Demand Side Management for Reducing Rolling Blackouts Due to Power Supply Deficit in Sumatra

2014 ◽  
Vol 69 (5) ◽  
Author(s):  
Husna Syadli ◽  
Md Pauzi Abdullah ◽  
Muhammad Yusri Hassan ◽  
Faridah Hussin
Keyword(s):  
Power Systems ◽  
Customer Service ◽  
Power Supply ◽  
Management Strategies ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand Growth ◽  
Save Energy ◽  
The Impact

When the high electricity demand growth is not matched by growth in generating sufficient capacity, deficit cannot be avoided. In Sumatera, power outages of up to 6 hours per day are part of the power crisis experienced. To date, deficits experienced by Sumatera require better management strategy and operation of electric power systems, taking into account the security system, reliability and customer service. This paper briefly discusses the impact of rolling blackouts on the community's economy and proposed demand-side management strategies as short term measure to overcome the power supply deficit in Sumatera. From the analysis, electricity savings in household equipment can save energy consumption by 98.79 MW at peak load and 97.55 MW for off peak load time. 

scholarly journals Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 370 ◽  
Author(s):  
Mayank Singh ◽  
Rakesh Jha
Keyword(s):  
Renewable Energy ◽  
Peak Load ◽  
Object Oriented ◽  
Demand Side Management ◽  
Demand Side ◽  
Multi Objective ◽  
Service Contracts ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
The Impact

This paper proposes Object-Oriented Usability Indices (OOUI) for multi-objective Demand Side Management (DSM). These indices quantify the achievements of multi-objective DSM in a power network. DSM can be considered as a method adopted by utilities to shed some load during peak load hours. Usually, there are service contracts, and the curtailments or dimming of load are automatically done by service providers based on contract provisions. This paper formulates three indices, namely peak power shaving, renewable energy integration, and an overall usability index. The first two indices indicate the amount of peak load shaving and integration of renewable energy, while the third one combines the impact of both indices and quantifies the overall benefit achieved through DSM. The application of the proposed indices is presented through simulation performed in a grid-tied microgrid environment for a multi-objective DSM formulation. The adopted microgrid structure consists of three units of diesel generators and two renewable energy sources. Simulation has been done using MATLAB software. Teaching-Learning-Based Optimization (TLBO) is adopted as the optimization tool due to its simplicity and independency of algorithm-specific control parameters. Five different cases of renewable energy availability with results validate the efficiency of the proposed approach. The results indicate the usefulness in determining the suitable condition regarding DSM application.

scholarly journals A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options

2021 ◽  
pp. 155-173
Author(s):  
Theresa Ladwig
Keyword(s):  
System Integration ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Load Increase ◽  
Flexibility Options ◽  
The Impact ◽  
Economic Comparison

AbstractThis chapter assesses the techno-economic characteristics of demand side management (DSM) in comparison with other flexibility options (e.g., energy storages) in order to estimate its flexibility and benefit for the system integration of renewable energy sources (RES). The results show that load shedding and load shifting are less flexible than other flexibility options and can therefore only balance short-term fluctuations. In contrast, load increase is more flexible and can integrate excess feed-in from RES also over longer periods. Analysis about the impact of DSM on other flexibility options show, that DSM lowers utilization and contribution margin of peak load plants and energy storages, while it increases both for baseload power plants. More electricity is consumed nationally due to DSM as it decreases imports and exports.

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 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.

scholarly journals Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1618
Author(s):  
Mohanasundaram Anthony ◽  
Valsalal Prasad ◽  
Raju Kannadasan ◽  
Saad Mekhilef ◽  
Mohammed H. Alsharif ◽  
...  
Keyword(s):  
Wind Energy ◽  
Energy Cost ◽  
Fuzzy Controller ◽  
Residential Buildings ◽  
Peak Load ◽  
Demand Side Management ◽  
Consumption Pattern ◽  
Demand Side ◽  
Pv System ◽  
Inference System

This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumption pattern (4 kW of connected load) is allowed to consume energy from the grid and hybrid resources located at the demand side and classified as base, priority, short-term, and schedulable loads. The simulation results identify that the proposed controller manages the demand side management (DSM) techniques for peak load shifting and valley filling effectively with renewable sources. Also, energy costs and savings for the home environment are evaluated using the proposed controller. Further, the energy conservation technique is studied by increasing renewable conversion efficiency (18% to 23% for PV and 35% to 45% for the VAWT model), which reduces the spending of 0.5% in energy cost and a 1.25% reduction in grid demand for 24-time units/day of the simulation study. Additionally, the proposed controller is adapted for computing energy cost (considering the same load pattern) for future demand, and it is exposed that the PV-wind energy cost reduced to 6.9% but 30.6% increase of coal energy cost due to its rise in the Indian energy market by 2030.

scholarly journals Demand-Side Management with a State Space Consideration

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2444 ◽  
Author(s):  
HyungSeon Oh
Keyword(s):  
State Space ◽  
Cost Minimization ◽  
Cost Effective ◽  
Demand Side Management ◽  
Limiting Factors ◽  
Demand Side ◽  
Power Networks ◽  
Social Welfare Maximization ◽  
Physical Reasons ◽  
The Impact

Power networks are gateways to transfer power from generators to end-users. Often, it is assumed that the transfer occurs freely without any limiting factors. However, power flows over a network can be limited by predetermined limits that may come from physical reasons, such as line capacity or Kirchhoff’s laws. When flow is constrained by these limits, this is called congestion, which reduces the energy efficiency and splits the price for electricity across the congested lines. One promising, cost-effective way to relieve the impact of the congestion is demand-side management (DSM). However, it is unclear how much DSM can impact congestion and where it can control the demand. This paper proposes a new DSM mechanism based on locational willingness-to-pay (WTP) centered around income statistics; utilizes a state-space tool to determine the possibility to alter prices by DSM; and formulates a convex optimization problem to decide the DSM. The proposed methodology is tested on IEEE (Institute of Electrical and Electronics Engineers) systems with two commonly used objectives: cost minimization and social welfare maximization.

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