3.8 Article

Smart residential distribution energy management system with integration of demand response and Aggregator

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Demand-side management in microgrid using novel hybrid metaheuristic algorithm

Masood Rizvi et al.

Summary: This paper presents the development of demand-side management to minimize the cost of power operation and dispatch. It incorporates a hybrid strategy of grasshopper and flower pollination algorithm to coordinate the natural gas and electric networks. The demand response strategy based on time-of-use tariff is implemented to reduce the peak of the demand curve and smooth the load curve.

ELECTRICAL ENGINEERING (2023)

Article Energy & Fuels

A new optimized demand management system for smart grid-based residential buildings adopting renewable and storage energies

Ali M. Jasim et al.

Summary: Demand Side Management (DSM) in a Smart Grid (SG) helps customers reduce electricity bills, minimize utility's peak demand, and improve load factor. This paper proposes a load shifting-based DSM model using Virulence Optimization Algorithm (VOA) and Earth Worm Optimization Algorithm (EWOA). The model considers user preferences, timing factors, pricing signals, and incorporates Renewable Energy Resources (RERs) and Renewable Energy Storage (RES). Effective comparisons in MATLAB simulation show that VOA outperforms other algorithms, while EWOA combined with VOA provides smaller deviations and lower Peak-to-Average Ratio (PAR).

ENERGY REPORTS (2023)

Article Computer Science, Artificial Intelligence

Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty

Bo-Chen Lai et al.

Summary: This article proposes a community energy management system based on multiagent reinforcement learning, which optimizes the total community electricity cost for residential users and addresses the uncertainty of renewable energy generation, providing a more economical approach compared to traditional energy management methods.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2022)

Article Computer Science, Information Systems

Multi-Household Energy Management in a Smart Neighborhood in the Presence of Uncertainties and Electric Vehicles

Luca Serafini et al.

Summary: The study focuses on multi-household energy management for Smart Neighborhoods integrating RESs and electric vehicles participating in V2H and V2N programs. Results show that the MH-EM optimizes the Smart Neighborhood operation and maximizing RES energy usage provides the greatest benefits.

ELECTRONICS (2021)

Article Automation & Control Systems

Consumer satisfaction-oriented residential appliance scheduling algorithms

Yuchen Zhang et al.

Summary: This paper defines a consumer satisfaction index and uses AHP to describe consumer sensitivity to appliance usage times, ultimately developing a residential appliance scheduling algorithm focused on consumer satisfaction. A case study shows a 33.56% reduction in electricity bills and 5.26% decrease in Peak-to-Average Ratio compared to original energy usage schemes.

SYSTEMS SCIENCE & CONTROL ENGINEERING (2021)

Article Automation & Control Systems

Multiagent-Based Transactive Energy Management Systems for Residential Buildings With Distributed Energy Resources

Mohammad Sohrab Hasan Nizami et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Review Engineering, Electrical & Electronic

A comprehensive review on day-ahead electricity market and important features of world's major electric power exchanges

Devnath Shah et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2020)

Article Automation & Control Systems

Centralized Stochastic Energy Management Framework of an Aggregator in Active Distribution Network

Bala Sai Kiran Patnam et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Computer Science, Artificial Intelligence

Collaborative Energy Management for a Residential Community: A Non-Cooperative and Evolutionary Approach

Batchu Rajasekhar et al.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2019)

Article Automation & Control Systems

Multiobjective Optimization for Demand Side Management Program in Smart Grid

Dan Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Automation & Control Systems

Demand-Side Management by Regulating Charging and Discharging of the EV, ESS, and Utilizing Renewable Energy

Mosaddek Hossain Kamal Tushar et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Chemistry, Multidisciplinary

Robust Optimization for Household Load Scheduling with Uncertain Parameters

Jidong Wang et al.

APPLIED SCIENCES-BASEL (2018)

Article Construction & Building Technology

Multi-objective cost-load optimization for demand side management of a residential area in smart grids

Hamed G. Shakouri et al.

SUSTAINABLE CITIES AND SOCIETY (2017)

Article Computer Science, Information Systems

An Effective Model for Demand Response Management Systems of Residential Electricity Consumers

Vedanta Pradhan et al.

IEEE SYSTEMS JOURNAL (2016)

Article Automation & Control Systems

Robust Scheduling of Smart Appliances in Active Apartments With User Behavior Uncertainty

Kaveh Paridari et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2016)

Review Green & Sustainable Science & Technology

Planning and operation scheduling of PV-battery systems: A novel methodology

Rajab Khalilpour et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)

Article Engineering, Electrical & Electronic

Optimal Residential Load Management in Smart Grids: A Decentralized Framework

Amir Safdarian et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Article Engineering, Electrical & Electronic

Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances

Mosaddek Hossain Kamal Tushar et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Article Engineering, Electrical & Electronic

An Optimal Power Scheduling Method for Demand Response in Home Energy Management System

Zhuang Zhao et al.

IEEE TRANSACTIONS ON SMART GRID (2013)

Article Engineering, Electrical & Electronic

A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

Nikhil Gudi et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2012)

Article Economics

Elasticities of electricity demand in urban Indian households

M Filippini et al.

ENERGY POLICY (2004)