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Hydrokinetic river (HKT) and photovoltaic (PV) panels systems are of the promising technologies to be used for remote rural electrification. In rural areas with access to water and solar resources, renewable generation is a promising option for electrification. This paper presents a study by two sizing methods for a stand-alone hybrid generation system integrating renewable energies (PV panels and...
The increasing integration of Electric vehicles (EVs) and renewable generators (RGs) is an inevitable trend in power system development to control the release of greenhouse gases and pollution and reduce dependence on fossil fuels. This will challenge distribution networks, which have constrained capacities, due to the intrinsic intermittence of renewable power and additional charging load demand...
Recent studies have shown that multi-step optimization based on Model Predictive Control (MPC) can effectively coordinate the increasing number of distributed renewable energy and storage resources in the power system. However, the computation complexity of MPC is usually high which limits its use in practice. To improve the efficiency of MPC, in this paper, we apply a distributed optimization method...
The deep penetration of wind and solar power is a critical component of the future power grid. However, the intermittency and stochasticity of these renewable resources bring significant challenges to the reliable and economic operation of power systems. Motivated by these challenges, we present a multistage adaptive robust optimization model for the unit commitment (UC) problem, which models the...
In a hydro-dominated power system, with complex inter-temporal linkages, capacities of individual projects and project configurations are more complicated than using the simple megawattage, often used to denote capacity in thermally dominated systems. In this paper, the long term hydro scheduling problem is solved and used to test novel definitions of hydro-capacities, based on expected cost and cost...
this paper presents results on the simulation, modeling and optimization of an off grid hybrid solar PV/diesel/battery/inverter power system for residential application. The principal objective is to design a standalone renewable energy system to meet the desired electric load with high renewable fraction, low excess power and low cost of energy. Hourly simulations and optimization were performed...
This paper investigates the impact of demand response (DR) management on improving the social welfare of remote communities by integrating renewable energy (RE) resources into their diesel generator-based isolated microgrids. A multiple-year planning optimization problem is developed to determine the optimal combination of RE resources and energy storage system (ESS) while considering demand response...
Intermittency of renewable resources represents a major impediment that restricts their integration in microgrids. This paper presents an approach that can contribute to solve this issue by the prediction of near-term future renewable power production, mainly wind power and photovoltaic power, based on weather forecasts. After knowing the future renewable power production, the electric grid manager...
Nowadays, wind energy has become a very viable alternative solution to provide electrical energy. The development of wind energy is especially relevant for the case of isolated island in the south central provinces of Vietnam, where there is great potential for wind energy. For these isolated systems, the co-generation of diesel generators and wind turbines is a common configuration, but also poses...
During this time, the main source of electrical energy derived from fossil energy sources, which is at present the number continues to decrease and become more limited. Therefore, it is necessary to find alternative sources of energy produced by natural processes so it will not run out or quickly reversed if managed properly. In other words, alternative energy sources must be a renewable energy. Some...
We develop a two-part modeling framework to schedule bids for merchant variable renewable energy (VRE) generators participating in the day-ahead wholesale electricity market. The first part is an optimization model that maximizes revenue by optimally selling power into the marketplace. The second is a non-cooperative game-theory model in which the Nash equilibrium is the revenue-maximizing bidding...
Numerous case studies have been performed on both large and small scale Hybrid Integrated Renewable Energy Systems (HI-RES) over the past decade to ascertain the benefits of combining various forms of renewable and nonrenewable energy sources. Many of these studies have produced test and verification results obtained through iterative simulations, optimization and sensitivity analyses to aid in understanding...
Traditional solution methods for the long term hydro scheduling problem often omit short term phenomena such as daily load variations and transmission constraints. Simultaneously accounting for these factors in a single chronological optimization models, may lead to an overwhelming computational burden. Therefore acceptable approximations, that consider basic short term limitations, but still give...
Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated...
With spreading of renewable energy in energy mix of national grids, the issue of high capacity and efficient energy storage is becoming very critical. A comprehensive model of South African power grid developed at the University of Pretoria is presented in this work. The model contains all notable power generators in the country. Mixed integer non-linear optimisation techniques are employed for unit...
Today, the world is very much concerned about the global warming effects due to the increasing pollutant emissions from various sectors of manufacturing industries. They are majorly using coal based power plants for fulfilling their electricity need. The requirement is of switching some partial load on renewable system and finding alternative fuels that can help in reducing green house gases' emissions...
This paper presents an Energy Optimization Model (EOM) for Mobile Service Providers (MSP) that enables the optimization of power efficiency and the integration of optimum renewable and clean energy sources into the mobile network. The model approach drives both Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) reduction via re-engineering power provisioning and site solutions. The features...
California's proactive goals for developing renewable energy will alter the net demand profile for scheduling dispatchable resources to maintain system balance. Anticipating these changes, the California ISO has implemented market features to promote flexible generation, including a flexibility reserve constraint in market optimization, which is potentially a new market product. This paper builds...
The Resource Planning Model co-optimizes dispatch and capacity expansion using a simplified, chronological dispatch period representation and high-resolution resource, load and infrastructure data. The computational tractability of capacity expansion models depends on model simplifications. We demonstrate the effects of various dispatch period representations on model results using the Resource Planning...
In this paper, a model is presented to solve the problem of combined heat and power (CHP) dispatch. The system under consideration consists of both thermal generators and wind turbines. The wind power is a random variable following the Beta distribution, which is mainly used for the short-term forecasting. In the proposed model, the probability of wind power is included in the constraint set. A computer...
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