scholarly journals Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3459 ◽  
Author(s):  
Xianxun Wang ◽  
Lihua Chen ◽  
Qijuan Chen ◽  
Yadong Mei ◽  
Hao Wang
Keyword(s):  
Power Systems ◽  
Power System ◽  
Thermal Power ◽  
Power Production ◽  
Total Power ◽  
Energy Integration ◽  
Small Hydropower ◽  
Peak Period ◽  
Renewable Power ◽  
Core Areas

Small hydropower (SHP) and pumped hydropower storage (PHS) are ideal members of power systems with regard to integrating intermittent power production from wind and PV facilities in modern power systems using the high penetration of renewable energy. Due to the limited capacity of SHP and the geographic restrictions of PHS, these power sources have not been adequately utilized in multi-energy integration. On the one hand, rapidly increasing wind/PV power is mostly situated in remote areas (i.e., mountain and rural areas) and is delivered to core areas (i.e., manufacturing bases and cities) for environmental protection and economic profit. On the other hand, SHP is commonly dispersed in remote areas and PHS is usually located in core areas. This paper proposes a strategy to take advantage of the distribution and regulation features of these renewable energy sources by presenting two models, which includes a remote power system model to explore the potential of SHP to smooth the short-term fluctuations in wind and PV power by minimizing output fluctuations as well as a core power system model to employ PHS to shift the surplus power to the peak period by maximizing the income from selling regenerated power and minimizing output fluctuations. In the proposed first model, the cooperative regulation not only dispatches SHP with a reciprocal output shape to the wind/PV output to smooth the fluctuations but also operates the reservoir with the scheduled total power production by adjusting its output in parallel. The results of a case study based on a municipal power system in Southwestern China show that, with the proposed method, SHP can successfully smooth the short-term fluctuations in wind and PV power without influencing the daily total power production. Additionally, SHP can replace the thermal power production with renewable power production, smooth the thermal output, and further reduce the operation costs of thermal power. By storing the surplus power in the upper reservoir and regenerating the power during the peak period, PHS can obtain not only the economic benefit of selling the power at high prices but also the environmental benefit of replacing non-renewable power with renewable power. This study provides a feasible approach to explore the potential of SHP and PHS in multi-energy integration applications.

scholarly journals Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2195 ◽  
Author(s):  
Tong Guo ◽  
Yajing Gao ◽  
Xiaojie Zhou ◽  
Yonggang Li ◽  
Jiaomin Liu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Power Unit ◽  
Large Scale ◽  
Thermal Power ◽  
Entropy Method ◽  
Optimal Scheduling ◽  
Evaluation Index System ◽  
Total Power

Due to the randomness, volatility and intermittent nature of wind power, power systems with significant wind penetration face serious “curtailment” problems. The flexibility of a power system is an important factor that affects the large-scale consumption of wind power. Based on this fact, this paper takes into account the economics and flexibility of the system, and proposes an optimal scheduling method that takes the flexibility of each thermal power unit into account. Firstly, a comprehensive evaluation index system of thermal power unit flexibility is designed by an analytic hierarchy process and entropy method. The system covers the technical indexes and economic characteristics of thermal power units and is able to quantitatively evaluate the different types of thermal power units in the system. Secondly, a multi-objective optimization scheduling model involving the overall flexibility of the unit and the total power generation cost is established. Finally, the correctness and effectiveness of the proposed indicators and models are verified by a case study.

Nature-Inspired Algorithm Applied to a Renewable Energy-Integrating Hydro-Thermal Power Plant

2022 ◽  
pp. 21-36
Author(s):  
Sunanda Hazra ◽  
Provas Kumar Roy
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Chemical Reaction ◽  
Statistical Tests ◽  
Thermal Power ◽  
Chemical Reaction Optimization ◽  
Renewable Power ◽  
Opposition Based Learning ◽  
Reaction Optimization ◽  
Hazardous Gases

Due to the rising requirement on energy sources and the global doubts for using fossil fuel because of its consequences on the climate changes and the global warming caused by hazardous gases, the scientific research has shifted to the renewable energy. To minimize the usage of thermal power generation plants and to meet the rising load demand, a thermal-integrated wind-hydro-system is taking an important role in renewable power systems. A proficient nature-inspired optimization is proposed for solving economic and emission dispatch for the hydro-thermal-wind (HTW) scheduling problem. Further, the opposition-based learning have been incorporated with the chemical reaction optimization for improving the performance of the algorithm. To investigate the performance of oppositional chemical reaction optimization algorithm, the algorithm is tested on two different cases. Along with this, some statistical tests have also been performed. The results obtained by the OCRO algorithm are compared with other recently proposed methods to establish its robustness.

An Educational Package for Environmentally Friendly, Economic Operation of Power Systems

2003 ◽  
Vol 40 (2) ◽  
pp. 130-143 ◽  
Author(s):  
C. Palanichamy ◽  
C. Anil Kumar ◽  
Sundar Babu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Thermal Power ◽  
Environmentally Friendly ◽  
Basic Training ◽  
Economic Operation ◽  
Educational Package ◽  
Thermal Power System

This paper presents a Windows™-based educational package developed by the authors to provide power systems students with basic training on the environmentally friendly, economic operation of power systems. The suitability of the package has been demonstrated here with the help of a six-generator thermal power system.

scholarly journals A Novel Fuzzy Logic Based Load Frequency Control for Multi-Area Interconnected Power Systems

2021 ◽  
Vol 11 (4) ◽  
pp. 7522-7529
Author(s):  
D. V. Doan ◽  
K. Nguyen ◽  
Q. V. Thai
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Interconnected Power Systems

This study focuses on designing an effective intelligent control method to stabilize the net frequency against load variations in multi-control-area interconnected power systems. Conventional controllers (e.g. Integral, PI, and PID) achieve only poor control performance with high overshoots and long settling times. They could be replaced with intelligent regulators that can update controller parameters for better control quality. The control strategy is based on fuzzy logic, which is one of the most effective intelligent strategies and can be a perfect substitute for such conventional controllers when dealing with network frequency stability problems. This paper proposes a kind of fuzzy logic controller based on the PID principle with a 49-rule set suitable to completely solve the problem of load frequency control in a two-area thermal power system. Such a novel PID-like fuzzy logic controller with modified scaling factors can be applied in various practical scenarios of an interconnected power system, namely varying load change conditions, changing system parameters in the range of ±50%, and considering Governor Dead-Band (GDB) along with Generation Rate Constraint (GRC) nonlinearities and time delay. Through the simulation results implemented in Matlab/Simulink software, this study demonstrates the effectiveness and feasibility of the proposed fuzzy logic controller over several counterparts in dealing with the load-frequency control of a practical interconnected power system considering the aforesaid conditions.

scholarly journals Offshore Oilfield Hybrid Renewable Power Systems Based on AI Algorithm

2020 ◽  
Vol 191 ◽  
pp. 02002
Author(s):  
Qingguang Yu ◽  
Zhicheng Jiang ◽  
Yuming Liu ◽  
Gaoxiang Long
Keyword(s):  
Power Systems ◽  
Power System ◽  
Structural Optimization ◽  
Optimization Model ◽  
Extraction Process ◽  
Interconnected Power System ◽  
Renewable Power ◽  
Load Removal ◽  
Fault Mode ◽  
Offshore Oil

This paper proposes a structural optimization model for the offshore oilfield interconnected power system. The model focuses on evaluating the reliability of the system. It is found that the N−1 fault is the primary fault mode leading to severe power loss due to the probability of fault occurrence and the fault consequence according to the statistics of the historical fault information of the offshore oilfield power system. Considering the characteristics of the offshore oil extraction process, the priority of load removal in different processes under different fault conditions is different. Comprehensively considering the above factors, the model uses the minimum load shedding model that considers the load priority level in the objective function to calculate the power outage losses in all N−1 fault states of the system. The test results of numerical examples prove that the optimized solution of the structural optimization model can achieve a better balance between economy and reliability.

Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

2018 ◽  
Vol 7 (1) ◽  
pp. 22-49 ◽  
Author(s):  
Ajit Kumar Barisal ◽  
Deepak Kumar Lal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Pid Controller ◽  
Thermal Power ◽  
Operating Conditions ◽  
System Model ◽  
Source Power ◽  
Interconnected Power Systems ◽  
Thermal Power System ◽  
Moth Flame Optimization Algorithm

A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The superiority of the proposed MFO optimized PI/PID controller has been demonstrated by comparing the results with recently published approaches such as conventional, GA, BFOA, DE, PSO, Hybrid BFOA-PSO, FA and GWO algorithm optimized PI/PID controller for the same power system model. Then, a sensitivity analysis is carried out to study the robustness of the system to wide changes in the operating conditions and system parameters from their nominal values. The proposed approach is extended to different realistic multi-area multi-source power systems with diverse sources of power generations for simulation study. The acceptability and efficacy of the proposed technique is demonstrated by comparing with other recently published techniques.

Integrating energy sectors in a state-resolved energy system model for Australia

2020 ◽  
Author(s):  
Tina Aboumahboub ◽  
Robert Brecha ◽  
Matthew Gidden ◽  
Andreas Geiges ◽  
Himalaya Bir Shrestha
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Energy Resource ◽  
Energy System ◽  
System Model ◽  
Power Sector ◽  
Time Step ◽  
Renewable Power ◽  
Industrial Sectors

<p>Australia represents an interesting case for energy system transformation modeling.  Wile it currently has a power system dominated by fossil fuels, and specifically with a heavy coal component, there is also vast potential for expansion and use of renewable energy.  Geographically, the country is divided into seven states and territories, two of which have power systems isolated from the rest of the country. Regions have widely differing characteristic energy mixes and resources, ranging from high reliance on brown coal (Victoria), black coal (New South Wales, Queensland), natural gas (Northern Territory, Western Australia) to states that have already moved toward renewable energy-dominant systems (South Australia, Tasmania). Renewable power systems across Australia are experiencing rapid growth, particularly in solar photovoltaics and to a lesser extent with wind power and battery storage. </p><p>In order to better understand the further potential expansion of renewable power systems in Australia, we developed the Australian Energy Modelling System (AUSeMOSYS) based on the open-source OSeMOSYS framework. We apply AUSeMOSYS to investigate cost-optimal transformation pathways towards a carbon-neutral energy system. The model is calibrated carefully to recent past trends in energy generation, including the recent and near-future rapid uptake of renewables in different regions, whether by policy decision or autonomous development.  Beyond the power sector, AUSeMOSYS also provides scenario pathways for the uptake of electric vehicles and hydrogen powered transport, coupled to the power sector with a timeline through 2050. In order to investigate the full extent of renewable energy expansion given Australia’s recognized large renewable energy resource potential, we link selected industrial sectors to the power system model, e.g. steel production, where use of electric generation can further decarbonize Australia’s economy via hydrogen production and use.</p><p>In addition to the results showing the potential for large, integrated, cross-sectoral penetration of renewable energy into the Australian energy mix, we investigate modeling sensitivities to key parameters that can affect the uptake and use of renewable energy in the power system. For example, we study sensitivities in the choice of time-step resolution, the availability of trade between states in the National Energy Market (NEM) and the choice of carbon price and carbon cap pathways that can lead to near-zero emissions from the energy system by mid-century.</p>

scholarly journals Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4132 ◽  
Author(s):  
António Couto ◽  
Ana Estanqueiro
Keyword(s):  
Power Systems ◽  
Power System ◽  
Solar Power ◽  
Extreme Values ◽  
System Development ◽  
Power Source ◽  
Electricity Demand ◽  
Energy Deficit ◽  
Solar Pv ◽  
Renewable Power

Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.

A Review on Hybrid Solar Power System Technology

2013 ◽  
Vol 281 ◽  
pp. 554-562 ◽  
Author(s):  
Ting Ting Li ◽  
Guo Qiang Xu ◽  
Yong Kai Quan
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Power System ◽  
Solar Power ◽  
Thermal Power ◽  
Combined Cycle ◽  
Energy Utilization ◽  
Cycle System ◽  
Grid Connection ◽  
Power Generation Technology

Solar energy utilization has met some complicated problems in recent years, like energy storage, solar thermal power generation dispatchability and grid connection etc. The concept of hybrid solar power systems proposed in early researches has extended the conditions of exploiting solar power generation technology，this paper reviews hybrid solar power system technologies in the past 40 years. According to different complementary energy resources, hybrid solar/renewable energy and solar/conventional energy systems have been discussed in this paper. Particularly, this article presents the thermal and economic performances of Integrated Solar Combined Cycle System (ISCCS).

scholarly journals Skill and Skill Prediction of Cloud-Track Advection-Only Forecasting under a Cumulus-Dominated Regime

2017 ◽  
Vol 56 (3) ◽  
pp. 651-665
Author(s):  
Vivek Srikrishnan ◽  
George S. Young ◽  
Jeffrey R. S. Brownson
Keyword(s):  
Radiative Transfer ◽  
Power Systems ◽  
Lead Time ◽  
Solar Power ◽  
Power Production ◽  
Energy Integration ◽  
Taylor’S Hypothesis ◽  
Short Time ◽  
The Impact

AbstractThe intermittency of solar power production is dependent on the evolution and advection of the nearby cloud field. A key problem related to solar energy integration is the improvement of 1-h-ahead forecasts to reduce the impact of intermittency on power systems operations. Many solar forecasts explicitly or implicitly assume Taylor’s hypothesis. While such advection-only forecasts can be presumed to be valid across sufficiently short time scales, it is not clear how rapidly the skill of such a forecast decays with increased lead time. As the goal is to improve the quality of 1-h-ahead forecasts, this work focuses on quantifying the skill of cloud-track wind-based cumulus-dominated cloud field forecasts with respect to lead time. No explicit connection is drawn to the quality of solar forecasts because of the importance of separating two potential sources of error: cloud field forecasting and radiative transfer estimation. It is found that the cumulus field forecast skill begins to asymptotically approach a minimum at lead times of beyond 30 min, suggesting that advection-only forecasts in a cumulus-dominated environment should not be relied upon for 1-h-ahead point forecasts used by radiative transfer methods to estimate solar power production. A first attempt at forming a probabilistic forecast that can quantify this increasing uncertainty when using advection-only methods is presented.

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