The regional integration of variable wind power could be restricted by a strong coupling electric generation dispatch and heat supply combined heat-and-power (CHP) units. in cold seasons precludes CHPs from providing the necessary flexibility for managing dispatch. lack problem can tackled exploiting energy storage capability district heating network (DHN) which decouples linkage supplies. In this paper, (CHPD) is formulated to coordinate operation system (EPS) (DHS). proposed CHPD model...

Wind power integration could be restricted by inflexible operation of combined heat and (CHP) units due to the strong linkage between generation heating supply in winter. Utilization storage capacity existing district network (DHN) is a cost-effective measure enhance system operational flexibility accommodate large amounts variable wind power. In this paper, transmission-constrained unit commitment (UC) with electricity networks (UC-CEHN) formulated linear DHN model coordinate short-term...

This paper presents a fully distributed reactive power optimization algorithm that can obtain the global optimum solution of nonconvex problems for distribution networks (DNs) without requiring central coordinator. Second-order conic relaxation is used to achieve exact convexification. A second-order cone programming solver (D-SOCP) formulated corresponding given division areas based on alternating direction method multipliers (ADMM) algorithm, which greatly simplified by exploiting...

With the recent rapid development of smart grid technology, distribution grids become more active, and interaction between transmission becomes significant. However, in traditional power flow calculations, are separated, which is not suitable for such future grids. To achieve a global unified solution to support an integrated analysis both grids, we propose (GPF) method that considers as whole this paper. We construct GPF equations, develop master-slave-splitting (MSS) iterative with...

Distributed generations (DGs) introduce significant uncertainties to restoration of active distribution networks, in addition roughly estimated load demands. An adjustable robust optimization model with a two-stage objective is proposed this paper, involving the uncertain DG outputs and The first stage generates optimal strategies for recovery outage power second seeks worst-case fluctuation scenarios. formulated as mixed-integer linear programming problem solved using column-and-constraint...

In this paper, we propose a robust real-time wind power dispatch framework for coordinating farms, automatic generation control (AGC) units, and nonAGC which enables farms to operate flexibly using maximum power-point tracking strategies. Robust is formulated as an adjustable optimization model incorporating affinely controlling strategy compatible with AGC systems. The proposed can be equivalently transformed nonlinear programming problem linear constraints via duality. also approximately...

The operational flexibility of electric power systems (EPS) is restricted by combined heat and (CHP) units that act to maintain sufficient heating supply. By exploiting the pipeline storage property in central (CHS), dispatch (CHPD) can significantly increase reduce wind curtailment. In this paper, modeled CHPD model under constant mass flow mode, be formulized as a quadratic programming problem. Since EPS CHS are independently operated operators, decentralized solution proposed. During each...

Online closed-loop hierarchical control systems (HCSs) are widely used in power-system operation. Like typical cyber-physical systems, the contingencies on cyber side of an HCS may lead to inappropriate commands, which will influence physical power system. To evaluate degree these commands system, we propose a equivalent model for HCSs. In this model, network is abstracted directed graph consisting data nodes and branches, connectivity described by using node-branch incidence matrix. Using...

Electric vehicles (EVs) have attracted growing attention in recent years. However, daily charging of EVs, particular rapid charging, may impact power systems, especially during peak hours, and the effects occur different places as traffic conditions change. To address these issues, we describe an integrated rapid-charging navigation strategy that considers both status grid. The system is based on intelligent transport (ITS), contains four modules: a control center (PSCC), ITS center,...

The growing interconnections of regional power systems and the large-scale integration wind energy bring about critical need to coordinate multiarea generation unit tie-line scheduling (MAUTS). It is recognized that because limitations on private data exchange model management, it suitable address problem in a decentralized way. In this paper, MAUTS formulated using adaptive robust optimization (RO) scheme account for uncertain energy. Our decomposed into subproblems by augmented Lagrangian...

The main purpose of the look-ahead dispatch is to manage operational uncertainties over next several hours, with benefits for exploitation renewable energy resources. This paper describes a robust optimization (RO) model wind power dispatch. calculates allowable interval solutions generation and provides optimal economic conventional mitigate uncertainty inherent power. By introducing values as control targets farms, method can reduce curtailment frequency regulation. Interval two-layer RO...

Fluctuations in wind power geographically distributed areas are typically complementary, and therefore a coordinated multi-area dynamic economic dispatch may enable greater penetration interconnected systems. Here we describe decentralized approach based on modified generalized Benders decomposition which locally optimal cost function of each area is introduced. The technique exhibits rapid convergence does not require parameter tuning. It suitable for systems with hierarchical control...

Service restoration is important in distribution networks following an outage. During the process, system operating conditions will fluctuate, including variation of load demand and output from distributed generators (DGs). These variations are hard to be predicted demands roughly estimated because absence real-time measurements, which can significantly affect strategy. In this paper, we report a robust decision-making model based on information gap decision theory, takes into account...

To settle a large-scale integration of renewable distributed generations (DGs), it requires to assess the maximal DG hosting capacity active distribution networks (ADNs). For fully exploiting ability ADNs accommodate DG, this paper proposes robust comprehensive assessment method considering three-phase power flow modelling and network management (ANM) techniques. The two-stage adjustable optimization is employed tackle uncertainties load demands outputs. With our method, system planners can...

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 integration of distributed generation systems, distribution networks and transmission have become more coupled, especially, with respect to voltage problems. This paper presents a decentralized reactive power optimization method for integrated based on generalized Benders decomposition (GBD). The second-order conic programming relaxation technique is used make subproblem (distribution network model) convex, which can guarantee that GBD process converges. An improved iteration...

This paper proposes a data-driven method based on distributionally robust optimization to determine the maximum penetration level of distributed generation (DG) for active distribution networks. In our method, uncertain DG outputs and load demands are formulated as stochastic variables following some ambiguous distributions. addition given expectations variances, polyhedral uncertainty intervals employed construction probability set restrict possible Then, we decide optimal sizes locations...

The branch flow based optimal power flow(OPF) problem in radianlly operated distribution networks can be exactly relazed to a second order cone programming (SOCP) model without considering transformers. However, the introdution of nonlinear transformer models will make OPF non-convex. This paper presents an exact linearized transformer's OLTC keep convex via binary expanstion scheme and big-M method. Validity proposed method is verified using IEEE 33-bus test system.

The uncertainty of wind power generation brings problems in system operation, such as requiring more reserves and possible frequency issues. In this paper, we propose an idea combining concentrating solar (CSP) plants with farms to reduce the overall joint output. Taking advantage dispatchability CSP, is expected decrease. Based on operational model CSP thermal storage system, search for narrowest but robust bounds output a given availability, within constraints plants. problem formulated...

This study presents a comprehensive optimisation model that combines reactive power (VAR) and network reconfiguration to minimise losses eliminate voltage violations. In this model, the of distributed generators (DGs), VAR compensators, position tap‐changer states branches are formulated as continuous discrete decision variables. The original non‐convex three‐phase was converted mixed‐integer second‐order cone programming using relaxation, big‐M method piecewise linearisation. results...

Large-scale wind farms are typically geographically separated from load centers and distributed in different control areas. Therefore, interregional energy dispatch is important for power generation via sharing spinning reserve capacity among interconnected systems. However, existing tie-line scheduling methods China do not provide satisfactory performance accommodating the recent large-scale integration of power. In this paper, we describe a coordination framework to operate multi-area...

Analytical methods for evaluating the reliability of simple and radial distribution networks have been well established. Since these analytical cannot consider post-fault load transfer between feeders, indices are significantly underestimated mesh-constructed networks. To accommodate various application scenarios, Monte-Carlo simulations widely used complex heavy computation burden is involved. In this paper, we propose a novel linear programming model which includes precisely assessing...

To accommodate large-scale integration of renewable generation, look-ahead power dispatch, which is essentially a type dynamic economic dispatch (DED), widely used in system operation. DED can be reduced to two-stage dual problem via Lagrangian relaxation. The major challenge solving this robustly and efficiently the multiplier updating strategy. solve problems quadratic DEDs, This work proposes based on quasi-Newton method, together with an initialization strategy for multipliers...

The Energy Internet (EI), an interlocked combination of energy systems and the Internet, is emerging concept that embodies contours next-generation system. EI a new ecosystem with better interconnectedness, openness, flexibility, aiming to accommodate deep-penetration, clean energies; improve efficiency; create novel sharing economy significantly reduce cost consumption.

This letter presents a mixed integer quadratic programming (MIQP) based topology identification model, which is suitable for radially operated distribution networks. approach finds the configuration with weighted least square (WLS) of measurement residues. Validity proposed method demonstrated using an IEEE 33-bus test network.