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 distributed neurodynamic approach is proposed for constrained convex optimization. The objective function sum of local subproblems, whereas the constraints these subproblems are coupled. Each minimized individually with optimization approach. Through information exchange between connected neighbors only, all nodes can reach consensus on Lagrange multipliers global equality and inequality constraints, decision variables converge to optimum in manner. Simulation results two...

Distributed optimization algorithms for security-constrained economic dispatch (SCED) problems have been the subject of significant research interest in recent years. However, existing distributed SCED can be ineffective presence malicious participants and inefficient absence a coordinator. On other hand, blockchain, an emerging technique known as trust machine, has not shown its potential to address above challenges state-of-the-art literature. This paper proposes blockchain-based...

Trading based on distributed optimization is becoming a world-wide trend in energy markets. Without proper trading mechanism design, however, participants might act dishonestly, which further leads to potential trust crisis and even market failures. This issue has been overlooked state-of-the-art design. Blockchain, known as the enabler of trust, promising address this challenge. However, current studies have not detailed how blockchain can disable dishonest trading, primarily give...

Specific detection of tumor-derived EVs (tEVs) in plasma is complicated by nontumor and non-EV particles. To accurately identify tEVs profile their surface protein expression at single tEV resolution directly with clinical still an unmet need. Here, we present a Dynamic Immunoassay for Single Profiling (DISEP), kinetic assay based on plasmon resonance microscopy (SPRM) specific profiling. DISEP adopts pair low-affinity oligonucleotide probes to respectively label EV proteins functionalize...

With increasing concerns about global warming, and the cement plants emitting huge CO 2 , it is necessary to know how emits much due manufacture in both direct indirect ways. A precise method calculate emissions including three processes was established this paper a case study provided. From of LQDX plant, we can see amount at right level. The summary consisted by from raw materials, fuels electricity. are 0.822 ton per clinker, total 0.657 study. Therefore, way that pictured then measured....

An optimal coordinated operation model of comprehensive energy storage and conversion devices was built by considering interdependency in a multi-vector community, to achieve an overall optimum. The determined the size, strategies scenario analysis further conducted. proposed sequential method solved complex mixed-integer nonlinear programming (MINLP) problem decomposing multi-energy system into subsystem PV-battery subsystem, which reduced computation complexity. Firstly, electricity, heat...

Increasing electric vehicle (EV) penetration in distribution networks necessitate EV charging coordination. This paper proposes a two-stage coordination mechanism that frees the system operator (DSO) from extra burdens of The first stage ensures total demand meets facility constraints, and second fair welfare allocation while maximizing via Nash-bargaining trading. A decentralized algorithm based on alternating direction method multipliers (ADMM) is proposed to protect individual privacy....

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...

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...

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...

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...