In this letter, a novel autonomous control framework “Grid Mind” is proposed for the secure operation of power grids based on cutting-edge artificial intelligence (AI) technologies. The platform provides data-driven, model-free and closed-loop agent trained using deep reinforcement learning (DRL) algorithms by interacting with massive simulations and/or real environment grid. learns from scratch to master grid voltage problem purely data. It can make (AVC) strategies support operators in...

Green space plays an important role in sustainable urban development and ecology by virtue of multiple environmental, recreational, economic benefits. Constructing effective harmonious ecological network maintaining a living environment response to rapid urbanization are the key issues required be resolved landscape planners. In this paper, Nanchang City, China was selected as study area. Based on series metrics, pattern analysis current (in 2005) planned 2020) green system were,...

Short‐term voltage stability (SVS) is a serious issue in modern power systems. In China, the East China Power Network especially vulnerable to short‐term instability due its increasing dependence on electrical from external through high‐voltage direct current (HVDC) transmission lines. To study SVS, criterion/index first required evaluate SVS of However, currently used practical criteria cannot effectively influence controlling strategies (such as regulating dynamic VAR reservation)...

Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over past decades, most them focused on loads at high aggregation levels only. Thus, low-aggregation forecast still requires further research development. Compared with substation or city level loads, individual are typically more volatile much challenging to forecast. To address this issue, paper first discusses characteristics small-and-medium...

Subjective wellbeing is designed to consider positive experiences and be descriptive of an overall assessment rather than focusing on specific or aspects individual's life. The purpose this study investigate the relationships between holding risky financial assets subjective wellbeing. Participation in markets with different risk levels divided into risk-free assets. Holding measured according two sets variables: having a demand deposit certificates deposit. Moreover, also by stocks mutual...

To effectively tackle the operational challenges facing today's bulk power systems with growing uncertainties, this paper presents a novel data-driven method for transient stability assessment of AC/DC hybrid using auto-encoder-based algorithms feature extraction and convolutional deep belief networks Boltzmann machines training accurate robust models. First, set is established from grid states, stack-based noise reduction automatic encoder (SDAE) used to extract key features that...

The stochastic and dynamic nature of renewable energy sources power electronic devices are creating unique challenges for modern systems. One such challenge is that the conventional mathematical systems models-based optimal active dispatch (OAPD) method limited in its ability to handle uncertainties caused by renewables other system contingencies. In this paper, a deep reinforcement learning based (DRL) presented provide near solution OAPD problem without modeling. DRL agent undergoes...

Parameter identification in load models is a critical factor for power system computation, simulation, and prediction, as well stability reliability analysis. Conventional point estimation based composite modeling approaches suffer from disturbances noises, provide limited information of the dynamics. In this work, statistics (Bayesian Estimation) distribution approach proposed both static dynamic models. When dealing with multiple parameters, Gibbs sampling method employed. The samples all...

Maintaining accurate stability models for power system planning and operational analysis is of great importance. Calibrating problematic parameters using PMU measurements that work well multiple events remains a challenging problem. To tackle the known issues, this paper presents novel generalized deep-reinforcement-learning (DRL)-aided platform automated parameter calibration with an adaptive multilayer dueling Deep Q Network (D-DQN) algorithm searches optimal sets simultaneously. This...

The ever-increasing penetration of centralized and distributed renewable energy, power electronics-based transmission equipment loads, advanced protection control systems, storage devices new market rules all contribute to the growing dynamics stochastic behaviors being observed in today's grid operation. Understanding operational risks providing prompt actions are great importance ensure secure economic operation a bulk system. In this paper, novel integrated online dynamic security...

Abstract Distributed photovoltaic(PV) power generation, as a highly flexible renewable energy source, is currently developing rapidly and has been widely used. However, due to its uncertainty randomness, large-scale distributed photovoltaic integration into the distribution network will change flow distribution, which have greater impact on operation quality of operation. In order study influence PV access asymmetry network, this paper builds three-phase model network. Based IEEE33 node...

Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over past decades, most them focused on loads at high aggregation levels only. Thus, low-aggregation forecast still requires further research development. Compared with substation or city level loads, individual are typically more volatile much challenging to forecast. To address this issue, paper first discusses characteristics small-and-medium...

Short-term load forecasting is a critical element of power systems energy management systems. In recent years, probabilistic (PLF) has gained increased attention for its ability to provide uncertainty information that helps improve the reliability and economics system operation performances. This paper proposes two-stage framework by integrating point forecast as key feature into PLF. first stage, all related features are utilized train model also obtain importance. second stage trained,...

The Shanghai-Hong Kong Stock Connect programme provides a perfect experimental setting to test cross-listing theories. Using daily panel data of 54 firms dually listed on the Shanghai A-share and Hong H-share markets from 4 January 2011 29 November 2019, this paper investigates effect A-H premium. results demonstrate that did not narrow valuation gaps, but rather significantly promoted also confirm conventional arguments information asymmetry, demand differential, investors' risk preference...

Switching function is very important for the dynamic phasor model of converters. It used to represent relationship between AC side voltage/current and DC in models The existing switching functions consider no effect commutation failure (CF), which restricts development A method obtain considering effects CF proposed this study. First, following a detailed analysis, two phenomenon are found that: (1) if there only single CF, then corresponding can be calculated through normal three phase...

Accurate identification of parameters load models is essential in power system computations, including simulation, prediction, and stability reliability analysis. Conventional point estimation based composite modeling approaches suffer from disturbances noises provide limited information the dynamics. In this work, a statistic (Bayesian Estimation) distribution approach proposed for both static (ZIP) dynamic (Induction Motor) modeling. When dealing with multiple parameters, Gibbs sampling...

Virtual inertia control of wind turbines can provide frequency regulation for the power grid, which is an effective way to maintain stability system with high penetration renewable generations. The arrangement virtual and tuning controller parameters determine its support effect response, also influence operation mechanical wear turbines. In this paper, selection investigated from level considering disturbances possibility. First, possibility a discussed fluctuations loads. Then, requirement...