This paper describes a fully distributed power dispatch method that can achieve fast frequency recovery and minimal generation cost for autonomous microgrids. The is comprised of two stages. In the first stage, subgradient-based consensus algorithm used to recover frequency. equal increment rate criteria incorporated into this regulating cost, obtained by economically distributing among energy resources. Control signals updated with latest local measurements are executed in each iteration...

With the rapid growth of wind power penetration, system operators are required to enforce grid codes that implement frequency regulation farms. This paper presents a distributed cooperation framework for doubly fed induction generator based farm participate in primary regulation, including imitated inertia and droop characteristics similar conventional plants. Compared with centralized schemes, control efficiency is significantly improved. To realize fast coordination optimal distribution...

Compared with a power system under centralized control, fully distributed control has stronger interdependence between its physical side and cyber side. Such is typical cyber-physical (CPS). The time delay problem one of the most critical issues in application for systems. First, information flow model established considering multiple sources delay, especially communication neighboring agents. Second, combining dynamics systems, general time-delayed CPS proposed, inverter-based microgrids....

This paper proposes a fully distributed control method for dc microgrids to realize power balance and bus voltage recovery without central coordination. Based on peer-to-peer communication, generators energy storage systems need only exchange information between neighbors over sparse communication network, hence there is minimal burden. By combining the equal increment rate criteria subgradient algorithm, this can efficiently regulate nominal value with minimum generation cost. In addition,...

High-precision day-ahead short-term photovoltaic (PV) output forecasting is essential in PV integration to the smart distribution networks and multi-energy system, provides foundation for security, stability, economic operation of systems. This paper proposes a hybrid model based on principal component analysis, grey wolf optimization generalized regression neural network (PCA-GWO-GRNN) forecasting, considering features multiple influencing factors strong uncertainty. first uses PCA reduce...

There are some technical challenges associated with the traditional droop control method in microgrids, as it is sensitive to measurement errors and not economical respect power sharing. In this paper, a distributed quasi-Newton for droop-free primary frequency without central coordination presented. Based on peer-to-peer communication, each resource exchanges limited information its neighbors over sparse communication network. The proposed Newton method, which second order stabilizes faster...

The high-precision parameters in distribution networks are difficult to obtain, which brings difficulties the model-based methods and analysis. With widespread deployment of measurement units, data-driven have greater advantages practice. In addition, with massive integration distributed renewable generation fast electric vehicle chargers, fluctuations net load increase significantly. power flow calculation method based on linear model becomes obtain accurate results for low nonlinear...

With the rapid growth of wind power penetration in grid, system operators need to implement grid specification farm participating primary frequency regulation (PFR). In this paper, a double-layer control framework based on permanent magnet synchronous generator (PMSG) is proposed, which can simulate inertia and droop characteristics similar thermal units. The top-layer adopts centralized model predictive (MPC), while bottom layer carries out distributed real-time correction case inaccurate...

This paper mainly focuses on transient stability issue of phase-locked-loop synchronization (PLL-Syn) in a weak-grid connected VSC (WG-VSC) system. First, the linear matrix inequality (LMI) optimization method has been applied to construct largest estimated domain attraction (LEDA) WG-VSC system for first time. Compared with frequently-used methods such as direct energy function method, Takagi-Sugeno (TS) and Sum-of-Square Programming (SOS) proposed lowest conservation constructing LEDA....

A rapidly growing amount of small-scale distributed energy resources (DERs) integrated into distribution systems call for an effective electricity market to manage the uncertainty DERs and remove barriers participation in wholesale markets. To this end, paper proposes uncertainty-aware locational marginal pricing (DLMP) mechanism based on robust optimization day-ahead markets within a transmission-distribution coordinated framework. The transmission-level model clears forms transmission...

Solar power generation is exhibiting a distributed development trend, and has changed conventional characteristics of supply consumption. The integration large-scale photovoltaic (PV) forms high-penetration PV clusters in distribution networks, which aims to organize control geographically scattered resources. However, due the inherent uncertainty, are suffering from random disturbances serious voltage risks. Besides, integrating system via electronic interfaces, usually tracks frequency...

Renewable energy generation exhibits a distributed development trend, and has changed the way distribution networks operated. Due to integration of large‐scale photovoltaic (PV) cluster access electronic devices, are suffering from more serious voltage risks. By using appropriate methods, PV inverters can autonomously regulate reactive power output in manner improve profile networks. In this paper, Newton‐based control method for is presented realize coordination inverters, which based on...

Short-term load forecasting of regional distribution network is the key to economic operation smart systems, which not only requires high accuracy and fast calculation speed, but also has a diversity influential factors strong randomness. This paper proposes short-term model for combining maximum information coefficient, factor analysis, gray wolf optimization, generalized regression neural (MIC-FA-GWO-GRNN). To screen decrease dimension multiple-input features model, MIC first used quantify...

Compared with a power system under centralized control, fully distributed control has stronger interdependence between its physical side and cyber side. Such is typical cyber-physical (CPS). The time delay problem one of the most critical issues in application for systems. First, information flow model established considering multiple sources delay, especially communication neighboring agents. Second, combining dynamics systems, general time-delayed CPS proposed, inverter-based microgrids....

With large-scale distributed photovoltaics (PVs) being integrated into distribution networks (DNs), coordinated optimal power flow (OPF) of high voltage (HV) and medium (MV) DNs should be investigated to optimally dispatch the PVs other network devices. This paper presents a hierarchical OPF method for HV MV with on-load tap changers, reactive compensators, feeder switches PVs. A master-slave control architecture is applied implement two-layer DNs. The master problem subproblems are...

Large-scale integration of renewable generation has changed the way that distribution networks are operated, posing significant challenges to voltage control. To address this challenge, system operators need exploit potential inverter-based for reactive power regulation. However, network parameters usually inaccurate or incomplete, making conventional centralized model-dependent distributed control methods difficult fast tracking and optimal distribution. This paper proposes a model-free...