Statistical Uncertainty Modelling and Dispatch Control Systems in Power Systems with High Penetrations of Intermittent Power Sources

2021 ◽  
Author(s):  
Yang Li ◽  
Zongjie Wang
Keyword(s):  
Power Systems ◽  
Control Systems ◽  
Statistical Uncertainty ◽  
Uncertainty Modelling ◽  
Power Sources

scholarly journals A Methodology for Provision of Frequency Stability in Operation Planning of Low Inertia Power Systems

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 737
Author(s):  
Michał Kosmecki ◽  
Robert Rink ◽  
Anna Wakszyńska ◽  
Roberto Ciavarella ◽  
Marialaura Di Somma ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Storage System ◽  
Rate Of Change ◽  
System Level ◽  
Operation Planning ◽  
Planning Period ◽  
Power Sources ◽  
Real Time Digital Simulator

Along with the increasing share of non-synchronous power sources, the inertia of power systems is being reduced, which can give rise to frequency containment problems should an outage of a generator or a power infeed happen. Low system inertia is eventually unavoidable, thus power system operators need to be prepared for this condition. This paper addresses the problem of low inertia in the power system from two different perspectives. At a system level, it proposes an operation planning methodology, which utilises a combination of power flow and dynamic simulation for calculation of existing inertia and, if need be, synthetic inertia (SI) to fulfil the security criterion of adequate rate of change of frequency (RoCoF). On a device level, it introduces a new concept for active power controller, which can be applied virtually to any power source with sufficient response time to create synthetic inertia. The methodology is demonstrated for a 24 h planning period, for which it proves to be effective. The performance of SI controller activated in a battery energy storage system (BESS) is positively validated using a real-time digital simulator (RTDS). Both proposals can effectively contribute to facilitating the operation of low inertia power systems.

scholarly journals A Short Review of Lithium-ion Battery Technology

2020 ◽  
pp. 500-507
Author(s):  
Imran Hussain Sardar ◽  
Souren Bhattacharyya
Keyword(s):  
Power Systems ◽  
Lithium Batteries ◽  
Lithium Battery ◽  
High Efficiency ◽  
Lithium Ion ◽  
Short Review ◽  
Consumer Electronics ◽  
Power Sources ◽  
High Specific Energy ◽  
Battery Technology

Lithium batteries are characterized by high specific energy, high efficiency and long life. These unique properties have made lithium batteries the power sources of choice for the consumer electronics market with a production of the order of billions of units per year. These batteries are also expected to find a prominent role as ideal electrochemical storage systems in renewable energy plants, as well as power systems for sustainable vehicles, such as hybrid and electric vehicles. However, scaling up the lithium battery technology for these applications is still problematic since issues such as safety, costs, wide operational temperature and materials availability, are still to be resolved. This review focuses first on the present status of lithium battery technology, then on its near future development and finally it examines important new directions aimed at achieving quantum jumps in energy and power content.

scholarly journals Day-ahead renewable scenario forecasts based on generative adversarial networks

2020 ◽  
Author(s):  
Congmei Jiang ◽  
Yongfang Mao ◽  
Yi Chai ◽  
Mingbiao Yu
Keyword(s):  
Power Systems ◽  
Renewable Resources ◽  
Large Scale ◽  
Generative Adversarial Networks ◽  
Power Sources ◽  
Renewable Power ◽  
Adversarial Networks ◽  
Future Behavior ◽  
Large Scale Integration ◽  
Scale Integration

<p>With the increasing penetration of renewable resources such as wind and solar, the operation and planning of power systems, especially in terms of large-scale integration, are faced with great risks due to the inherent stochasticity of natural resources. Although this uncertainty can be anticipated, the timing, magnitude, and duration of fluctuations cannot be predicted accurately. In addition, the outputs of renewable power sources are correlated in space and time, and this brings further challenges for predicting the characteristics of their future behavior. To address these issues, this paper describes an unsupervised method for renewable scenario forecasts that considers spatiotemporal correlations based on generative adversarial networks (GANs), which have been shown to generate high-quality samples. We first utilized an improved GAN to learn unknown data distributions and model the dynamic processes of renewable resources. We then generated a large number of forecasted scenarios using stochastic constrained optimization. For validation, we used power-generation data from the National Renewable Energy Laboratory wind and solar integration datasets. The experimental results validated the effectiveness of our proposed method and indicated that it has significant potential in renewable scenario analysis.</p>

Pact All Electric - One Step Closer to Autonomy

2021 ◽  
Author(s):  
Christian Petersen ◽  
Ola Strand ◽  
Espen Sten Johansen ◽  
Dag Almar Hansen ◽  
Dag Ketil Fredheim ◽  
...  
Keyword(s):  
Remote Control ◽  
Environmental Impact ◽  
Power Consumption ◽  
Low Power ◽  
Control Systems ◽  
Government Support ◽  
Condition Based Maintenance ◽  
Low Power Consumption ◽  
Hydraulic Systems ◽  
Power Sources

Abstract E&P companies are increasingly challenged with cost-effective development or upgrade of remote fields, ensuring crew safety and regulatory requirements for reducing environmental impact. Remote operations and unmanned platforms have significantly lower CO2 emissions and lowerCAPEX and OPEX in areas of sparse infrastructure. Complete electrification of safety critical control systems is key to maintain safe production while digitization, automation and condition based maintenance reduce required on-site personnel. An all-electric wellhead- and production tree valve actuator for handling emergency situations has been developed under a Joint Industry Project by Equinor, Baker Hughes and TECHNI. PACT utilize a completely new, patent pending failsafe mechanism that is inherently safe without requirement for redundancy. PACT contains an embedded controller and sensors with extremely low power consumption rendering it well suited for solar/alternate power sources. A new super-capacitor is under development in partnership with the University of Southeast Norway, that in combination with the fastest failsafe mechanism ever ensure safety in all modes of operation, even with all lines down or consumed by flames. Electric actuators offer significant CAPEX savings over hydraulic actuators by eliminating costly hydraulic control systems and hydraulic lines as well as saving space and weight. Overall system cost is significantly lower than hydraulic systems (Equinor estimates at around USD 2million per well for an unmanned platform) while also reducing emissions and environmental impact. Globally, there are approximately 7000 offshore platforms of which 1600 are unmanned (200 in the Middle East). The existing population of unmanned platforms is undergoing continual upgrades and there are significant cost savings by using the PACT as a drop-in replacement for existing hydraulic systems, while enabling fully digitized, remote control and autonomous operations. Low power consumption, weight and a small footprint renders it equally suited for land wells, including retrofit upgrades without reinforcing infrastructure. PACT is designed to be an integral part of automated and remote-control systems and the modular technology is also being adopted for subsea trees, as well as other mission critical pressure control applications. Given the significant benefits in simplifying operations and reducing cost while improving HSSE, leading E&P companies including Equinor, Total, Aker BP and others have chosen electric operations as future technology platform for both topside and subsea operations. Embedded force-, pressure-, temperature- and vibration sensors enable data-driven, fact- and condition based maintenance. Aggregating real-time and historical data, component- and system models ensures fully remote/autonomous operation with a digital twin. The novel failsafe-mechanism fronts the most reliable action of all times while the patent pending solution ensures closing times down to 1 second. In 2020 the consortium was awarded USD 950 000 in government support funding and in May 2021 PACT won OTC Spotlight on New Technology award. The paper aims to show how the technology works and underline why it will take a place in the future of well control and production.

scholarly journals Probabilistic Optimal Power Flow for Day-Ahead Dispatching of Power Systems with High-Proportion Renewable Power Sources

2020 ◽  
Vol 12 (2) ◽  
pp. 518
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Yi Yang ◽  
Abebe Tilahun Tadie ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
Power Sources ◽  
Renewable Power ◽  
Point Estimate Method ◽  
Optimal Power ◽  
Simulation Results ◽  
Point Estimation Method

With the increasing proportion of uncertain power sources in the power grid; such as wind and solar power sources; the probabilistic optimal power flow (POPF) is more suitable for the steady state analysis (SSA) of power systems with high proportions of renewable power sources (PSHPRPSs). Moreover; PSHPRPSs have large uncertain power generation prediction error in day-ahead dispatching; which is accommodated by real-time dispatching and automatic generation control (AGC). In summary; this paper proposes a once-iterative probabilistic optimal power flow (OIPOPF) method for the SSA of day-ahead dispatching in PSHPRPSs. To verify the feasibility of the OIPOPF model and its solution algorithm; the OIPOPF was applied to a modified Institute of Electrical and Electronic Engineers (IEEE) 39-bus test system and modified IEEE 300-bus test system. Based on a comparison between the simulation results of the OIPOPF and AC power flow models; the OIPOPF model was found to ensure the accuracy of the power flow results and simplify the power flow model. The OIPOPF was solved using the point estimate method based on Gram–Charlier expansion; and the numerical characteristics of the line power were obtained. Compared with the simulation results of the Monte Carlo method; the point estimation method based on Gram–Charlier expansion can accurately solve the proposed OIPOPF model

Investigation and Optimization of Power Based Smart Home Module Integrated with Automatic Solar Tracking System and MPPT Technique

2019 ◽  
Vol 889 ◽  
pp. 526-532
Author(s):  
Thai Viet Dang ◽  
Si Thong Dinh ◽  
Xuan Toi Bui
Keyword(s):  
Solar Cell ◽  
Solar Energy ◽  
Power Consumption ◽  
Power Systems ◽  
Tracking System ◽  
Electrical Power ◽  
Research Result ◽  
Electrical Energy ◽  
Cell System ◽  
Power Sources

Currently, the world has a lot of research and practical application of intelligent building systems integrated with intelligent power systems. Because Vietnam is a country with potential for solar energy, the integrator of solar energy is being strongly developed. However, the research result of the optimization of electrical energy used by the intelligent type solar integration is rare. This paper presents the design and structure of the module of intelligent control and monitoring via wireless network integrated with the automatic solar concentration system. The system allows easy connection and operation of all electrical power sources including the dispersal solar power to ensure the efficient and lower power consumption. In addition, the solar cell system is applied the Maximum Power Point Tracking technique (MPPT), which helps to stabilize and improve the power generation efficiency of the PV panels. The test results on the module showed absorption performance of automatic solar-cell flat plate systems is raised by 20-30% and power consumption in small households reduced approximately 30%.

scholarly journals Optimal design of a coproduction system of electricity and hydrogen to manage imbalances resulting from forecast errors in photovoltaic outputs

2018 ◽  
Vol 64 ◽  
pp. 06009
Author(s):  
Matsuhashi Ryuji ◽  
Yoshioka Tsuyoshi
Keyword(s):  
Power Systems ◽  
Mixed Integer ◽  
Renewable Portfolio Standard ◽  
Forecast Errors ◽  
Photovoltaic Systems ◽  
Power Sources ◽  
Renewable Power ◽  
High Tariff ◽  
Power To Gas ◽  
Feed In Tariff

Renewable power sources are increasing mainly because of economic institutions such as renewable portfolio standard or feed-in tariff program. In Japan, the feed-in tariff program triggered explosive growth of photovoltaic systems because of its high tariff level. Although mass introduction of photovoltaic systems certainly contributes to reduce CO2 emissions, it causes instability issues in power systems. One of the most serious issues is management of imbalances resulting from forecast errors in photovoltaic outputs. On the other hand, power-to-gas technologies are attracting our attention, since these technologies could convert surplus of renewable energy to other energy carriers. In particular, hydrogen is efficiently produced from electricity using electrolysis. We could use hydrogen to manage the imbalances by the system, in which uncertain parts of photovoltaic outputs are used to produce hydrogen. In this paper, we propose a coproduction system of electricity and hydrogen to reduce the imbalances. For this purpose, a novel mathematical model is developed, in which we determine the structure of the coproduction system with a mixed integer linear programming method. Evaluated results indicated that the coproduction system is economical under appropriate capacity of the electrolyzer.

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