In this paper, we study unit commitment (UC) problems considering the uncertainty of load and wind power generation. UC problem is formulated as a chance-constrained two-stage stochastic programming where chance constraint used to restrict probability imbalance. addition conventional mixed integer linear formulation using Big-M, present bilinear constraint, then derive its counterpart McCormick linearization method. Then, develop variant Benders decomposition method, which an...

The Yangtze River Economic Belt is the most important manufacturing economic belt in China. level of green innovation efficiency directly affects overall competitiveness China’s industry. With panel data from 11 provinces and cities along China for period 2008 to 2017, this paper applies slacks-based measure (SBM)-data envelopment analysis (DEA) model Tobit conduct an empirical study effects government research development subsidies environmental regulations on industry Belt. results show...

As the rapid development of natural-gas fired units (NGUs), power systems begin to rely more on a natural gas system supply primary fuel. On other hand, contingency might cause nonavailability NGUs and inevitably jeopardize security. To address this issue, paper studies security-constrained joint expansion planning problems for combined energy system. We develop computationally efficient mixed-integer linear programming (MILP) approach that simultaneously considers N-1 in both electricity...

This article describes Bayesian methods for accelerated life test planning with one accelerating variable, when the acceleration model is linear in parameters, based on censored data from a log-location-scale distribution. We use criterion estimation precision of distribution quantile at specified condition to find optimum plans. also show how compute optimized compromise plans that satisfy practical constraints. A large-sample normal approximation provides an easy-to-interpret yet useful...

High voltage direct current (HVDC) links are interties, characterized by good controllability, large adjustable capacity and fast responses, have inherent advantage in damping interarea oscillations over power system stabilizers (PSS) flexible alternating transmission systems (FACTS). In this paper, a systematic practical means to design the multiple HVDC control system, which aims enhance of certain modes minimize interactions between different loops, is provided. proposed procedure,...

Using off-site predictors to capture spatio-temporal correlations among geographically distributed wind farms is seen as one solution improve the forecast accuracy of power generation. However, in practice, farm operators are usually unwilling share their private data with each other because competitive reasons and security considerations. To address this issue, paper presents how probabilistic forecasting using information could be achieved a privacy-preserving fashion. Wind forecasts...

To enhance industrial park's economic gains and effectively allocate its electricity bill among users with combined heat power (CHP) units photovoltaic (PV) panels, this paper proposes a distribution locational marginal price (DLMP)-based bi-level demand management approach. The upper level optimizes dispatching decisions of the objective minimizing their energy bills, lower is DLMP-based market clearing problem to minimize two-part tariff cost park operator. In order solve proposed model...

Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated wind power output. However, most studies focus modelling only a fixed set of quantiles or intervals, which cannot provide entire distribution. In this paper, we propose non-parametric and flexible method for forecasting. First, distribution output is specified by spline quantile function, avoids assuming parametric form also shape density. Then,...

This paper proposes a decentralized demand management approach to reduce the energy bill of industrial park and improve its economic gains. A model for considering integrated response combined heat power (CHP) units thermal storage is firstly proposed. Specifically, by increasing electricity outputs CHP during peak-load periods, not only peak charge but also can be reduced. The efficiently utilize waste provided further increase flexibility units. dissipation storage, delay effect, losses...

This study presents a risk-averse stochastic unit commitment (SUC) model which considers the loss-of-load risk caused by wind power uncertainty. The expected cost of is usually considered in conventional scenario-based SUC model. However, even if induced all scenarios low, some extreme can be very high. Thus, there strong will to better control these cases with high costs but low probabilities. In this study, management worst addressed conditional value-at-risk (CVaR). proposed built...

To improve the frequency stability of power systems with a high penetration converter-based generators, this paper proposes an Enhanced Frequency-Constrained Unit Commitment (E-FCUC) considering variable-droop-controlled Frequency Control (FC) from generators. Unlike previous studies emphasizing conventional and fix-droop generators participating in primary response, impact variable-droop FC (VD-FC) is investigated, modeled, then incorporated into UC problems. Firstly, transfer function...

Peer-to-peer (P2P) energy trading is seen as a promising method for distributed transactive (TE) management. Since distribution network used electricity transfer, physical constraints should be imposed during the P2P trading. In this paper, we propose P2P-based TE management approach considering and product differentiation between different buses. A multi-period AC optimal power flow (OPF) model to monitor in system, exactness of second-order cone relaxation recovered by convex-concave...