scholarly journals A Model for Multi-Energy Demand Response with Its Application in Optimal TOU Price

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 994 ◽  
Author(s):  
Nan Zhao ◽  
Beibei Wang ◽  
Mingshen Wang
Keyword(s):  
Demand Response ◽  
Energy Demand ◽  
Alternative Energy ◽  
Energy System ◽  
Response Characteristic ◽  
Test System ◽  
Interior Point Algorithm ◽  
Response Model ◽  
Transfer Energy ◽  
Typical Application

With the generalization of the integrated energy system (IES) on the demand side, multi-energy users may participate in a demand response (DR) program based on their flexible consumption of energy. However, since users could choose using alternative energy or transfer energy consumption to other time periods, obtaining response characteristics of this type of DR usually appears more complicated than traditional single-energy DR. To obtain the response characteristic, a response model for multi-energy DR, which reflects the relations between electricity (gas) response and time-of-use (TOU) electric prices, is proposed. The model is characterized by several coefficients which are associated with electric and heat efficiency. The model is obtained through the derivation process of optimizing user’s energy-using problem. Then, as a typical application of the response model, the TOU electric pricing for multi-energy users is able to be formulated by an interior point algorithm after giving the Kuhn-Tucker conditions of the optimal problem. Typical results of the optimal TOU pricing are further illustrated through the formulation on a PJM five-bus test system. It demonstrates that optimal TOU pricing can be effectively pre-calculated by the utility company using the proposed response model.

scholarly journals Study on the economic dispatch of regional integrated energy system based on master-slave game

2021 ◽  
Vol 267 ◽  
pp. 01001
Author(s):  
Yongli Wang ◽  
Yang Ma ◽  
Yuze Ma ◽  
Suhang Yao ◽  
Siyi Tao ◽  
...  
Keyword(s):  
Demand Response ◽  
Optimization Model ◽  
Alternative Energy ◽  
Energy Use ◽  
Energy Operator ◽  
Energy System ◽  
Integrated Energy System ◽  
Set Up ◽  
Use Behavior ◽  
Motivation To Participate

Traditional demand response technologies optimize the load profile by cutting or shifting the electrical load, but they affect the customer’s energy experience, and thus the customer’s motivation to participate in demand response and load controllability are limited. For community integrated energy operators, the study of integrated customer demand response can explore their dispatch potential. Based on consumer psychology, we study the alternative energy use behavior of residential customers, establish a customer optimization model and a community integrated energy operator optimization model, and set up a Stackelberg master-slave game model with the operator as the leader and the customer as the follower. The simulation case verifies that the utilization of load-side multi-energy complementary characteristics and integrated demand response behavior can effectively improve the utilization of renewable energy and the efficiency of integrated energy operators.

scholarly journals Medium- and Long-Term Integrated Demand Response of Integrated Energy System Based on System Dynamics

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 710 ◽  
Author(s):  
Shuhui Ren ◽  
Xun Dou ◽  
Zhen Wang ◽  
Jun Wang ◽  
Xiangyan Wang
Keyword(s):  
Energy Storage ◽  
System Dynamics ◽  
Electric Vehicles ◽  
Demand Response ◽  
Energy System ◽  
Energy Utilization ◽  
Response Model ◽  
Integrated Energy System ◽  
Flexible Load

For the integrated energy system of coupling electrical, cool and heat energy and gas and other forms of energy, the medium- and long-term integrated demand response of flexible load, energy storage and electric vehicles and other demand side resources is studied. It is helpful to mine the potentials of demand response of various energy sources in the medium- and long-term, stimulate the flexibility of integrated energy system, and improve the efficiency of energy utilization. Firstly, based on system dynamics, the response mode of demand response resources is analyzed from different time dimensions, and the long-term, medium-term and short-term behaviors of users participating in integrated demand response are considered comprehensively. An integrated demand response model based on medium-and long-term time dimension is established. Then the integrated demand response model of integrated energy system scheduling and flexible load, energy storage and electric vehicles as the main participants is established to simulate the response income of users participating in the integrated demand response project, and to provide data sources for the medium- and long-term integrated demand response system dynamics model. Finally, an example is given to analyze the differences in response behaviors of flexible load, energy storage and electric vehicle users in different time dimensions under the conditions of policy subsidy, regional location and user energy preferences in different stages of the integrated energy system.

scholarly journals Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

2020 ◽  
Vol 12 (7) ◽  
pp. 2745 ◽  
Author(s):  
Osman Taylan ◽  
Rami Alamoudi ◽  
Mohammad Kabli ◽  
Alawi AlJifri ◽  
Fares Ramzi ◽  
...  
Keyword(s):  
Energy Demand ◽  
Alternative Energy ◽  
Local Economic Development ◽  
Fuzzy Ahp ◽  
Energy Systems ◽  
Energy System ◽  
High Energy ◽  
Government Support ◽  
Fuzzy Vikor ◽  
Fuzzy Dea

Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria—power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively.

Economic analysis of a small combined cycle gas turbine power plant in the Italian electricity market

2020 ◽  
pp. 095765092097605
Author(s):  
Dominique Adolfo ◽  
Carlo Carcasci
Keyword(s):  
Gas Turbine ◽  
Electricity Market ◽  
Energy Demand ◽  
Alternative Energy ◽  
Power Plants ◽  
Operation Mode ◽  
Market Price ◽  
Optimal Solution ◽  
Energy System ◽  
Combined Cycle

Despite the availability of new alternative energy sources, growing worldwide energy demand and emissions targets lead power plants to work optimizing performances. In this new scenario in which renewable energies are increasingly taking the field, it is also important to produce energy at a low price. Moreover, the variability of the energy market price complicates the analysis. Comparison between the produced energy cost and the market price is necessary to get a return on investment. In this context, the paper investigates the implications of using a gas turbine in an energy system estimating the plant layout and the number of working hours that guarantees a better profit. The analysis focuses on the study of the start-up and shutdown operation mode to find the optimal solution strategy in the Italian electricity market.

scholarly journals Extended multi-energy demand response scheme for industrial integrated energy system

2018 ◽  
Vol 12 (13) ◽  
pp. 3186-3192 ◽  
Author(s):  
Ziqing Jiang ◽  
Ran Hao ◽  
Qian Ai ◽  
Zhiwen Yu ◽  
Fei Xiao
Keyword(s):  
Demand Response ◽  
Energy Demand ◽  
Energy System ◽  
Integrated Energy System ◽  
Response Scheme

scholarly journals Electrochemical Evaluation of Fluorinated MnO2 for Supercapacitor Application

2018 ◽  
Vol 150 ◽  
pp. 02006
Author(s):  
Siti Nur Najwa Mohd Yusof ◽  
Nurul Khairiyyah Mohd Zain ◽  
Izan Izwan Misnon ◽  
Rajan Jose
Keyword(s):  
Energy Storage ◽  
Energy Demand ◽  
Alternative Energy ◽  
Fourier Transforms ◽  
Electrochemical Impedance ◽  
Energy System ◽  
Charge Transfer Resistance ◽  
Transfer Resistance ◽  
Developed Country ◽  
Supercapacitor Application

Supercapacitors (SCs) functioning as alternative energy storage is useful in most electronic devices, renewable energy system and hybrid vehicles that have high demand in these days. Excellent electrochemical performance, environment friendliness and low cost material are needed to fulfil the energy demand by most developed country. In this study, fluorination treatment on manganese oxide (MnO2) is considered as an effective way to develop better energy storage due to fluorine electronegativity and reactivity when correlate with other element. Hydrothermal method is used to synthesis MnO2 (α–MnO2 and δ–MnO2) and the effect of fluorination (Fα–MnO2 and Fδ–MnO2) on MnO2 surfaces is investigated on the charge storage ability. The crystallinity and functional groups of the samples was confirmed by the X-ray diffractogram and fourier transforms infrared spectroscopy (FTIR). The cyclic voltammetry (CV) and galvanostatic charging–discharging (CDC) analysis in 0.5 M K2SO4 electrolyte shows that F-δ-MnO2 gives the highest Cs value of 184 F g-1 at scan rate of 5 mV s-1 and 66 F g-1 at current density of 0.3 A g-1. The electrochemical impedance spectroscopy shows that the Fδ–MnO2 has the lowest electrode resistances and charge transfer resistance which contributes to high Cs and the high conductivity of electrode.

scholarly journals Optimising Energy Flexibility of Boats in PV-BESS Based Marina Energy Systems

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3397
Author(s):  
Dawid Jozwiak ◽  
Jayakrishnan Radhakrishna Pillai ◽  
Pavani Ponnaganti ◽  
Birgitte Bak-Jensen ◽  
Jan Jantzen
Keyword(s):  
Demand Response ◽  
Alternative Energy ◽  
Storage System ◽  
Essential Element ◽  
Energy Systems ◽  
Late Summer ◽  
Energy System ◽  
Mixed Integer ◽  
Load Factor ◽  
Grid Operation

Implementation of alternative energy supply solutions requires the broad involvement of local communities. Hence, smart energy solutions are primarily investigated on a local scale, resulting in integrated community energy systems (ICESs). Within this framework, the distributed generation can be optimally utilised, matching it with the local load via storage and demand response techniques. In this study, the boat demand flexibility in the Ballen marina on Samsø—a medium-sized Danish island—is analysed for improving the local grid operation. For this purpose, suitable electricity tariffs for the marina and sailors are developed based on the conducted demand analysis. The optimal scheduling of boats and battery energy storage system (BESS) is proposed, utilising mixed-integer linear programming. The marina’s grid-flexible operation is studied for three representative weeks—peak tourist season, late summer, and late autumn period—with the combinations of high/low load and photovoltaic (PV) generation. Several benefits of boat demand response have been identified, including cost savings for both the marina and sailors, along with a substantial increase in load factor. Furthermore, the proposed algorithm increases battery utilisation during summer, improving the marina’s cost efficiency. The cooperation of boat flexibility and BESS leads to improved grid operation of the marina, with profits for both involved parties. In the future, the marina’s demand flexibility could become an essential element of the local energy system, considering the possible increase in renewable generation capacity—in the form of PV units, wind turbines or wave energy.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

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