Short-term optimal scheduling of cascade hydropower plants shaving peak load for multiple power grids

2021 ◽  
Author(s):  
Peilin Wang ◽  
Wenlin Yuan ◽  
Chengguo Su ◽  
Yang Wu ◽  
Lu Lu ◽  
...  
Keyword(s):  
Peak Load ◽  
Power Grids ◽  
Optimal Scheduling ◽  
Short Term ◽  
Hydropower Plants ◽  
Multiple Power

An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids

Energy ◽  
2018 ◽  
Vol 163 ◽  
pp. 722-733 ◽  
Author(s):  
Chuntian Cheng ◽  
Chengguo Su ◽  
Peilin Wang ◽  
Jianjian Shen ◽  
Jianyu Lu ◽  
...  
Keyword(s):  
Power Grids ◽  
Short Term ◽  
Peak Shaving ◽  
Hydropower Plants ◽  
Multiple Power ◽  
Pumped Storage

scholarly journals Optimal Scheduling of Large-Scale Wind-Hydro-Thermal Systems with Fixed-Head Short-Term Model

2020 ◽  
Vol 10 (8) ◽  
pp. 2964 ◽  
Author(s):  
Thang Trung Nguyen ◽  
Ly Huu Pham ◽  
Fazel Mohammadi ◽  
Le Chi Kien
Keyword(s):  
Power Plants ◽  
Search Algorithm ◽  
Thermal Power ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Optimal Scheduling ◽  
Thermal Power Plants ◽  
Short Term ◽  
Thermal Systems ◽  
Hydropower Plants

In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective of the problem is to minimize the total fuel cost for generating the electricity of thermal power plants, where energy from hydropower plants and wind turbines is exploited absolutely. The fixed-head short-term model is taken into account, by supposing that the water head is constant during the operation time, while reservoir volume and water balance are constrained over the scheduled time period. The proposed MASCSA is compared to other implemented cuckoo search algorithms, such as the conventional Cuckoo Search Algorithm (CSA) and Snap-Drift Cuckoo Search Algorithm (SDCSA). Two large systems are used as study cases to test the real improvement of the proposed MASCSA over CSA and SDCSA. Among the two test systems, the wind-hydro-thermal system is a more complicated one, with two wind farms and four thermal power plants considering valve effects, and four hydropower plants scheduled in twenty-four one-hour intervals. The proposed MASCSA is more effective than CSA and SDCSA, since it can reach a higher success rate, better optimal solutions, and a faster convergence. The obtained results show that the proposed MASCSA is a very effective method for the hydrothermal system and wind-hydro-thermal systems.

Short-term peak shaving operation for multiple power grids with pumped storage power plants

2015 ◽  
Vol 67 ◽  
pp. 570-581 ◽  
Author(s):  
Chun-Tian Cheng ◽  
Xiong Cheng ◽  
Jian-Jian Shen ◽  
Xin-Yu Wu
Keyword(s):  
Power Plants ◽  
Power Grids ◽  
Short Term ◽  
Peak Shaving ◽  
Multiple Power ◽  
Pumped Storage

Regional super power grids face political obstacles

2021 ◽  
Keyword(s):  
Electricity Generation ◽  
Fossil Fuels ◽  
Peak Load ◽  
Global Scale ◽  
Power Grids ◽  
Submarine Cable ◽  
Content Type ◽  
Cable Industry ◽  
Global Power ◽  
Load Generation

Significance Its proponents argue that interconnecting the world’s power grids would make it easier for renewable energy, however remotely it is generated, to replace most fossil fuels in electricity generation. Implementation remains a distant, and politically fraught, possibility but regional super-grids look increasingly feasible and could boost the submarine cable industry. Impacts Load-balancing on a global scale could reduce peak load generation needs by an estimated 5-10%, saving billions in investment. Power grids require estimated investment of USD14tn by 2050, nearly as much as projected spending on new renewables capacity. International rules on carbon pricing and taxing would be a prerequisite for a global power grid.

Performance of Existing Methods in Baselining Demand Response from Commercial Building HVAC Fans

2021 ◽  
pp. 1-39
Author(s):  
Shunbo Lei ◽  
Johanna Mathieu ◽  
Rishee Jain
Keyword(s):  
Demand Response ◽  
Interpolation Method ◽  
Thermal Inertia ◽  
Linear Interpolation ◽  
Power Grids ◽  
University Of Michigan ◽  
Commercial Building ◽  
Short Term ◽  
Linear Interpolation Method ◽  
Different Characteristics

Abstract Commercial buildings generally have large thermal inertia, and thus can provide services to power grids (e.g., demand response (DR)) by modulating their Heating, Ventilation, and Air Conditioning (HVAC) systems. Shifting consumption on timescales of minutes to an hour can be accomplished through temperature setpoint adjustments that affect HVAC fan consumption. Estimating the counterfactual baseline power consumption of HVAC fans is challenging but is critical for assessing the capacity and participation of DR from HVAC fans in grid-interactive efficient buildings (GEBs). DR baseline methods have been developed for whole-building power profiles. This work evaluates those methods on total HVAC fan power profiles, which have different characteristics than whole-building power profiles. Specifically, we assess averaging methods (e.g., Y-day average, HighXofY, and MidXofY, with and without additive adjustments), which are the most commonly used in practice, and a least squares-based linear interpolation method recently developed for baselining HVAC fan power. We use empirical submetering data from HVAC fans in three University of Michigan buildings in our assessment. We find that the linear interpolation method has a low bias and by far the highest accuracy, indicating that it is potentially the most effective existing baseline method for quantifying the effects of short-term load shifting of HVAC fans. Overall, our results provide new insights on the applicability of existing DR baseline methods to baselining fan power and enable more widespread contribution of GEBs to DR and other grid services.

Sign in / Sign up

Export Citation Format

Share Document