USE OF PUMPED-HYDRO AS PEAK-LOAD MANAGEMENT PLANT IN OPTIMAL SCHEDULING OF POWER SYSTEMS

1997 ◽  
Vol 25 (10) ◽  
pp. 1047-1061 ◽  
Author(s):  
M. R. MOHAN ◽  
S. R. PARANJOTHI ◽  
S. PRINCE ISRAEL
Keyword(s):  
Power Systems ◽  
Peak Load ◽  
Optimal Scheduling ◽  
Load Management

An Optimal Scheduling for Wind Power Integrated Power Systems

2014 ◽  
Vol 494-495 ◽  
pp. 1660-1665
Author(s):  
Xing Yu Li ◽  
Dong Mei Zhao
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Thermal Power ◽  
Peak Load ◽  
Optimal Scheduling ◽  
Operating Characteristics ◽  
Spinning Reserve ◽  
Hydro Power ◽  
Integrated Power Systems

Optimal Scheduling is an important issue in the power system including wind power, thermal power and hydro power. In this paper, a model is built to minimize the energy consumption and operating costs, considering the spinning reserve for wind power and operating characteristics of the units. During the peak load period, a hydro-thermal scheduling strategy is considered due to the peak shaving ability of hydraulic power plants. The solving process is based on the particle swarm optimization algorithm, and in the case study, a scheduling scheme is obtained for coordinated operation of wind power integrated power systems.

scholarly journals Price-Based Demand Side Response Programs and Their Effectiveness on the Example of TOU Electricity Tariff for Residential Consumers

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 287
Author(s):  
Jerzy Andruszkiewicz ◽  
Józef Lorenc ◽  
Agnieszka Weychan
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Peak Load ◽  
Demand Side ◽  
Case Study Analysis ◽  
Efficiency Assessment ◽  
Electricity Use ◽  
Residential Electricity ◽  
Demand Side Response ◽  
Residential Consumers

Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it is desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose of the study is developing a method for analysing electricity tariff’s effectiveness in terms of demand side response purposes based on statistical data concerning tariffs’ use by the consumers and price elasticity of their electricity demand. A case-study analysis is presented for residential electricity consumers, shifting the settlement and consequently the profile of electricity use from a flat to a time-of-use tariff, based on the comparison of the considered tariff groups. Additionally, a correlation analysis is suggested to verify tariffs’ influence of the power system’s peak load based on residential electricity tariffs in Poland. The presented analysis proves that large residential consumers aggregated by tariff incentives may have a significant impact on the power system’s load and this impact changes substantially for particular hours of a day or season. Such efficiency assessment may be used by both energy suppliers to optimize their market purchases and by distribution system operators in order to ensure adequate generation during peak load periods.

scholarly journals Analysis of Various Options for Balancing Power Systems’ Peak Load

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 513
Author(s):  
Henryk Majchrzak ◽  
Michał Kozioł
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Peak Load ◽  
Electric Energy ◽  
End Users ◽  
Energy Market ◽  
Market Participants ◽  
Continuous Energy ◽  
Storage Solutions ◽  
Transmission And Distribution

The balancing of the power of the Polish Power System (KSE) is a key element in ensuring the safety of electric energy supplies to end users. This article presents an analysis of the power demand in power systems (PS), with emphasis on the typical power variability both in subsequent hours of the day and on particular days and in particular months each year. The methodology for calculating the costs of electric energy undelivered to the end users and the amount of these costs for KSE is presented. Different possibilities have been analyzed for balancing power systems’ peak load and assumptions have been formulated for calculating the amount of the related costs. On this basis, a comparative analysis has been made of the possibility to balance peak load using operators’ system services, trans-border connections, and various energy storage solutions. On the basis of the obtained results, optimal tools have been proposed for market-based influence from transmission and distribution system operators on energy market participants’ behaviors in order to ensure the power systems’ operating safety and continuous energy deliveries to end users.

scholarly journals Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1688 ◽  
Author(s):  
C. Birk Jones ◽  
Matthew Lave ◽  
William Vining ◽  
Brooke Marshall Garcia
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Low Voltage ◽  
Peak Load ◽  
Electric Power Systems ◽  
Primary System ◽  
Maximum Increase ◽  
Actual Distribution ◽  
The Impact ◽  
Ev Charging

An increase in Electric Vehicles (EV) will result in higher demands on the distribution electric power systems (EPS) which may result in thermal line overloading and low voltage violations. To understand the impact, this work simulates two EV charging scenarios (home- and work-dominant) under potential 2030 EV adoption levels on 10 actual distribution feeders that support residential, commercial, and industrial loads. The simulations include actual driving patterns of existing (non-EV) vehicles taken from global positioning system (GPS) data. The GPS driving behaviors, which explain the spatial and temporal EV charging demands, provide information on each vehicles travel distance, dwell locations, and dwell durations. Then, the EPS simulations incorporate the EV charging demands to calculate the power flow across the feeder. Simulation results show that voltage impacts are modest (less than 0.01 p.u.), likely due to robust feeder designs and the models only represent the high-voltage (“primary”) system components. Line loading impacts are more noticeable, with a maximum increase of about 15%. Additionally, the feeder peak load times experience a slight shift for residential and mixed feeders (≈1 h), not at all for the industrial, and 8 h for the commercial feeder.

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