issue if FRT duration is long.To avoid these hazards and provide theoretical guidance for the FRT duration setting,transient behaviour of dc fault current during the PTG FRT stage is explored in this work.Firstly,challenges of the transient analysis are summarised as non-linearity and high-order issues.In light of this,numerical and Hilbert-Huang Transformation methods are introduced to evaluate the non-linearity issue.It is found that the path of MMC from dc current to dc internal voltage is weakly non-linear.Hence,a linear transient model is built to analyse the dc fault current.By participation factor analysis,the order of the proposed model is further reduced,so that an analytical expression of the dc fault current is approximately derived.Based on the analytical expression,regularities and mechanism of dc fault current are fully revealed.Application of the transient analysis to the setting of FRT duration is elaborated in detail.Finally,the PSCAD/EMTDC simulation verifies the validity of the proposed model and analytical expression. | Zhen He Jiabing Hu Lei Lin Pingliang Zeng | 2022 | High Voltage2022，7，3： | 1 |
| 3 | Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading显示文摘As an integrated carrier of energy production,transmission,distribution,conversion,storage,and utilization,multiple energy systems(MESs)have significant low-carbon potential.This paper proposes a hierarchical distributed dispatch model of MESs considering carbon trading,which is composed of the lower autonomous operation level of each MES and the upper coordinated control level.Different carbon emission sources are considered,including combined heat and power(CHP)units,gas boilers,and power to gas(P2G)devices.The transactive control(TC)mechanism is used to solve the model by introducing a virtual price signal.In the case study based on a 3-MES system,the effectiveness of the proposed distributed method is proved by comparison with a centralized algorithm.Meanwhile,the impacts of different carbon prices on MESs with different resource endowments are analyzed from the aspects of scheduling results,carbon emissions,clean energy consumption rate,and comprehensive operating costs. | Yue Xiang Mengqiu Fang Junyong Liu Pingliang Zeng Ping Xue Gang Wu | 2023 | CSEE Journal of Power and Energy Systems2023，9，2： | 1 |
| 4 | Two-Stage Stochastic Dual Dynamic Programming for Transmission Expansion Planning with Significant Renewable Generation and N-k Criterion显示文摘The large-scale integration of renewable energy sources(RES)is the global trend to deal with the energy crisis and greenhouse emissions.Due to the intermittent nature of RES together with the uncertainty of load demand,the problem of transmission expansion planning(TEP)is facing more and more challenges from uncertainties.In this paper,the TEP problem is modeled as a two-stage formulation,so as to minimize the total of investment costs and generation costs.To ensure the utilization level of the RES generation,the expansion plan is required to provide sufficient transmission capacity for the integration of RES.Also,N-k security criterion is considered into the model,so the expansion plan can meet the required security criteria.The stochastic dual dynamic programming(SDDP)approach is applied to consider the uncertainties,and the whole model is solved by Benders’decomposition technique.Two case studies are carried out to compare the performance of the SDDP approach and the deterministic approach.Results show that the expansion plan obtained by the SDDP approach has a better performance than that of the deterministic approach. | Zhi Wu Pingliang Zeng Xiao-Ping Zhang | 2016 | CSEE Journal of Power and Energy Systems2016，2，1： | 1 |
| 5 | Foreword for the Special Section on Sustainable Power Network Planning显示文摘OVER the past decade,renewable energy has seen rapid development across the world with a total installed capacity of wind generation reaching 435 GW and photovoltaic 223 GW by the end of 2015.This trend is likely to accelerate in the foreseeable future,especially in China where the government has committed to the goal of clean energy contributing 20% of all energy consumption by 2030. | Pingliang Zeng Jinyu Wen | 2016 | CSEE Journal of Power and Energy Systems2016，2，1： | 0 |
| 6 | Guest editorial:Special Issue on Electric Vehicles and Their Integration with Power Grid显示文摘Decarbonization of transport via replacing fossilfueled vehicles with electric ones,has been recognized worldwide as a key measure to tackle the challenges of climate change and environmental pollution due to green house gas emissions.Electric vehicles (EVs). | Pingliang ZENG Kang LI | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，2： | 0 |
| 7 | Review of General Modeling Approaches of Power Converters显示文摘The modeling approaches of power converters occupy an important position in power electronic systems and have made considerable progress over the past years.Continuous modeling approaches and linearization techniques are reviewed,including the state-space average model,generalized average model,averaged small-signal model,and describing function method.A Buck converter with PWM modulation and voltage-mode control is taken as an example to compare the advantages and disadvantages of different methods through simulation analysis.Moreover,the corresponding equivalent circuit with an intuitive physical meaning of state-space average model,generalized average model,and averaged small-signal model is given.The results point out that the generalized average model can improve the modeling accuracy based on the state-space average model.In the linearization techniques,the averaged small-signal model reflects accuracy at low frequencies,but introduces phase lag in the high-frequency region.The describing function method is derived from harmonic linearization,which takes into account the sideband effect and improves the modeling accuracy at high frequencies. | Dong Yan Chenglin Yang Lijun Hang Yuanbin He Ping Luo Lei Shen Pingliang Zeng | 2021 | Chinese Journal of Electrical Engineering2021，7，1： | 0 |
| 8 | Distributionally Robust Energy Consumption Scheduling of HVAC Considering the Uncertainty of Outdoor Temperature and Human Activities显示文摘Achieving a low or zero carbon target is to reduce energy demand and improve energy efficiency of electricity consumers.One of the main electricity consumers in power systems is heating,ventilation,and air conditioning systems(HVACs),which cost around 30%of the total usage in commercial buildings.This paper investigates the scheduling problem of HVAC energy consumption taking into account two uncertainties:outdoor temperature and human activities.The distributionally robust optimization approach(DROA)is extended to deal with these two uncertainties which are modeled by the proposed disjointed layered ambiguity sets according to historical data.Based on the proposed DROA method,the distributionally robust chance constraints(DRCCs)will be formulated as a nonlinear optimization problem,converted into a linear optimization problem using duality theorem and solved using SeDuMi solver.Simulation results are used to compare with existing methods,which shows the proposed DROA can decrease 2.81%and 0.14%of the electricity cost in comparison with traditional RO method and DROA based on a nest layered ambiguity set,respectively.Also,the proposed DROA decreases the number and maximum of violations from the comfort level of users.The multi-zone HVAC system model is used in the case study to verify the proposed DROA with the disjointed ambiguity set.The consecutive simulation results illustrate the proposed DROA approach can provide stable performance in a three-day scheduling period. | Yingjie Wang Qi Zeng Zhongbei Tian Yuefang Du Pingliang Zeng Lin Jiang | 2023 | CSEE Journal of Power and Energy Systems2023，9，3： | 0 |
| 9 | Optimal Operation of Flexible Distribution Networks for Security Improvement Considering Active Management显示文摘This paper presents a stochastic optimal operation problem of gas turbine integrated distribution networks in the presence of active management schemes,which is formulated as a multi-objective chance-constrained mixed integer nonlinear programming problem.The control variables are the on-load tap-changer tap position,the power provided by the distributed generation(DG),the DG power factor angle,the load participating in demand side management and the switch status.The objectives defined in this paper are to simultaneously minimize the expectation cost and variation coefficient of security distance.Uncertainties related to DG output and load fluctuation and fault power restoration under contingencies are also considered in the optimization problem.The collaboration of normal boundary intersection and the dynamic niche differential evolution algorithm is proposed to handle the optimal operation mode.Simulation results are presented and demonstrate the effectiveness of the proposed model.Compared with the operation result without the consideration of security,the security-constrained operation can reduce the expectation cost.Therefore,the proposed optimization is reasonable and valuable. | Jia Liu Pingliang Zeng Hao Xing Yalou Li Qiuwei Wu | 2023 | CSEE Journal of Power and Energy Systems2023，9，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员