Demand Side Management for Industrial Sector Considering Peak Load Reduction

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.

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

Jurnal Teknologi ◽

10.11113/jt.v69.3202 ◽

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.

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The potential and strategies for demand-side management within the industrial sector in Jordan—I

Energy Conversion and Management ◽

10.1016/0196-8904(91)90118-3 ◽

1991 ◽

Vol 32 (6) ◽

pp. 577-584 ◽

Cited By ~ 2

Author(s):

N.J. Rabadi ◽

M.A. Alsaad ◽

A. Alzu'bi

Keyword(s):

Demand Side Management ◽

Industrial Sector ◽

Demand Side

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A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

ELEKTRIKA- Journal of Electrical Engineering ◽

10.11113/elektrika.v20n1.248 ◽

2021 ◽

Vol 20 (1) ◽

pp. 21-33

Author(s):

Hossam Eldin Hamed Shalaby

Keyword(s):

Dynamic Pricing ◽

Energy Savings ◽

Peak Load ◽

Cost Effective ◽

Demand Side Management ◽

Special Focus ◽

Demand Side ◽

Renewable Energy Resources ◽

Load Demand ◽

Battery Energy

Electrical peak load demand all over the world is always anticipated to grow, which is challenging electrical utility to supply such increasing load demand in a cost effective, reliable and sustainable manner. Thus, there is a need to study some of load management (LM) techniques employed to minimize energy consumption, reduce consumers' electricity bills and decrease the greenhouse gas emissions responsible for global warming. This paper presents a review of several recent LM strategies and optimization algorithms in different domains. The review is complemented by tabulating several demand side management (DSM) techniques with a specific view on the used demand response (DR) programs, key finding and benefits gained. A special focus is directed to the communication protocols and wireless technology, incorporation of renewable energy resources (RERs), battery energy storage (BES), home appliances scheduling and power quality applications. The outcome of this review reveals that the real time pricing (RTP) is the most efficient price-based mechanism program (PBP), whilst time of use (TOU) is the basic PBP and easiest to implement. Energy efficiency programs have proved the highest influential impact on the annual energy saving over the other dynamic pricing mechanism programs. Through a forecasted proposal of future study, DSM proved tremendous potential annual energy savings, peak demand savings, and investment cost rates within different consumption sectors progressively up to year 2030.

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A Framework for Demand-Side Management With Demand Response Input

ASME 2020 Power Conference ◽

10.1115/power2020-16635 ◽

2020 ◽

Author(s):

Miguel A. Peinado-Guerrero ◽

Nicolas A. Campbell ◽

Jesus R. Villalobos ◽

Patrick E. Phelan

Keyword(s):

Demand Response ◽

Production Scheduling ◽

Energy Use ◽

Peak Load ◽

Load Reduction ◽

Demand Side ◽

End User ◽

Physical Constraints ◽

Side Load ◽

To Receive

Abstract A framework is proposed for demand-side load management (DSLM) of manufacturers participating in demand response (DR) programs. Utilities are increasingly focused on enticing their portfolios of energy end-users to adjust their energy use patterns in a mutually beneficial manner such as with DR programs. DR programs allow the utility to receive bulk peak load reduction and the participating end-user to receive credit towards their electricity bills. Once an end-user is enrolled in a DR program, they receive periodic requests for some amount of load reduction, typically the day before. Failing to respond to a DR signal will usually cost the end-user handsomely. The end-user is often left to their own discretion on how to attain the level of load reduction requested by the utility. For a manufacturer, this means if the request in load reduction is high enough, they will need to figure out how to curtail production. On the other hand, if the load reduction requested is small enough to need no disruption to production, the utility may be missing out on untapped DR capabilities that could be offered from the ability of the manufacturer to reschedule their production. In either case, the availability of an optimal plan for the manufacturer to best schedule its production in response to a DR event can maximize the benefits for both parties. Most of the research found in literature addresses production scheduling with minimal energy use or cost with respect to a time-of-use price tariff. A system that communicates the desires of the utility to the end-user for a DR event and provides the end-user with support in the decision-making process remains to be developed. The framework proposed addresses these shortcomings, considering the introduction of IoT capabilities and the physical constraints of the manufacturer.

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