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Understanding Energy Bills
Published in Barney L. Capehart, Wayne C. Turner, William J. Kennedy, Guide to Energy Management, 2020
Barney L. Capehart, Wayne C. Turner, William J. Kennedy
Although individual residential demand is small, collectively residential users place a peak demand burden on the utility system because the majority of them use their electricity at the same times of the day during the same months of the year. Some utilities charge more for energy during peaking months in an attempt to solve this problem. Many utilities have an optional time-of-day or time-of-use rate which is supposed to help alleviate the daily peaking problem by charging customers more for electric use during these peak periods. A number of utilities also have a load management program to control customers’ appliances.
Understanding Energy Bills
Published in Barney L. Capehart, William J. Kennedy, Wayne C. Turner, Guide to Energy Management, 2020
Barney L. Capehart, William J. Kennedy, Wayne C. Turner
Although individual residential demand is small, collectively residential users place a peak demand burden on the utility system because the majority of them use their electricity at the same times of the day during the same months of the year. Some utilities charge more for energy during peaking months in an attempt to solve this problem. Many utilities have an optional time-of-day or time-of-use rate which is supposed to help alleviate the daily peaking problem by charging customers more for electric use during these peak periods. A number of utilities also have a load management program to control customers’ appliances.
Electrical System Optimization
Published in Albert Thumann, Scott Dunning, Plant Engineers and Managers Guide to Energy Conservation, 2020
Load management is an umbrella term that describes the methods and technologies a utility can use to control the timing and peak of customer power use. Its objective is to reduce the demand for electricity during peak use periods and increase the demand during off-peak periods. The utility rate structure is the vehicle used to meet this objective. The utility rate structure penalizes a customer for peak power demands. Other structures have penalties to discourage the use of electricity during certain times of the day. Load management enables the utility company to use its power generating equipment more efficiently.
Novel Metaheuristic Optimizers Based Load Shifting and Flexible Load Curve Techniques for Demand-side Load Management
Published in Smart Science, 2023
Ashokkumar Parmar, Pranav Darji
To reduce imported energy as well as to improve efficiency and reliability, renewable resources are integrated at the demand side, and demand-side resource management is implemented to ensure demand and supply balance. Demand-side load management is adopted to change the load profile when limited energy resources are available, or the available infrastructure is to be used most efficiently. In demand-side load management, the end user’s activities are controlled by rescheduling their operations, encouraging customers to operate some of their appliances in the periods when considerable renewable energy is available and discourages customers for energy consumption during the periods of generation crisis. Demand-side load management is used to changes in the original electrical energy usage patterns of customers according to changes in the market prices (electricity cost); hence, these usage pattern changes reduce the overall cost per unit of electricity [8–10].
A novel framework-based cuckoo search algorithm for sizing and optimization of grid-independent hybrid renewable energy systems
Published in International Journal of Green Energy, 2019
Mohamed A. Mohamed, Ali M. Eltamaly, Abdulrahman I. Alolah, A.Y. Hatata
Modeling of the HRES is used to perform the design and sizing stage in different operating performances. The HRES used in this study contains PV array, wind turbines, battery bank, DG, power electronics converters, dummy load, and battery charger as shown in Figure 1. The idea of load management is to manage the load to be correlated with the available generation from renewable energy sources. The main idea here is to feed the load first from WTs because its output power is AC and it is better to use it directly to feed the AC load and the rest of the load requirements can be obtained from PV array if there is generation power from it otherwise the battery storage can feed the deficit power. In case of the generated power from the wind and PV is greater than the load requirements the extra power will charge the battery if it is State of Charge (SOC) is still lower than SOCmax otherwise, it will go to the dummy load. In case of the generated power from wind and PV is lower than the load, the rest of the power needed can be obtained from battery bank in case of its charge greater than SOCmin, otherwise the DG should work to feed the energy needed for load. In case of the load is greater than the generated power from renewable energy sources, battery bank, and DG, the loss of load will occur and it should be stored in the NPSP to determine the LOLP. The dispatch of the proposed HRES is shown in the flowchart of Figure 2. In the following section, a detailed modeling of each component of HRES is introduced and discussed.
Load Management Framework in Smart Grids: A Meta-Analysis and Review
Published in IETE Technical Review, 2022
Ernad Jabandžić, Tatjana Konjić, Dženana Tomašević
In order to achieve the previously listed objectives, it is necessary to have an adjustable and flexible load in given system conditions and current production [13]. The adjustment and flexibility of the system are achieved by adequate load management. Load management contributes to power system efficiency in terms of better utilization of system resources, production capacities of RES, and energy storage capacity. In that way, one achieves decrease in production cost and gas emission making the price consequently lower. In addition, load management process can influence the reduction of load peaks and prevent unwanted system impacts.