Review on optimal planning of new power systems with distributed generations and electric vehicles

Yang, Zhichun; Yang, Fan; Min, Huaidong; Tian, Hao; Hu, Wei; Liu, Jian

doi:10.1016/j.egyr.2022.11.168

Cited by 38 publications

(11 citation statements)

References 24 publications

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“…Today, with the wide access of distributed energy sources, active power becomes the key to influence its voltage level and tidal current distribution [14] , therefore, this paper mainly considers the active output of electric vehicle aggregators in the microgrid system. The literature [15] clarifies that with the widespread access to distributed generation and EVs, it has led to significant changes in the structure, function and operational characteristics of the grid, and proposes a control and management approach for distributed generation and EVs by the power system operator. The literature [16][17] improves the reliability of power reserves by guiding EV charging and discharging behaviour through peak and valley tariffs as well as dynamic tariffs to achieve the ability to provide backup to the system, but the reliability of EV participation in V2G is not mentioned in the paper.…”

Section: Study On Voltage Coordination Optimization Of Microgrid With...mentioning

confidence: 99%

Study on voltage coordination optimization of microgrid with electric vehicle load response

Luo

Ren

Xin³

et al. 2023

Preprint

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The aggregation of the remaining battery capacity of EVs can be used as distributed energy storage to participate in electricity market auxiliary services in the form of V2G, however, their reliability is affected by the uncertainty of EV travel. In this paper, we consider the uncertainty of EV load response and propose a resolution method for quantifying the reliability of EV aggregation capacity in the day-ahead market. The paper first classifies EV users by analyzing historical charging data. Secondly, based on the composite Poisson process, the V2G capacity and reliability model for the aggregator’s participation in the day-ahead auxiliary service bidding are proposed and validated using actual data. Based on this model, aggregators can decide the power of V2G bidding for any time slot on day t+1 according to the reliability requirements of the standby market for the standby capacity contracted before that day. Finally, this paper organically combines PV and EV aggregators in the microgrid and uses genetic algorithms to optimize the simulation of the microgrid voltage operation state under different scenarios in the IEEE 33-node system. The results show the effectiveness of the coordinated optimization scheme of PV and EV clusters for the optimization of microgrid voltage.

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Section: Study On Voltage Coordination Optimization Of Microgrid With...mentioning

confidence: 99%

Study on voltage coordination optimization of microgrid with electric vehicle load response

Luo

Ren

Xin³

et al. 2023

Preprint

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“…In response to the renewable energy security strategy and the 30•60 carbon neutral climate response goals, China's power supply structure will shift from thermal power dominated by controllable continuous output to new energy power generation dominated by strong uncertainty and weak controllability. The proportion of new energy is increasing, and both sides of the source-load of the new power system show strong uncertainty and spatio-temporal coupling [1,2], and it is not economical and technically feasible to rely only on conventional power sources to provide flexibility. In order to achieve the green and low-carbon transformation of China's power system, it is necessary to build the structural form and balancing mechanism of the new power system by building energy storage devices and transforming thermal power with flexibility starting from the planning stage [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Multi‐timescale synergistic planning for flexible regulation of thermal power to support wind‐photovoltaic‐storage

Fan,

Li,

Jia

et al. 2024

IET Renewable Power Gen

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With the proposed goal of 30•60 carbon peak and carbon neutrality, the proportion of new energy continues to increase, the proportion of conventional power supply capacity continues to decrease, and the flexibility demand of the existing power system continues to increase and the flexibility adjustment ability is insufficient. Therefore, a medium and long term planning method is proposed to flexibly adjust the multi‐time scale coordination of thermal power support wind and solar storage. Considering the long‐term investment decision and the short and medium term operation simulation, the flexible transformation cost and the penalty cost of insufficient flexibility of thermal power units are included in the planning objective, and a multi‐time scale coordinated planning model is established with wind power as the main power source and thermal power and hydrogen energy storage as the auxiliary power source. Through the multi‐stage cycle iteration of investment decision model, medium and long term production simulation and typical daily operation simulation, the flexible transformation resources of wind and solar fire storage and thermal power are optimized. Finally, a provincial power grid in northeast China is taken as an example to verify that hydrogen energy storage equipment assisting thermal power unit flexibility transformation can better support load fluctuation and large‐scale new energy access in new power systems.

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“…In order to build the new-type power system adapted to the high penetration of new energy, and to promote the low-carbon transformation of the energy consumption, the new operation mode oriented by scaled distributed photovoltaic and distributed wind turbine access to distribution network has emerged [1][2]. Distributed generation provides an important role for realizing sustainable energy development and constructing reliable and sustainable new-type power system, by virtue of its advantages of improving energy utilization efficiency, reducing energy transmission loss, and lowering environment pollution, etc., and has become a new trend of energy substitution and development for all countries in the world [3][4].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Coordinated Control Strategy for Active Power in Distribution Networks with Scaled Distributed Generation Access

Xiaoming Zhang

2024

jes

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Promoting scaled distributed wind turbines and photovoltaic, and other distributed generations access to the distribution network is an important measure for realize the goal of carbon peaking and carbon neutrality and to build new-type power systems. However, as the installed capacity of wind turbine, photovoltaic and other intermittent renewable energy sources climbs dramatically, the security and consumption problems of the distribution network are becoming increasingly prominent, and there is an urgent requirement to improve the active power control capability of distributed generation. To optimize the operation stability and consumption economy of the distribution network, a hierarchical coordinated control strategy for active power of scaled distributed generation is proposed based on the principle of unified control and hierarchical management, including peaking control, frequency control, mesh control and market trading control, to coordinate and optimize the system operation safety and consumption economy. The proposed strategy optimizes active power control instructions in the layer of distribution network layer, mesh layer, and functional area layer, thus fully expanding the depth and breadth of the consumption for distributed generation. The effectiveness of the proposed strategy is proved by the actual operation of Liaoning power grid.

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Review on optimal planning of new power systems with distributed generations and electric vehicles

Cited by 38 publications

References 24 publications

Study on voltage coordination optimization of microgrid with electric vehicle load response

Study on voltage coordination optimization of microgrid with electric vehicle load response

Multi‐timescale synergistic planning for flexible regulation of thermal power to support wind‐photovoltaic‐storage

Hierarchical Coordinated Control Strategy for Active Power in Distribution Networks with Scaled Distributed Generation Access

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