Abstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards this, an optimal dispatching model electric‐heat‐hydrogen IES based on Stackelberg game is proposed. First, producer (EP) formulated which considered full utilization hydrogen and involved conversion electricity heat energy. Meanwhile, demand response amount into objective function load aggregator (LA) order encourage consumers adjust their...

Different from individual wind power forecast and regional (RWPF), one of the most significant research articles for alleviating negative influence on systems aims to estimate generation multiple farms in specific region, which is a valuable complement forecast. This article proposes nonparametric probabilistic method RWPF, quantile regression neural network (QRNN), enhancing abilities nonlinear mapping massive data dealing. On this basis, deep proposed improve performance QRNN. In approach,...

The increasing high penetration of wind power will further increase the uncertainty in systems, and three key issues should be addressed: 1) determining maximum accommodation level without sacrificing system reliability; 2) quantifying potential risk when generation realization is beyond prescribed sets; 3) how to reduce loss. Motivated by these, a risk-based two-stage robust unit commitment (RUC) model proposed analyze admissibility power. In this model, electricity storage (ESS) utilized...

The existing meta-heuristic distribution network reconfiguration (DNR) algorithm has excellent optimization ability through iteration. However, it is difficult to realize the large-scale fast calculation and online real-time response of DNR solution. In order improve security low-carbon economy network, this paper proposes a method based on convolutional neural (CNN). Taking IEEE 33 system 185 node as examples, effectiveness proposed verified. reasons why can achieve better results are...

For the improvement of energy efficiency and reduce carbon emissions in Zhejiang province, this paper proposed a spatial prediction model based on industrial distribution consumption levels province. First, grey correlation method is employed to analyze impacts economic level, population size, environmental growth emissions. Secondly, convolutional neural network (CNN) combined with extended attention mechanism (ATT) presented capture fine-grained features processed data, then...

The coupled single-port circuit has been proposed for online voltage stability assessment based on wide-area measurements and grid equations. This can explicitly reflect the influence of load stability. However, it does not consider impact power generation. A novel Thévenin equivalent (TE) considering source-grid-load is in this paper. First, an individual bus divided into three parts according to node-voltage equation. They are then decomposed two components, respectively associated with TE...

Real-time monitoring of the power cable state has tremendous significance for ensuring safe and economic operation mine distribution systems. However, due to harsh conditions underground coal mines, it is difficult system operating in mines carry out large-scale calculations diagnose grounding fault cable. Additionally, there are many types faults, such as single two-phase ground fault. Therefore, how determine type quickly through effective alarms select always a task. In this study, reduce...

The penetration rate of intermittent renewable energy in power system is gradually increasing, which brings challenges to the optimal dispatch system. To solve these problems, a multi-regional interconnected transmission network optimization method based on analytical target cascading proposed. Firstly, reactive regulation characteristics investigated, and models wind turbine photovoltaic generation are established. Secondly, decomposed into multiple sub-systems using bus tearing method, an...

Renewable energy sources such as wind power and photovoltaic are integrated into the system in a high proportion decentralized manner. Driven by factors privacy of interests various sources, efficiency communication computing reliability transaction security, forms managed controlled It makes traditional centralized DC optimal flow difficult to realize. So, based on Lagrangian algorithm improving consistency algorithms, model is proposed. Firstly, calculation methods active power, phase line...

Abstract The characteristics of three‐phase imbalances are present in medium‐ and low‐voltage distribution networks. Integrating single‐phase distributed generation (DG) exacerbates network imbalances, resulting increased power losses potential safety hazards. To address these issues, a dynamic reconfiguration strategy (DNR) for imbalanced networks, considering soft open points (SOP), has been proposed. objective is to alleviate the imbalance minimize operational costs network. Within...

The increasingly high integration of wind power into systems will further increase the uncertainty and make it difficult to calculate requirement reserve. In this article, a risk-based reserve optimization approach is proposed quantitatively evaluate large-scale wind-storage system. Conditional value-at risk (CVaR) adapted managing generation; achieves optimal without sacrificing system reliability. An energy storage (ESS) employed undertake role transfer (RT) by cooperating with generation...

Aiming at the problem that current dynamic economic dispatch (DED) fails to consider response risk of spinning reserve caused by fluctuation and uncertainty wind power, we work out a DED considering time-coupling while stochasticity variability arising from RESs are taken into consideration. The developed framwork unified forced shutdown unit time coupling. expected customer interruption cost (ECOST) abandoned this added objective function. While seeking minimum function, system is...

In view of the fact that renewable energy power generations such as wind and solar have been integrated into system in a high proportion distributed manner, driven by factors privacy security various supply stakeholders, presents decentralized management control situation, making traditional centralized DC optimal flow difficult to achieve. this paper, fully model, its solution method application are proposed. Firstly, based on economic dispatch model consensus algorithm, node phase...

At present, the power supply system of 5G base stations is a micro smart grid, it generally uses 240 V DC with multiple branches, and leakage accidents will threaten personal property safety, so vital to identify fault line accurately remove faults rapidly. In this paper, phenomenon transmission lines in HVDC communication station studied. To address issue multi-branch diagnosis selection system, new distributed insulation monitoring technology are proposed. The used collect current each...

Distributed energy resource (DER) including wind power, solar and storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes have interaction. As a bridge connecting transmission grid (TG) micro (MG), ADN breaks traditional operation pattern of TG+ADN+MG. Considering physical connections shared information among TG, MG, this paper proposes decentralized parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level...

In order to reduce the conservatism of robust optimization method and complexity stochastic enhance ability power systems deal with occasional line fault disturbance, this paper proposes a distributionally unit commitment (DRUC) model concentrating solar (CSP) operational flexibility N-k safety criterion under distributed uncertainty. According limited historical sample data, condition satisfying certain confidence level, based on imprecise Dirichlet (IDM), an ambiguity set is constructed...