Modelling and analysis of radial distribution network with high penetration of renewable energy considering the time series characteristics

Liu, Jiayan; Zhou, Yang; Li, Yong; Lin, Gang; Zu, Wenjing; Cao, Yijia; Qiao, Xuebo; Sun, Chong bo; Cao, Yi; Rehtanz, Christian

doi:10.1049/iet-gtd.2019.1874

Cited by 16 publications

(11 citation statements)

References 26 publications

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“…and defined in (1). Each row in the matrix represents a sample, and each column represents the value of the same variable in different samples.…”

Section: A Conditional Copula Functionmentioning

confidence: 99%

“…Under the framework of co-scheduling between transmission and distribution networks, the optimization objectives of the local dispatching layer are as follows: (1) to maximize the income of the local dispatching layer, i.e., to maximize the wind power dissipation, and (2) to reduce the output fluctuation of renewable energy during the scheduling cycle. On the basis of establishing the joint optimization model of wind turbine and energy storage, the uncertainty of wind turbine is brought into the optimization objective function.…”

Section: A Local Optimization Scheduling Modelmentioning

confidence: 99%

“…Many countries have drawn up long-term renewable energy development plans in an effort to achieve carbon peaking and carbon neutralization at an early date. However, the great randomness and large volatility produced by the high penetration of renewable energy in the power grid bring serious challenges to the power grid [1], [2], and how to fully consider the randomness and volatility of renewable energy has become a key problem to be solved [3].…”

Section: Introductionmentioning

confidence: 99%

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A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

Shan

Xue

2022

IEEE Access

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The great uncertainty caused by the high penetration of renewable energy brings severe challenges to the economic dispatch of transmission systems. In this study, a day-ahead economic dispatch model is proposed. The model is based on the coordination framework of transmission and distribution, and it fully considers the response potential of the distribution network. The scenario generation method based on the Copula function is used to describe the uncertainty of the energy output of renewable energy sources such as wind power, and then, the response potential of the distribution network is analyzed. A day-ahead economic scheduling framework for transmission and distribution coordination is proposed, which is solved by a deep reinforcement learning algorithm. Finally, the effectiveness of the proposed method is verified through application to the IEEE 6-bus transmission network and the IEEE 7-bus distribution network. INDEX TERMSThe high penetration of renewable energy; a day-ahead economic dispatch model, transmission and distribution; response potential; deep reinforcement learning

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“…and defined in (1). Each row in the matrix represents a sample, and each column represents the value of the same variable in different samples.…”

Section: A Conditional Copula Functionmentioning

confidence: 99%

Section: A Local Optimization Scheduling Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

Shan

Xue

2022

IEEE Access

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“…With the development of low-carbon generation technologies [1][2][3], the power grid is gradually evolving into a renewabledominated power system (RDPS) with renewable energy as the primary power source. The rollout of the RDPS must address the impact of a variable operation mode on the generation side and multiple energy sources and loads on the demand side [4,5], which may increase the valley-to-peak load difference or the peaks and valleys number in the RDPS net demand. These increases may lead to rapid increases in the peak regulation magnitude, frequency, duration, and other indicators of the power grid, placing higher requirements on the power grid's peak shaving capacity (PSC) [6].…”

Section: Introductionmentioning

confidence: 99%

Capacity evaluation of central air conditioning load participating in peak shaving of renewable dominated power systems

Zhang

Tang

et al. 2022

IET Generation Trans & Dist

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The development of renewable‐dominated power systems (RDPS) in the context of pursuing deep decarbonisation targets necessitates suitable exploitation of the peak shaving capacity (PSC) of central air conditioning loads (CACL) in multiple time scales. Based on the evaluation framework of CACL participating in the RDPS PSC and the CAC apparent temperature model and its operation mode, the CACL PSC evaluation model related to the resource allocation in multiple time scales is proposed. For the time scale of online dispatching, the capacity evaluation model for rapid CACL response to power system emergency peak shaving command and its continuous response potential is constructed. The method of optimising CACL PSC based on the load aggregator model is developed. For the intraday pre‐scheduling time scale, the evaluation model of CACL's remaining capacity after undertaking the peak shaving task and the ability to respond continuously to the peak shaving command is constructed. For the day‐ahead dispatching time scale, the PSC of CACL under different weather conditions, temperatures, holidays, and other typical scenarios is evaluated. Finally, case studies carried out on 14 central air‐conditioned buildings in Shanghai city comprehensively validate the effectiveness of the proposed CACL PSC evaluation model.

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“…With the awakening of energy crisis and environmental awareness, more and more renewable generation is connected to the distribution network [1]. It is found that the multienergy systems (MESs) which integrate multiple energy carriers and provide various energy services can further develop complementary advantages (e.g.…”

Section: Introductionmentioning

confidence: 99%

Optimal Collaborative Expansion Planning of Integrated Cooling and Power System for Low-Latitude Distribution Networks

et al. 2021

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In low latitudes, ice storage air conditioners (ISACs) have been widely used to cool while locally responding to the distribution network demand. However, due to the lack of the direct cold energy exchange between ISACs, the cooling load could only be shifted on the time scale instead of the space scale, resulting in an unsatisfactory regulation result. To address the above problem, this paper proposes a novel collaborative expansion planning scheme for integrated cooling and power system. Firstly, to increase the regulation flexibility, a novel cold energy supply system is designed, where ice making stations and trucks are used to produce and deliver ices to multiple terminal ISACs. On this basis, taking the capacity of the wind turbines (WTs), large ice makers (LIMs), and trucks as configuration decisions, an optimal expansion planning model is established considering wind generation uncertainties. This model is converted into a classic mixed-integer second-order cone programming (MISCP) problem using linear techniques, and efficiently solved by the Benders decomposition method. Finally, Shapley value method in economics is used to fairly distribute the revenues between the grid operator and ISAC owners. Simulation studies on IEEE 14-node distribution network indicate the proposed expansion model is effective and beneficial.INDEX TERMS Low-latitude distribution network, ice storage air conditioners, expansion planning, integrated cooling and power system, Shapley value method, Benders decomposition method.

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Modelling and analysis of radial distribution network with high penetration of renewable energy considering the time series characteristics

Cited by 16 publications

References 26 publications

A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

Capacity evaluation of central air conditioning load participating in peak shaving of renewable dominated power systems

Optimal Collaborative Expansion Planning of Integrated Cooling and Power System for Low-Latitude Distribution Networks

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