4.8 Article

Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Energy & Fuels

A bargaining game-based profit allocation method for the wind-hydrogen-storage combined system

Xuejie Wang et al.

Summary: This study proposes a new profit allocation mechanism for the coexistence of multiple players in the wind-hydrogen-storage combined system. By using renewable energy to produce hydrogen, the combination of wind power plant, hydrogen energy system, and energy storage system aims to promote renewable energy consumption and improve overall system benefits. The study addresses the uncertainty of wind output and the balance of profits among multiple players through the development of a distributionally robust optimization model and a profit allocation model based on Nash-Harsanyi bargaining game theory.

APPLIED ENERGY (2022)

Article Energy & Fuels

Multi-objective optimization of energy-water nexus from spatial resource reallocation perspective in China

Kai Zhang et al.

Summary: With the vast territory and regional heterogeneity in China, this study constructed an optimization framework to minimize national energy and water stress, considering the heterogeneity of energy and water resources among provinces. The findings showed that spatial resources reallocation has a significant role in mitigating energy and water stress in high-stress regions.

APPLIED ENERGY (2022)

Article Energy & Fuels

Dynamic bidding strategy for a demand response aggregator in the frequency regulation market

Xin Liu et al.

Summary: This study proposed a dynamic bidding strategy for demand-side resources to participate in the frequency regulation market through demand response aggregators. It constructed an uncertainty model for market price and frequency regulation demand, and used tools to measure market risks. The dynamic optimization method resulted in increased operating profits and user revenue.

APPLIED ENERGY (2022)

Article Energy & Fuels

Development and implementation of multi-agent systems for demand response aggregators in an industrial context

Stefan Woltmann et al.

Summary: The paper discusses the importance of using Multi-Agent Systems (MAS) in the power grid field and the challenges in practical application. It presents a MAS to help DR aggregators improve system management and designs technical implementations on standard industrial equipment based on the requirements of the German DR market.

APPLIED ENERGY (2022)

Article Energy & Fuels

Evaluate the capacity of electricity-driven water facilities in small communities as virtual energy storage

Mostafa Goodarzi et al.

Summary: This paper investigates the capacity of Water-Energy Nexus (WEN) systems in small communities as virtual energy storage (VES) and virtual power plant (VPP). It proposes an optimization approach to reduce the required size of battery energy storage systems (BESS) and models the WEN as a VPP to provide spinning reserve energy. The numerical results demonstrate the economic benefits of operating WEN systems in small communities as VES or VPP for renewable energy management of power grids.

APPLIED ENERGY (2022)

Article Energy & Fuels

A new deregulated demand response scheme for load over-shifting city in regulated power market

Fangyuan Xu et al.

Summary: This paper proposes a new deregulated demand response scheme (DDR) to solve the load over-shifting problem in cities with a large proportion of industrial consumers. The scheme selects industrial consumers with large shiftable load in the city as load adjustment component and provides independent tariff to each consumer. The proposed algorithm can produce optimal solutions similar to Genetic Algorithm with higher computational efficiency.

APPLIED ENERGY (2022)

Article Energy & Fuels

Novel data-driven energy management of a hybrid photovoltaic-reverse osmosis desalination system using deep reinforcement learning

Mohammad Amin Soleimanzade et al.

Summary: This study introduces a novel deep reinforcement learning-accelerated energy management system for a hybrid grid-connected photovoltaic-reverse osmosis-pressure retarded osmosis desalination plant, utilizing 1-D CNNs to address the partial observability dilemma and enhance water production and power efficiency.

APPLIED ENERGY (2022)

Article Energy & Fuels

Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy

Hai-Tra Nguyen et al.

Summary: Global transactive energy has become more complex due to its efficiency extension. Multi-residential demand responses present a new challenge for energy planning and management. By implementing optimal scheduling and strategic energy decentralization, a reliable distribution network can optimize energy efficiency.

APPLIED ENERGY (2022)

Review Energy & Fuels

A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network

Arshad Nawaz et al.

Summary: This paper provides a comprehensive review of the multi-microgrids concept and its features, analyzes the challenges to stable operation of power systems posed by various factors, discusses energy management and demand-side management techniques, highlights the importance of cybersecurity, and makes recommendations for future research.

APPLIED ENERGY (2022)

Article Energy & Fuels

Optimal energy management of water-energy networks via optimal placement of pumps-as-turbines and demand response through water storage tanks

Faegheh Moazeni et al.

Summary: Improving energy efficiency in water infrastructure is crucial, achieved through optimizing system operations and installing pumps-as-turbines in areas with excess pressure head. This led to over 30% reduction in daily electricity consumption and $79 in daily operating cost.

APPLIED ENERGY (2021)

Article Energy & Fuels

Incentive determination of a demand response program for microgrids

Yuli Astriani et al.

Summary: The return on investment for a microgrid can be accelerated through maximizing profits, which can be achieved by implementing demand response. This study aims at determining demand response incentives for customers feasible for both participants and the operator, aiming to increase profits while minimizing customer discomfort. The results show that the proposed demand response program can increase profits for the microgrid, part of which is allocated to consumers as incentives for participation.

APPLIED ENERGY (2021)

Article Green & Sustainable Science & Technology

Risk-constrained self-scheduling of a hybrid power plant considering interval-based intraday demand response exchange market prices

Hooman Khaloie et al.

Summary: Hybrid power plants that integrate both dispatchable and non-dispatchable generation are gaining attention for their flexibility in operation. This paper presents a bidding framework for a hybrid power plant in day-ahead and intraday markets, incorporating interaction with demand response providers. Uncertainties in markets, renewable energy, and risk management are addressed through a hybrid stochastic-interval approach, resulting in a tri-objective optimization problem. Numerical results show the framework can achieve both risk-taker and risk-averse strategies simultaneously.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Automation & Control Systems

Short-Term Self-Scheduling of Virtual Energy Hub Plant Within Thermal Energy Market

Mohammad Jadidbonab et al.

Summary: Multicarrier energy systems present both challenges and opportunities in future energy systems, with one key challenge being the interaction among multiple energy systems and hubs in different markets. This article introduces a new approach to energy hub scheduling called the virtual energy hub (VEH), which optimizes revenue by participating in various local energy markets and offers strategies to address uncertainties and risks.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Review Chemistry, Physical

Hydrogen production for energy: An overview

Furat Dawood et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)

Article Green & Sustainable Science & Technology

Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads

Morteza Nazari-Heris et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Green & Sustainable Science & Technology

Hydrogen as an energy vector

Zainul Abdin et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Article Engineering, Electrical & Electronic

Risk-averse probabilistic framework for scheduling of virtual power considering demand response and uncertainties

Mostafa Vahedipour-Dahraie et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Review Engineering, Electrical & Electronic

A Review of Power System Flexibility With High Penetration of Renewables

Baraa Mohandes et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2019)

Article Green & Sustainable Science & Technology

Stochastic risk-based flexibility scheduling for large customers with onsite solar generation

Farhad Angizeh et al.

IET RENEWABLE POWER GENERATION (2019)

Article Automation & Control Systems

Micro Water-Energy Nexus: Optimal Demand-Side Management and Quasi-Convex Hull Relaxation

Qifeng Li et al.

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS (2019)

Article Engineering, Chemical

Recent progress in the use of renewable energy sources to power water desalination plants

Mohammad Ali Abdelkareem et al.

DESALINATION (2018)

Article Thermodynamics

Profit based unit commitment using hybrid optimization technique

Himanshu Anand et al.

ENERGY (2018)

Article Engineering, Electrical & Electronic

Multi-objective dynamic economic and emission dispatch with demand side management

B. Lokeshgupta et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Article Engineering, Electrical & Electronic

A Two-Stage Approach for Network Constrained Unit Commitment Problem With Demand Response

Vamsi Krishna Tumuluru et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Article Engineering, Electrical & Electronic

Interactive Robust Model for Energy Service Providers Integrating Demand Response Programs in Wholesale Markets

Esmaeil Mahboubi-Moghaddam et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Article Engineering, Multidisciplinary

Error Analysis of Customer Baseline Load (CBL) Calculation Methods for Residential Customers

Saeed Mohajeryami et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2017)

Article Energy & Fuels

Optimization of a wind powered desalination and pumped hydro storage system

R. Segurado et al.

APPLIED ENERGY (2016)

Article Engineering, Electrical & Electronic

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

Sleiman Mhanna et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Article Engineering, Electrical & Electronic

ISO's Optimal Strategies for Scheduling the Hourly Demand Response in Day-Ahead Markets

Masood Parvania et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2014)

Article Engineering, Electrical & Electronic

Hourly Demand Response in Day-Ahead Scheduling Considering Generating Unit Ramping Cost

Hongyu Wu et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2013)

Article Engineering, Electrical & Electronic

Optimal Demand Response Aggregation in Wholesale Electricity Markets

Masood Parvania et al.

IEEE TRANSACTIONS ON SMART GRID (2013)

Article Computer Science, Information Systems

Integrating Load Reduction into Wholesale Energy Market with Application to Wind Power Integration

Masood Parvania et al.

IEEE SYSTEMS JOURNAL (2012)

Article Engineering, Electrical & Electronic

Coordinating Vehicle-to-Grid Services With Energy Trading

Ali T. Al-Awami et al.

IEEE TRANSACTIONS ON SMART GRID (2012)

Article Economics

The water-energy nexus in Middle East and North Africa

Afreen Siddiqi et al.

ENERGY POLICY (2011)

Article Green & Sustainable Science & Technology

Coordinated Trading of Wind and Thermal Energy

Ali T. Al-Awami et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2011)

Article Engineering, Electrical & Electronic

Demand Response Scheduling by Stochastic SCUC

Masood Parvania et al.

IEEE TRANSACTIONS ON SMART GRID (2010)

Article Engineering, Electrical & Electronic

Stochastic economic emission load dispatch through a modified particle swarm optimization algorithm

Lingfeng Wang et al.

ELECTRIC POWER SYSTEMS RESEARCH (2008)

Article Engineering, Electrical & Electronic

Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm

Lingfeng Wang et al.

ELECTRIC POWER SYSTEMS RESEARCH (2007)

Article Engineering, Electrical & Electronic

Environmental/economic power dispatch using multiobjective evolutionary algorithms

MA Abido

IEEE TRANSACTIONS ON POWER SYSTEMS (2003)

Article Engineering, Electrical & Electronic

Demand-side view of electricity markets

DS Kirschen

IEEE TRANSACTIONS ON POWER SYSTEMS (2003)