A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of causes operating pressure and additional expense in maintaining stable operation by management microgrid. The structure multi-microgrids provides possibility construct flexible various trading framework. In this paper, order reduce adverse effects uncertain output, distributed robust model predictive control (DRMPC)-based strategy proposed for...

In this paper, an islanded medium-voltage (MV) microgrid placed in Dongao Island is presented, which integrates renewable-energy-based distributed generations (DGs), energy storage system (ESS), and local loads. isolated without connection to the main grid support frequency, it more complex control manage. Thus, order maintain frequency stability multiple time scales, a hierarchical strategy proposed. The proposed architecture divides three zones: (A) stable zone, (B) precautionary (C)...

As the penetration of photovoltaic (PV) generation increases, there is a growing operational demand on PV systems to participate in microgrid frequency regulation. It expected that future distribution will consist multiple clusters. However, interconnecting microgrids may lead system interactions and instability. To date, no research work has been done analyze dynamic behavior enhance stability clusters considering dynamics primary sources dc links. fill this gap, paper presents...

The multimicrogrids (MMGs) system of the island group is geographically dispersed with different ownership. In this article, a control strategy based on distributed model predictive proposed to optimize economic scheduling MMGs an group. designed dynamic noncooperative game theory regulate trading behavior among microgrids (MGs) belonging owners. mechanism maximizes benefits MGs under premise ensuring closed-loop stability single MG system. Only minimum amount communication information...

With the decreasing reserves of fossil energy and increasing capacity renewable generation, scale microgrid based on distributed generations is expanding. However, more operation data transaction information microgrids will also bring several problems: sufficient server in central management needed, crises trust among members, transparency confidentiality storage. In this paper, blockchain technology used to deal with these problems as storage technology. A double-layer framework...

Multi-microgrids (MMGs) provide an effective modality to integrate high-penetration renewable energy as well other distributed sources. However, the inherent uncertainties from nature and load demand significantly impact secure operation of MMGs system. Considering these challenges, this paper proposes a novel intraday robust management framework based on dynamic tube model predictive control (DD-TMPC) method for autonomous multi-microgrids, which has less conservativeness more economic...

Accurate load forecasting is essential to the operation and planning of power systems electricity markets. In this paper, an ensemble radial basis function neural networks (RBFNNs) proposed which trained by minimizing localized generalization error for short-term mid-term forecasting. Exogenous features extracted from series (with long memory multi-resolution wavelet transform) in various timescales are used train RBFNNs. Multiple RBFNNs fused as model with high capability using a weighted...

This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the market, vehicle users submit their bidding price to participate in double auction mechanism. Subsequently, smart match will be conducted by charging system operator, meet both personal interests social benefits. After clearing result, operator uploads contract made market blockchain. checks status submits updated results encourages participants...

As wind power generation transits from centralized development mode to decentralized on-site consumption mode, microgrid (MG) can provide an efficient solution for integration into the distribution network. However, high-penetration MG is typical weak grid system. The traditional turbine generator (WTG) participates in system frequency regulation through grid-following current source, which relies on phase-locked loop voltage phase synchronization and unable strong support conditions. To...

With the large-scale integration of wind power, frequency stability power system is facing a significant challenge due to generation typically operating in maximum point tracking (MPPT) mode. Traditional support control methods for turbines (WTs) do not consider state WTs and changes simultaneously. This article proposes fuzzy adaptive strategy with improved rotor speed recovery. Based on logic control, proportional gain adaptively adjusted using deviation grid frequency. It can fully...

With the rapid promotion of photovoltaic (PV) power generation, local consumption distributed PV generation at medium and low voltage levels widely forms PV-based microgrids. The continuous increase in penetration rate uncertain requires it to actively participate frequency regulation weak microgrid systems. Finite control set-model predictive (FCS-MPC) for source converter (VSC) shows remarkable advantages fast dynamic response robustness compared with traditional cascaded linear methods....

Multi-microgrids (MMGs) provide an effective solution for further improving the overall economy and ensuring resilience under major disasters, while high penetration level of renewable energy generations inevitably brings adverse oscillation problems to system. So far, no comprehensive study has been carried out assess interaction oscillatory stability autonomous wind-solar hybrid MMGs. Besides, feasible method giving consideration coordinated control simple communication architecture...

In this article, a modified decentralized finite control set model predictive (FCS-MPC) scheme for the distributed energy resources (DERs) is proposed to improve power management quality of prosumers integrated microgrids under condition harmonic and unbalance loads. The strategy mainly consists droop controller, controller delay compensation, feedback correction compensation mechanism. method used correct which effectively reduces average switching frequency (ASF) voltage total distortion...

Internet data centers are growing rapidly in recent years and they operate with intensive energy activity. Combined cooling, heating power (CCHP) brings new opportunities for reducing the electricity cost internet centers. The main objective of this study is to optimize resources scheduling center coupled nets considering involvement CCHP different demand response techniques. In paper, proposed, where grid, solar photovoltaic, CCHP, battery storage systems primary sources. adjunct...

Ground faults can be caused by the abnormal grounding of several different modules in electrical traction drive system, leading to vulnerable train operation. Therefore, rapid and accurate diagnosis ground is great significance improve safety reliability electric locomotives multiple units. This article proposes a mechanism data hybrid-driven method diagnose faults. First, according fault analysis, characteristic variables are constructed features extracted using signals selected from...

The integration of a large number renewable energy sources (RES) into the micro-energy grid (MEG) brings certain challenges to its optimal dispatching, especially impact RES and load prediction error on dispatching. Therefore, this article proposes multi-timescale coordinated optimization framework for economic dispatch MEG considering error, including three stages: day-ahead dispatch, intra-day rolling real-time adjustment. In stages, device's output is solved with objective system economy....

In the electricity market environment, regional integrated energy system (RIES) can reduce total operation cost by participating in transactions. However, RIES will face risk of load and price uncertainties, which may make its higher than expected. This paper proposes a method to optimize environment considering uncertainty. Firstly, based on structure flow relationship is analyzed, model built. Then, purchase costs medium- long-term markets, spot market, retail are analyzed. Finally,...

The continuous growth of wind power requires greater system operational flexibility owing to the variability and uncertainty generation. Retrofitting existing coal-fired units is a demonstrated cost-effective method for improving flexibility. This study proposes decision support tool that provides optimal investment decisions enhance A novel retrofit planning (FRP) model proposed in which embedded problem stochastic mixed-integer nonlinear programming (SMINLP) unit commitment problem. In...