Stochastic unit commitment is an efficient method for grid operation in the presence of significant uncertainties. An example during a predicted hurricane with uncertain line out-ages. However, solution quality comes at cost substantial computational burden, which makes its adoption challenging. This paper evaluates some possible ways that machine learning can be used to reduce this burden. First, set feasibility studies conducted. Results suggest using as assistant stochastic solver more...

The increasing limitations on available energy require use of new environmentally friendly resources and enhancement utilization efficiency resources. Energy storage systems (ESSs) are a promising technology to realize such goal; however, their application in networks requires an investment that must be economically justified. This study examined the effect ESS generation costs for specific time period. includes determining best location installation possible operation schedules power plants...

Provision for potable water is an important priority the world population. Seawater desalination a promising technology that can address this need. Currently, desalinated main or supplementary source of numerous countries; also be used in other regions, facing geographical economic shortage. However, energy-intensive process. This paper offers new perspective on cost reduction through coordinated operation power generation and plants. The paper, first, models energy consumption model...

Stochastic optimization can be used to model predictable but uncertain element failures, in an attempt enhance system reliability power operation and planning. In practical applications, such as preventive during severe weather, the uncertainty set is often very large. This will lead two challenges: (i) every possible scenario cannot practically identified; (ii) computational demands of stochastic with a large met. To address these challenges, this paper develops multidimensional selection...

This letter introduces a novel approach to prevent ice formation on transmission lines during storms. First, weather forecast is used calculate minimum currents needed raise the conductor temperature above freezing point. Then, preventive unit commitment model developed enforce those limits. Simulation studies are conducted three-area RTS-96 system. The results confirm effectiveness of in preventing formation, through adjustment generation dispatch and slightly increasing cost. Limitations...

Many foreseeable natural hazards, including extreme weather events, lead to an outage of multiple transmission lines. Although such outages can be predicted in advance, there is a great deal uncertainty these predictions. To appropriately use the failure estimations power system scheduling, this paper formulates stochastic unit commitment (SUC) problem with explicit modeling outages. The formulated problem, however, extremely computationally-demanding, as placed on binary status This paper,...

Water desalination can offer a potential solution for water scarcity. Additionally, technologies that mainly consume electric energy, such as reverse osmosis, expand the market utilities. Despite benefits, main question around remains to be its economic competitiveness. To evaluate cost-effectiveness of desalination, this paper calculates two well-known engineering metrics: net present value (NPV) and levelized cost (LCOW), applied large-scale loads. The offers insights on competitiveness...

Stochastic failures of power system elements due to extreme conditions, including severe weather events, jeopardize reliability. As an example, hurricanes damage numerous grid components and lead widespread outages. Therefore, there is a need for improved management through prediction generation transmission However, integrating large set failure scenarios into operation models computationally burdensome. Thus, efficient scenario creation selection methods are required that both...

Besides economical issues, reliability and environmental emissions have become major concerns whenever an energy system is designed. The objective of this study to design both autonomous non-autonomous hybrid green power (HGPS) supply a specific load demand considering economics, indices, emissions. HGPS includes wind turbine (WT), photovoltaic (PV) array, fuel cell, the actual data used for simulation which are annual solar irradiation speed state Illinois. For analysis, it assumed that...

Seawater desalination is one promising technology that can produce potable water, to support populations with geographically limited access fresh water. Desalination already the main source of water production in a number countries middle east, including Saudi Arabia, Israel, UAE, and Kuwait, has potential contribute solving shortage problem states like California. The barrier for broad deployment seawater high energy intensity technology, which translates into operation cost. This paper...

Stochastic unit commitment is an effective model for generation scheduling, in the presence of substantial uncertainty. However, effectiveness comes with computational cost. Generally, stochastic needs more time than other standard methods such as deterministic, to solve problem. In this paper, results initial feasibility studies are presented aiming find out if using machine learning-based models can facilitate solving problems. A real-world, large-scale test case used demonstrate...

Hurricanes cause power outages in the coastal areas of United States every year. Previous studies show that integration weather forecast data within system operation can substantially reduce such outages. However, preventive operation, modeled as a stochastic unit commitment, is extremely computationally burdensome, and, thus not applicable to real systems. The present paper aims address this challenge by developing computationally-efficient commitment model. proposed algorithm proactively...

Seawater desalination is a technology which can produce potable water for many locations that currently face scarcity. Various technologies have been developed and used years, some rely on to provide their population. However, despite all the enhancements, viewed as an energy-intensive process. In this study, we discuss economic aspects of large-scale electric plants suggest suitable solutions reduce levelized cost production. Our simulation results show coordinated operation power...

Severe weather threatens the reliability of power supply by damaging network. In case hurricanes, tens elements may fail, which would lead to outages. Under such circumstances, preventive unit commitment methods can model probabilistic failure forecasts and minimise Preventive stochastic is an effective method consider reduce outage. Although produces high-quality solutions, it computationally burdensome. Thus, this paper evaluates proxy deterministic with lighter computational compared on...

This letter introduces a novel approach to prevent ice formation on transmission lines during storms. First, weather forecast is used calculate minimum currents needed raise the conductor temperature above freezing point. Then, preventive unit commitment model developed enforce those limits. Simulation studies are conducted three-area RTS-96 system. The results confirm effectiveness of in preventing formation, through adjustment generation dispatch and slightly increasing cost. Limitations...

Stochastic optimization can be used to model predictable but uncertain element failures, in an attempt enhance system reliability power operation and planning. In practical applications, such as preventive during severe weather, the uncertainty set is often very large. This will lead two challenges: (i) every possible scenario cannot practically identified; (ii) computational demands of stochastic with a large met. To address these challenges, this paper develops multidimensional selection...

The utilization of electric generation capacity is generally set by studies load growth. In recent years, growth in developed countries has not been at high levels, and the some renewable resources have exacerbated this issue. paper, a new market for large scale seawater desalination proposed discussed. main elements discussion center on power system factor improvement, improvement net present value, also coordination activity with unit commitment. As background, added water are noted as an...

According to US Department of Energy, extreme weather is the leading cause power outages in United States. Although all system operators have access forecast data, no existing automated tool can take advantage this data guide preventive operation. This paper presents a framework close gap. The first forecasts with accuracy and resolution required for grid is, then, passed structural analysis module, where failure likelihood elements estimated. Finally, probabilities are integrated within...