This paper presents a fully integrated programmable biomedical sensor interface chip dedicated to the processing of various types signals. The chip, optimized for high power efficiency, contains low noise amplifier, tunable bandpass filter, gain stage, and successive approximation register analog-to-digital converter. A novel balanced pseudo-resistor is proposed achieve signal distortion dynamic range under voltage operations. 53 nW, 30 kHz relaxation oscillator included on-chip consumption...

This paper proposes a data-driven optimization method to solve the integrated energy and reserve dispatch problem with variable correlated renewable generation. The proposed applies kernel density estimation establish an ambiguity set of continuous multivariate probability distributions model for is formulated as combination stochastic robust problems. First, risk-averse two-stage hedge distributional uncertainty. Next, second-stage worst case expectation evaluated, using equivalent...

Power system operation will encounter numerous variabilities as the proliferation of renewable energy continues. Such random events require evaluation corresponding variables and assessment their impacts on monitoring control stochastic power systems. In this paper, a global sensitivity analysis (GSA) method is proposed to perform priority ranking that affect voltage stability First, probabilistic model for load margin calculation presented considering generation. Then, GSA applied models...

In this paper, a two-layer control scheme is proposed to improve the optimal economic operation of hybrid ac/dc microgrids. The consists lower layer representing continuous dynamic model with solution that analogous iterative decentralized dispatch problem for ac and dc sections. upper layer, which includes primary, secondary, tertiary coordinations in interlinking converters (ICs), regulates power exchanges between two Local controllers sections are coordinated regulate microgrid frequency...

Probabilistic forecasting of photovoltaic (PV) power provides system operators with pertinent information on the uncertainty PV generation. This paper proposes a spatio-temporal probabilistic model based monotone broad learning (MBLS) and Copula theory. MBLS is novel neural network structure for providing an efficient quantile regression solution. guarantees monotonicity between quantiles their probability thoroughly avoiding crossing problem. The historical data are then clustered using...

This paper proposes a hierarchical distribution network voltage control method considering active and reactive power coordination of PV units in both central local stages. In contrast to the traditional methods, proposed defines admissible range (AR) determines it via centralized optimization realize curtailments stage. The affine decision rule (ADR) is adopted with respect within AR. A distributionally robust chance constraint designed, based on statistical indices power, assess probability...

The proliferation of electric vehicles (EVs) and the increasing interdependence across power distribution networks (DNs) transportation (TNs) have increased complexity vulnerability two systems in extreme circumstances. As infrastructures tightens over time, it is viewed as a dire necessity to strengthen resilience coordinated transportation-power (TDNs) against natural disasters. This paper constructs optimization method TN traffic link reversing, DN line switching, fast charging pile...

Voltage unbalance (VU) in an active distribution network (ADN) could result increased losses and even system instability. The additional uncertainties embedded ADN might lead to serious VU problems with the proliferation of single-phase distributed energy resources (DERs). This paper proposes a two-stage uncertainty quantification mitigation (UQUM) framework cope corresponding quantify mitigate impacts variable DERs on VU. In Stage one, global sensitivity analysis based Rosenblatt...

The resilience of distribution networks (DNs) or transportation (TNs) has attracted a wide attention due to the frequent occurrence extreme natural disasters. However, existing works usually investigate two systems independently, which neglects their coordinated operations. This paper models interactions DNs and TNs coordinates multiple enhancement strategies make more cost-effective resource allocation scheme for operation transportation-power (TDNs) in hurricanes. Specifically, allocations...

The ac-dc hybrid distribution network is a credible path for the future evolution of network. State estimation paramount foundation safe and stable operation complex application centralized state method in an has some obstacles, such as low computational efficiency, large communication capacity, privacy protection problem. Based on three-stage theory, this paper established model integrating supervisory control data acquisition system phasor measurement unit. proposed achieves linearization...

A microgrid (MG) is a small-scale power system which fed by constrained distributed generation (DG) units and its continuous operation affected the variability of available resources. In this paper, global sensitivity analysis (GSA) method proposed to evaluate impact variable energy resources on maximum loadability islanded MGs (IMGs). First, probabilistic optimization problem formulated calculate IMG load margin considering droop characteristics DG uncertainties renewable generation, loads...

The Gaussian mixture model (GMM) is a powerful tool to establish the probability distributions of random variables in power system analyses. GMM can arbitrary by increasing number its components, but commonly used expectation-maximization (EM) algorithm fails obtain accurate for large component numbers, which limits application multivariate wind modeling. In this letter, parameter estimation method with numbers proposed based on kernel density (KDE) and improved density-preserving...

The development of distributed energy resources, such as rooftop photovoltaic (PV) panels, batteries, and electric vehicles (EVs), has decentralized our power system operation, where transactive markets empower local exchanges. Transactive contributes to building a low-carbon by better matching the renewable sources demand. Effective market mechanisms are key part design. Despite fruitful research on related topics, some practical challenges must be addressed. This review surveys three...

The operating envelope (OE) provides an effective method to manage distributed energy resources (DERs) in power distribution systems (DSs) by offering allowable regions of nodal injections. active-reactive (P-Q envelope) is a desirable type OE that would increase the active range and release reactive flexibility. However, existing studies have not established P-Q envelopes with guaranteed equitableness. This paper proposes equitable calculation optimization method. First, we model as convex...

Probabilistic load flow (PLF) is an efficient tool to assess the performance of a power network considering random variables. In this paper, improved Latin hypercube sampling (LHS) proposed solve PLF correlated input The permutation samples in LHS treated as combinatorial optimization problem and handled by designed genetic algorithm combined with local search (GALS). developed method flexible different measures dependence can tackle non-positive definite correlation matrices. Because...