scholarly journals Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 576
Author(s):  
Mostafa Nasouri Gilvaei ◽  
Mahmood Hosseini Imani ◽  
Mojtaba Jabbari Ghadi ◽  
Li Li ◽  
Anahita Golrang
Keyword(s):  
Energy Storage ◽  
Solar Power ◽  
Unit Commitment ◽  
Thermal Power ◽  
System Structure ◽  
Compressed Air ◽  
Mixed Integer ◽  
Compressed Air Energy Storage ◽  
Concentrating Solar Power ◽  
Unit Commitment Problem

With the advent of restructuring in the power industry, the conventional unit commitment problem in power systems, involving the minimization of operation costs in a traditional vertically integrated system structure, has been transformed to the profit-based unit commitment (PBUC) approach, whereby generation companies (GENCOs) perform scheduling of the available production units with the aim of profit maximization. Generally, a GENCO solves the PBUC problem for participation in the day-ahead market (DAM) through determining the commitment and scheduling of fossil-fuel-based units to maximize their own profit according to a set of forecasted price and load data. This study presents a methodology to achieve optimal offering curves for a price-taker GENCO owning compressed air energy storage (CAES) and concentrating solar power (CSP) units, in addition to conventional thermal power plants. Various technical and physical constraints regarding the generation units are considered in the provided model. The proposed framework is mathematically described as a mixed-integer linear programming (MILP) problem, which is solved by using commercial software packages. Meanwhile, several cases are analyzed to evaluate the impacts of CAES and CSP units on the optimal solution of the PBUC problem. The achieved results demonstrate that incorporating the CAES and CSP units into the self-scheduling problem faced by the GENCO would increase its profitability in the DAM to a great extent.

Day-ahead offering strategy in the market for concentrating solar power considering thermoelectric decoupling by a compressed air energy storage

2022 ◽  
Vol 305 ◽  
pp. 117804
Author(s):  
Shitong Sun ◽  
S. Mahdi Kazemi-Razi ◽  
Lisa G. Kaigutha ◽  
Mousa Marzband ◽  
Hamed Nafisi ◽  
...  
Keyword(s):  
Energy Storage ◽  
Solar Power ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Concentrating Solar Power

scholarly journals Stirling-powered solar dish collector with compressed air energy storage system

2021 ◽  
Vol 313 ◽  
pp. 06003
Author(s):  
Giovanni Ricco
Keyword(s):  
Energy Storage ◽  
Solar Power ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Concentrated Solar Power ◽  
Total Performance ◽  
Proper Energy

At present time, the SE applied to solar dish reflectors is not competitive compared to other concentrated solar power technologies because Stirling CSP equipment has complex and expensive engines and does not have a proper energy storage system. This paper introduces Stirling solar dish technology, proposes a layout of a simple SE with compressed air storage system, and examines the total performance of the equipment.

scholarly journals Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System

2020 ◽  
Vol 12 (23) ◽  
pp. 10100
Author(s):  
Khalid Alqunun ◽  
Tawfik Guesmi ◽  
Abdullah F. Albaker ◽  
Mansoor T. Alturki
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Unit Commitment ◽  
Mixed Integer ◽  
Master Problem ◽  
Thermal Unit ◽  
Unit Commitment Problem ◽  
Battery Energy Storage ◽  
Commitment Problem ◽  
Battery Energy

This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by a chance constraint to escape the probabilistic infeasibility generated by classical approximations of wind power. Furthermore, a mixed-integer linear programming algorithm was applied to solve the unit commitment problem. The uncertainty of wind power was classified as a sub-problem and separately computed from the master problem of the mixed-integer linear programming. The master problem tracked and minimized the overall operation cost of the entire model. To ensure a feasible and efficient solution, the formulation of the wind-battery-thermal unit commitment problem was designed to gather all system operating constraints. The solution to the optimization problem was procured on a personal computer using a general algebraic modeling system. To assess the performance of the proposed model, a simulation study based on the ten-unit power system test was applied. The effects of battery energy storage and wind power were deeply explored and investigated throughout various case studies.

scholarly journals Optimized Regulation of Hybrid Adiabatic Compressed Air Energy Storage System for Zero-Carbon-Emission Micro-Energy Network

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiwei Jia ◽  
Tingxiang Liu ◽  
Xiaotao Chen ◽  
Laijun Chen ◽  
Yang Si ◽  
...  
Keyword(s):  
Energy Storage ◽  
Carbon Emission ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Mixed Integer ◽  
Compressed Air Energy Storage ◽  
Energy Hub ◽  
Zero Carbon ◽  
Energy Network

Improving electricity and heat utilization can speed up China’s decarbonization process in the northwest villages on the Qinghai-Tibet Plateau. In this paper, we proposed an architecture with zero-carbon-emission micro-energy network (ZCE-MEN) to increase the reliability and flexibility of heat and electricity. The advanced adiabatic compressed air energy storage system (AA-CAES) hybrid with solar thermal collector (STC) is defined as hybrid adiabatic compressed air energy storage system (HA-CAES). The ZCE-MEN adopts HA-CAES as the energy hub, which is integrated with power distribution network (PDN) and district heating network (DHN). The STC can greatly improve the efficiency of HA-CAES. Furthermore, it can provide various grades of thermal energy for the residents. The design scheme of HA-CAES firstly considers the thermal dynamics and pressure behavior to assess its heating and power capacities. The optimal operating strategy of ZCE-MEN is modeled as mixed-integer nonlinear programming (MINLP) and converts this problem into a mixed-integer linear programming problem (MILP) that can be solved by CPLEX. The simulation results show that the energy hub based on HA-CAES proposed in this paper can significantly improve ZCE-MEN efficiency and reduce its operation costs. Compared with conventional AA-CAES, the electric to electric (E-E) energy conversion efficiency of the proposed system is increased to 65.61%, and the round trip efficiency of the system is increased to 70.18%. Besides, operating costs have been reduced by 4.78% in comparison with traditional micro-energy network (MEN).

scholarly journals The Knowledge Mapping of Concentrating Solar Power Development Based on Literature Analysis Technology

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1988 ◽  
Author(s):  
Qimei Chen ◽  
Yan Wang ◽  
Jianhan Zhang ◽  
Zhifeng Wang
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Solar Power ◽  
Thermal Power ◽  
Sustainable Growth ◽  
Thermal Engineering ◽  
Human Society ◽  
Concentrating Solar Power ◽  
Development Trends

Decreasing the levelized cost of renewable energy and improving the stability of power systems are the key requirements for realizing the sustainable growth of power production capacity. Concentrating solar power (CSP) technology with thermal energy storage can overcome the intermittent and unstable nature of solar energy, and its development is of great significance for the sustainable development of human society. In this paper, topic discovery and clustering were studied using bibliometric, social network analysis and information visualization technology based on the Web of Science database (SCI-Expanded) and the incoPat global patent database. The technology searched for papers and patents related to CSP technology to reveal the development trends of CSP technology and provide the references for related technical layout and hot spot tracking. The results show that the global output of CSP technology papers has continued to grow steadily, whereas the number of patent applications showed a significant downtrend. CSP technology, which is at the initial stage of commercialization, still needs technological breakthroughs. Technological innovation that integrates thermal engineering, control engineering, physics, chemistry, materials, and other disciplines may become an effective path for CSP technology development in the future. CSP technology research shows increasing research and development trends in high-temperature receivers, phase-change thermal energy storage, the overall performance of thermal power generation systems, and a development trend from a single technology to multi-energy complementary systems.

scholarly journals On the Way to Integrate Increasing Shares of Variable Renewables in China: Experience from Flexibility Modification and Deep Peak Regulation Ancillary Service Market Based on MILP-UC Programming

2021 ◽  
Vol 13 (5) ◽  
pp. 2446
Author(s):  
Yinhe Bu ◽  
Xingping Zhang
Keyword(s):  
Unit Commitment ◽  
Thermal Power ◽  
Mixed Integer ◽  
Ancillary Service ◽  
Unit Commitment Problem ◽  
Service Market ◽  
Price Rule ◽  
Commitment Problem ◽  
The Government ◽  
Price Differences

China has declared ambitious carbon emission reduction targets and will integrate increasing shares of variable renewables for the next decades. The implementation for flexibility modification of thermal power units and deep peak regulation ancillary service market alleviates the contradiction between rapid capacity growth and limited system flexibility. This paper establishes three flexibility modification schemes and two price rules for simulation and proposes an analysis framework for unit commitment problem based on mixed-integer linear programming to evaluate the policy mix effects. Results confirm the promoting effects of flexibility modification on integrating variable renewables and illustrate diverse scheme selections under different renewables curtailment. Particularly, there is no need for selecting expensive schemes which contain more modified units and more developed flexibility, unless the curtailment decrement is compulsorily stipulated or worth for added modification cost. Similarly, results also prove the revenue loss compensation effect of deep peak regulation ancillary service market and illustrate diverse price rule selections under different curtailment intervals. Price rule with more subdivided load intervals and bigger price differences among them is more effective, especially under the higher requirement for curtailment rate. Therefore, the government should further enlarge flexibility modification via but not limited to more targeted compensation price, while generators should further consider a demand-based investment.

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