An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation

Wen, Juan; Qu, Xiaoyan; Lin, Shih-Yang; Dong, Lin; Jiang, Lin

doi:10.1155/2022/5771094

Cited by 3 publications

(1 citation statement)

References 44 publications

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“…Te loss minimization in the planning framework has been dealt with the optimal PV system and voltage regulation device coordination in [29]. Te inclusion of optimally located renewable energy sources can be used as an advantage both in terms of reducing power losses and improving voltages [30][31][32][33]. When the variability of demand is superimposed on the variability of output power intermittent renewable generation, the optimal placement of these units in the distribution system becomes a challenge optimization problem [34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current

Barutcu

2023

International Transactions on Electrical Energy Systems

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Changes are emerging that will significantly alter structure and operation of this century’s distribution networks, and photovoltaic (PV) systems will play greater role in energy sector, with implications for power system reliability. Considering uncertainties in solar irradiance and electrical loads and incorporating them into the optimization problem within an appropriate methodology is becoming increasingly important in reshaping distribution networks. In this paper, uncertainty scenarios are handled with Monte Carlo Simulation (MCS) under genetic algorithm (GA) and differential evolution- (DE-) based optimization, and probability distribution functions (pdf) of bus voltages and line current are obtained to be used in chance-constrained stochastic programming. This present study focuses on investigating impact of uncertainties in PV system operating under different irradiance scenarios on power loss with probabilistic constraints in distribution networks instead of precise deterministic limits to contribute more efficient and reliable use of energy. By combining meta-heuristic optimization and MCS technique under one framework, this paper contributes to knowledge base of how to allocate PV plants within distribution networks under chance-constrained strategy. In order to show the effectiveness of the proposed methodology, obtained optimization results are tested using MCS under set of uncertainty conditions and network constraints are evaluated for limit violation probabilities. The effectiveness of this method is investigated based on comparative results of two different optimization methods through probabilistic analysis and simulation.

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Section: Introductionmentioning

confidence: 99%

Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current

Barutcu

2023

International Transactions on Electrical Energy Systems

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A novel fault location method for the active distribution network based on dynamic quantum genetic algorithm

Wen,

Qu,

Liu

et al. 2024

Electr Eng

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The fault location of an active distribution network is a vital analysis to prevent major outages in the power system. Considering the influence of renewable distributed generations on fault characteristics, this paper proposes a novel location method based on a dynamic quantum genetic algorithm to solve for fault locations in active distribution networks. In the method, the fault current code is measured based on feeder terminal units. A universal switching function is presented to convert the feeder switch status into an uploaded fault current code. The fault location model is defined as an optimization problem that presents the evaluation objective function with an anti-false-positive factor. The dynamic quantum genetic algorithm is developed to locate the fault feeder according to the uploaded fault current code of the feeder terminal unit. The algorithm adopts dynamic rotating gate strategy and adaptive quantum crossover strategy to satisfy the requirements of quickness and accuracy for fault location. Moreover, the method avoids easily falling into a local optimum by integrating the discrete quantum mutation. The proposed fault location technique is tested and compared to other existing techniques on a 33-bus active distribution network. The simulation results show that the proposed fault location method can locate fault feeders accurately with fast computational times under conditions of single or multiple faults and with an information distortion of the feeder terminal unit.

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Multi-objective cooperative optimization of communication base station and active distribution grid under dual carbon targets

Zhao,

Xing,

Wang

et al. 2024

Sci. Tech. Energ. Transition

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To achieve "carbon peaking" and "carbon neutralization", the access of large-scale 5G communication base stations brings new challenges to the optimal operation of new power systems, but also provides new opportunities for the low-carbon development of distribution networks. This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and active distribution network (ADN), constructs a description model for the operational flexibility of 5G communication base station. Based on this, a multi-objective cooperative optimization 5G communication base station operating model and active distribution network considering the system operation economy and minimum carbon emissions as the optimization objectives are established. In the above model, by encouraging 5G communication base stations to engage in demand response (DR), the renewable energy sources (RES) and 5G communication base stations in ADN are concurrently scheduled, and the uncertainty of RES and communication load is described by using interval optimization method. Finally, the problem is solved by combining the equivalent transformation based on interval analysis and the non dominated sorting genetic algorithm. The analysis results of the example show that participation in grid side dispatching through the flexible response capability of 5G communication base stations can enhance the power system's renewable energy consumption and usage efficiency, resulting in significant low-carbon benefits.

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An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation

Cited by 3 publications

References 44 publications

Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current

Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current

A novel fault location method for the active distribution network based on dynamic quantum genetic algorithm

Multi-objective cooperative optimization of communication base station and active distribution grid under dual carbon targets

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