It is a significant and challenging problem to coordinate multiple microgrids (MMGs) belonging different entities achieve their excellent energy-sharing performance ensure the stability of electricity markets. This article studies grid-oriented energy bidding for MMGs with peer-to-peer (P2P) trading under uncertainty. A stochastic Cartel game (SCG) based strategy developed. nonlinear programming model formulated characterize joint bidding, production, P2P transactions while minimizing total...

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,...

Along with the increasing penetration of photovoltaic (PV) power generation, regional forecasting becomes more and critical for stable economical operation system. The key challenge PV technology is lack complete accurate historical data since not all plants are equipped precise real-time output monitoring Besides, computation burden will be heavy when number in target region large. This paper therefore proposes an upscaling minute-level scheme using selected reference plants. In this paper,...

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 traditional hierarchical scheduling and operational model of transmission distribution networks has failed to fully utilize the adjustable resources entire grid, consequently limiting integration renewable energy. To excavate potential (T&D) coordination in enhancing level energy assimilation efficiency, this paper, grid network framework synergetic unit commitment (TDS-UC) considering dynamic characteristics electricity-gas-heat integrated system is proposed. developed paper allows for...

Finding a global optimal solution to the distribution network reconfiguration (DNR) problem in short time is challenging task. This study proposes real‐time online data‐driven DNR (3DNR) method. Power loss minimisation, lowest bus voltage maximisation and reliability are taken as objectives. First, this study, methodology combining heuristic algorithm metaheuristic solve proposed. Then set of data that satisfies drive model requirements obtained. Next, improved convolution neural used train...

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...

Abstract When the correlation of wind power output among farms is not considered, integrated stochastic characteristics will be captured accurately. Using this inaccurate feature may lead to an impractical even a failing result unit commitment (UC). Therefore, paper proposes multiple correlations model for forecast errors (WPFEs), and capture in UC problem, two‐stage chance‐constrained interval (CIUC) proposed. First, analytical expression correlations, including spatial, temporal...

With the integration of huge renewable energy sources (RESs) into active distribution networks, how to address uncertainty outputs RESs for day-ahead volt/var control (VVC) is a significant challenge. This paper presents chance constrained mixed integer second order cone model handle nodal power uncertainties and nonlinear branch flow equations. A direct fast scenario generation method proposed by employing group division seven-step probability outputs. An efficient accurate solution which...

We develop an iterative multiuser receiver for decoding turbo-coded synchronous code-division multiple-access signals in both Gaussian and non-Gaussian noise. A soft-input soft-output nonlinear detector is combined with a set of single-user channel decoders detection/decoding structure. The utilizes the prior probabilities each user's bits to form soft estimates used interference cancellation. perform turbo-code produce posterior which are fed back use as probabilities. Simulation results...

Demand response (DR) is important to account for behaviors of the demand side yield an optimal dispatch result. However, it difficult energy suppliers collect customers' private information unless there incentive mechanism customers do so. Therefore, this paper proposes a new integrated generation–consumption based on compensation considering DR behavior. Firstly, in light day-ahead load forecast data, we deduce utility function model different customers. By subtracting generating units'...

The combination of turbo codes and space-time block is studied for use in CDMA systems. Each user's data are first encoded by a code. coded next sent to encoder which employs BPSK constellation. output symbols transmitted through the fading channel using multiple antennas. A multistage receiver proposed nonlinear MMSE estimation parallel interference cancellation scheme. Simulations show that with reasonable levels access (p/spl les/0.3), near single user performance achieved. structure...

To address the uncertainty in photovoltaic (PV) outputs for day-ahead home energy scheduling hourly timescale, a novel stochastic optimization strategy based data-driven method is proposed. Based on available historical PV outputs, Gaussian mixture model (GMM) algorithm combined with improved prediction strength of clustering applied to establish forecasted probabilistic model. seven-step approximation distribution, only larger probability level at each hour are used generate scenarios. 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...