Control strategy to improve damping and transient response of VSG-based renewable power plants

Novel concept of renewables association with synchronous generation for enhancing the provision of ancillary services

Frequency control of hybrid wind-hydro power plants with long conduits in isolated power systems

Model validation and control strategy of a heat recovery system integrated in a renewable hybrid power plant demonstrator

Active nonlinear saturation-based control for suppressing the free vibration of a self-excited plant

Energy supply chain resilience and sustainability are essential for dependable, ecologically responsible energy availability, reducing disruptions, and creating a sustainable future. In this regard, this study explores the resilience and sustainability of a single energy supply chain through two distinct scenarios. The focus is on a manufacturer capable of sourcing products from renewable and non-renewable power plants. Although the renewable power plant is the preferred clean option, disruptions may occur. On the other hand, the fossil fuel power plant offers reliability at the cost of environmental impact. The manufacturer employs two sourcing strategies based on disruption probabilities: single sourcing from just the renewable power plant and dual sourcing from fossil and renewable power plants. In the second scenario, a collaboration between the power plants is introduced. If a disruption occurs at the renewable power plant, it orders the fossil fuel power plant to generate electricity on its behalf. Using a game-theoretic approach, the research examines the effects of dual-sourcing techniques, and the efficacy of cooperation in minimising disruptions. It also examines the trade-offs between energy supply chain resilience and environmental sustainability. The results shed light on sourcing strategy decision-making and add to the literature on sustainable and resilient energy supply chains.

Evaluation of the latest Spanish grid code requirements from a PV power plant perspective

The cost of electricity constitutes a significant part of municipal budgets. The decrease in renewable electricity generation costs allows municipalities to reduce their electricity costs and greenhouse gas emissions by investing renewable energy. A renewable energy transition facilitated by municipalities will positively affect and accelerate the energy transition in Turkey. In this study, the case of meeting the drinking water pumping station electricity consumption of Kocaeli Metropolitan Municipality Water and Sewerage Administration (ISU) from renewable power plants owned by ISU is analyzed. The amount of avoided emissions from renewable power generation has been calculated. 37.06% of ISU's electrical energy in the drinking water supply is consumed in drinking water pumping stations. ISU has renewable power plants with a total installed capacity of 8.50 MW. The rate of meeting the electricity consumed by the electrical energy obtained from the renewable power plants owned by ISU and the electrical energy consumed in the drinking water pumping stations is increasing. While the ratio of electricity from renewable energy sources (RES-E) to meet the electrical energy consumed in drinking water pumping stations was 19.27% in 2019, this ratio reached 31.74% in 2022 with investments in renewable energy power plants. As a result of RES-E, 32,225 tons of CO2 emissions have been avoided.

DEVELOPMENT OF PRİORİTİES AND PROSPECTS OF RENEWABLE ENERGY SOURCES IN AZERBAIJAN

Location matters: The impact of renewable power on transmission congestion and emissions

Dispatchable renewable generation is essential for 100% renewables power system. It is in the interest of both power system operators and customers since it reduces the need for flexibility and reserve. To this end, battery energy storage systems (BESS) are proposed for integration in the renewable power plant. This paper presents the optimal dispatch unit for a dispatchable hybrid solar‐wind power plant with BESS framework. It achieves optimal dispatchable renewable generation (from dispatchable hybrid renewable (solar‐wind) power plant with BESS, DHRB, operator perspective), subject to operational limits, by exploiting the synergy of wind and solar energy and combining it with storage capability of BESS using two different operation strategies, maximisation of revenues and maximisation of renewables harvesting. A continuous BESS degradation model is incorporated in the proposed rolling‐algorithm‐based‐optimal dispatch unit to improve the accuracy of results. The applicability of the proposed methodology and the performance of the operation strategies are demonstrated using a case study and the operation strategies are compared. Further, the effect of BESS size on its degradation and dispatchable power in a hybrid solar‐wind power plant with BESS are investigated through BESS lifetime. An indicative economic analysis is carried out to provide ground for the extra investment on and sizing of BESS for a dispatchable hybrid renewable power plant.

Continued economic growth of any country requires a sustainable energy supply. Pakistan’s energy sector is suffering from a serious energy crisis from the past two decades and mainly depends on conventional energy sources, which are costly and unsustainable. Moreover, electricity production across the country is largely dependent on oil and gas products while the utility of renewable energy resources is dismal. To evaluate a country’s energy system is a complex analysis that can be defined as a multi-dimensional problem of different alternatives and its criteria. Analytical Hierarchy Process (AHP) of the Multi-Criteria Decision Making Analysis tool provides a reliable methodology to rank different energy alternatives on the basis of selected criteria. In this paper, renewable and conventional energy power plants are analyzed on the basis of actual data of technical, economic and environmental criteria. The AHP results of this study show that the most favorable and sustainable energy plants for electricity production in terms of the above criteria and sub-criteria are renewable power plants followed by conventional power plants.

Smart fluid devices are now seen as an attractive solution to vibration damping problems. They offer superior performance compared to passive devices, without involving the cost, weight and complexity of fully active damping strategies. However, the inherent non-linearity of smart fluid dampers makes it difficult to fully exploit their capabilities, due the problems in applying an effective control strategy. In the past much of the research focused on complex controllers involving techniques such as neural networks and fuzzy logic. In recent years, however, an alternative approach has been adopted, whereby classical control techniques are used to linearise the damper's response. As a result some applications for smart fluid damping now use combinations of proportional, integral, or derivative control methods. However, it appears that these controllers can become unstable in much the same way as for a truly linear system. In order to investigate this instability it is suggested that a sufficiently accurate model of the damper's response is required, so that the onset of instability can be reproduced numerically. In this contribution, a model updating technique is described whereby an existing ER damper model is updated in line with experimental data. The paper begins with an overview of the experimental test facility and the modeling approach. The updating algorithm is then described, and it is shown how the updated model improves significantly on the accuracy of the model predictions.

Comparing the impacts of fossil and renewable energy investments in Indonesia: A simple general equilibrium analysis

It is predicted that demand for electricity in Islamic Republic of Iran will continue to increase dramatically in the future due to the rapid pace of economic development leading to construction of new power plants. At the present time, most of electricity is generated by burning fossil fuels which result in emission of great deal of pollutants and greenhouse gases (GHG) such as SO₂, NOx, and CO₂. The power industry is the largest contributor to these emissions. Due to minimal emission of GHG by renewable and nuclear power plants, they are most suitable replacements for the fossil-fueled power plants. However, the nuclear power plants are more suitable than renewable power plants in providing baseload electricity. The Bushehr Nuclear Power Plant, the only nuclear power plant of Iran, is expected to start operation in 2010. This paper attempts to interpret the role of Bushehr nuclear power plant (BNPP) in CO₂ emission trend of power plant sector in Iran. In order to calculate CO₂ emissions from power plants, National CO₂ coefficients have been used. The National CO₂ emission coefficients are according to different fuels (natural gas, fuels gas, fuel oil). By operating Bushehr Nuclear Power Plant in 2010, nominal capacity of electricity generation in Iran will increase by about 1,000 MW, which increases the electricity generation by almost 7,000 MWh/year (it is calculated according to availability factor and nominal capacity of BNPP). Bushehr Nuclear Power Plant will decrease the CO₂ emission in Iran power sector, by about 3% in 2010.

In this paper, an economic dispatch model with probabilistic modeling is developed for microgrid. Electric power supply in microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Due to the fluctuation of solar and wind plants' output, an empirical probabilistic model is developed to predict their hourly output. According to different characteristics of wind and solar plants, the parameters for probabilistic distribution are further adjusted individually for both power plants. On the other hand, with the growing trend of Plug-in Electric Vehicle (PHEV), an integrated microgrid system must also consider the impact of PHEVs. Not only the charging loads from PHEVs, but also the discharging output via Vehicle to Grid (V2G) method can greatly affect the economic dispatch for all the micro energy sources in microgrid. This paper presents an optimization method for economic dispatch in microgrid considering conventional, renewable power plants, and PHEVs. The simulation results reveal that PHEVs with V2G capability can be an indispensable supplement in modern microgrid.