Optimal Scheduling of Residential Energy System Including Combined Heat and Power System and Storage Device

2013 ◽  
Vol 41 (8) ◽  
pp. 765-781 ◽  
Author(s):  
H. Karami ◽  
M. J. Sanjari ◽  
A. Tavakoli ◽  
G. B. Gharehpetian
Keyword(s):  
Power System ◽  
Energy System ◽  
Combined Heat And Power ◽  
Optimal Scheduling ◽  
Storage Device ◽  
Residential Energy ◽  
And Storage

scholarly journals Optimization of the energy system of the Taimyr coal basin through energy storage

2021 ◽  
Vol 266 ◽  
pp. 04012
Author(s):  
A. Deev ◽  
V. Lebedev
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Power System ◽  
Electric Energy ◽  
Lithium Ion ◽  
Electrical Energy ◽  
Energy System ◽  
Combined Heat And Power ◽  
Hot Water ◽  
Coal Basin

This article examines the influence of energy storage on the possibility of increasing the efficiency of a power plant on the example of the model of the power system of the Taimyr coal basin. The main elements of the power system calculated in this paper included: household consumers (township of Dixon), industrial consumers (coal mining enterprises), sources of thermal and electric energy (coal-fired combined heat and power plant). Storage equipment was selected for the storage of thermal and electrical energy in the power system, such as energy storage systems based on lithium-ion batteries and hot water storage tanks. The changes in the operation modes of the combined heat and power plant during the introduction of battery systems in the power system were evaluated, and the efficiency of the combined heat and power plant was calculated for various modes of energy storage.

Model-Based Analysis of a Combined Heat and Power System Featuring a Hydrogen-Fired Gas Turbine With On-Site Hydrogen Production and Storage

2020 ◽  
Author(s):  
Thomas Bexten ◽  
Manfred Wirsum ◽  
Björn Roscher ◽  
Ralf Schelenz ◽  
Georg Jacobs
Keyword(s):  
Hydrogen Production ◽  
Power System ◽  
Hydrogen Storage ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Combined Heat And Power ◽  
Local Power ◽  
Renewable Power ◽  
And Storage ◽  
Model Based Analysis

Abstract Hydrogen-fired gas turbines have the potential to play an important role in decarbonized energy sectors. However, a demand-oriented supply of CO2-neutral hydrogen for the operation of gas turbines is technically and economically challenging. These challenges mainly arise due to various interdependencies between the volatility of renewable power generation, available hydrogen production capacities, available hydrogen storage capacities and the operational demands to be met by gas turbines. The present study aims to quantify these interdependencies by conducting a detailed model-based analysis of an exemplary combined heat and power system featuring a hydrogen-fired industrial gas turbine with on-site hydrogen production via electrolysis and on-site hydrogen storage in pressure vessels. In order to identify the sought-after interdependencies, simulation runs featuring various combinations of available hydrogen production and storage capacities are analyzed. If only local power surpluses are utilized for the electrolysis, the obtained results reveal a strong non-linear impact of both the hydrogen production capacity and the storage capacity on the ability to provide hydrogen for the gas turbine. Furthermore, the results indicate that an exclusive utilization of local power surpluses leads to very limited periods of hydrogen-based gas turbine operation and low utilization rates of the available hydrogen production and storage capacities. If additional power for the operation of electrolyzers is supplied by the grid, increased utilization rates and prolonged periods of hydrogen-based gas turbine operation can be achieved. However, in order to realize an overall reduction of CO2 emissions, this mode of operation requires the supply of large quantities of renewable power by the grid. Furthermore, the results of an additional economic analysis reveal that both investigated operational modes are currently not economically viable within the considered economic framework.

scholarly journals Multi-Time Scale Optimization Scheduling Strategy for Combined Heat and Power System Based on Scenario Method

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1599
Author(s):  
Yunhai Zhou ◽  
Shengkai Guo ◽  
Fei Xu ◽  
Dai Cui ◽  
Weichun Ge ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Time Scale ◽  
Heat Storage ◽  
Combined Heat And Power ◽  
Storage Device ◽  
Power Fluctuation ◽  
Scheduling Strategy ◽  
Scenario Method ◽  
Optimization Scheduling

The wind–heat conflict and wind power uncertainty are the main factors leading to the phenomenon of wind curtailment during the heating period in the northern region of China. In this paper, a multi-time scale optimal scheduling strategy for combined heat and power system is proposed. Considering the temporal dependence of wind power fluctuation, the intra-day wind power scenario generation method is put forward, and both day-ahead and intra-day optimization scheduling models based on the scenario method are established to maximize the system’s revenue. The case analyzes the impacts of the initial heat storage capacity of a heat storage device and different scheduling strategies on system revenue. It is verified that the scheduling strategy can better adapt to wind power uncertainty and improve the absorption capacity of wind power, while ensuring the safety and economical efficiency of system operation.

scholarly journals Determination of optimal operating modes of the Ukrainian power system when covering the daily schedule of electrical loads, ensuring the necessary volumes of redundancy and using storage capacities

2020 ◽  
Vol 2020 (4) ◽  
pp. 33-44
Author(s):  
V.A. Denisov ◽  
Keyword(s):  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Energy System ◽  
Modeling Language ◽  
Integer Variables ◽  
Daily Schedule ◽  
Power Storage ◽  
Electrical Loads ◽  
And Storage

We propose a model of mathematical programming with integer variables, the use of which provides a search for the optimal modes of redundancy and loading of storage capacities of the power plants in Ukraine with covering the daily schedule of electrical loads. The main purpose of this work is to create a tool for studying the possibilities of optimized dispatching of generating capacities of thermal power plants, as well as generating and reserve capacities of high-power storage units within the IPS of Ukraine, the limits of permissible values of the parameters of generating and storing capacities, at which stable balanced operation of the energy system is possible. The model enables one to determine the optimal modes of using generating and storing capacities for covering the schedule of electrical loads without using storage and with using storage at different values of the total installed and peak power of SES and wind farms. The model takes into account the specific features of the operation of reserve and storage capacities of the Ukrainian energy system – the maximal possibilities for change in the power of storage and generation of electricity units of the Ukrainian energy system and possibility to provide support for frequency recovery reserves (secondary regulation) at a given level, located at thermal power plants, PSPPS, and high-power storage facilities. The model enables us to study the possibilities of optimized dispatching of the components of the IPS of Ukraine, the limits of permissible values of parameters of generating and storing capacities, at which stable balanced operation of the energy system is possible and can be applied in the tasks of forming forecast balances covering daily schedules of electric loads to study the prospects for short- and long-term development of storage and generating capacities of the national energy system, which is relevant under conditions of rapid growth of the capacity of wind and solar power plants. The model is implemented in the mathprog algebraic modeling language, which is a component of the Solver Studio optimization package and uses the COIN-OR PuLP modeling language. Keywords: power system, daily load schedule of the power system, reserve and storage capacities, model of mathematical programming with integer variables, optimal solution

scholarly journals Determination of optimal operating modes of the Ukrainian power system when covering the daily schedule of electrical loads, ensuring the necessary volumes of redundancy and using storage capacities

2020 ◽  
Vol 2020 (4) ◽  
pp. 33-44
Author(s):  
V.A. Denisov ◽  
Keyword(s):  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Energy System ◽  
Modeling Language ◽  
Integer Variables ◽  
Daily Schedule ◽  
Power Storage ◽  
Electrical Loads ◽  
And Storage

We propose a model of mathematical programming with integer variables, the use of which provides a search for the optimal modes of redundancy and loading of storage capacities of the power plants in Ukraine with covering the daily schedule of electrical loads. The main purpose of this work is to create a tool for studying the possibilities of optimized dispatching of generating capacities of thermal power plants, as well as generating and reserve capacities of high-power storage units within the IPS of Ukraine, the limits of permissible values of the parameters of generating and storing capacities, at which stable balanced operation of the energy system is possible. The model enables one to determine the optimal modes of using generating and storing capacities for covering the schedule of electrical loads without using storage and with using storage at different values of the total installed and peak power of SES and wind farms. The model takes into account the specific features of the operation of reserve and storage capacities of the Ukrainian energy system – the maximal possibilities for change in the power of storage and generation of electricity units of the Ukrainian energy system and possibility to provide support for frequency recovery reserves (secondary regulation) at a given level, located at thermal power plants, PSPPS, and high-power storage facilities. The model enables us to study the possibilities of optimized dispatching of the components of the IPS of Ukraine, the limits of permissible values of parameters of generating and storing capacities, at which stable balanced operation of the energy system is possible and can be applied in the tasks of forming forecast balances covering daily schedules of electric loads to study the prospects for short- and long-term development of storage and generating capacities of the national energy system, which is relevant under conditions of rapid growth of the capacity of wind and solar power plants. The model is implemented in the mathprog algebraic modeling language, which is a component of the Solver Studio optimization package and uses the COIN-OR PuLP modeling language. Keywords: power system, daily load schedule of the power system, reserve and storage capacities, model of mathematical programming with integer variables, optimal solution

scholarly journals Optimal Scheduling of Hybrid Pumped Hydro Storage System using Linear Programming

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1575-1580
Keyword(s):  
Linear Programming ◽  
Wind Energy ◽  
Storage System ◽  
Operating Cost ◽  
Energy System ◽  
Optimal Scheduling ◽  
Solar Pv ◽  
Reservoir Volume ◽  
Wind Energy System ◽  
And Storage

This paper presents optimal scheduling of a gridconnected microgrid with grid, solar PV system, and wind energy system acting as sources and a local water reservoir actingas a storage system. Using mathematical models of solar PV, wind energy system, load profile, and pumped storage system, the optimization problem is formulated to minimize thedaily operating cost taking into account all the constraints. Using a modified linear programming algorithm based on varying price weight, an optimum schedule is obtained and the minimum operating cost is determined.Comparison of operating cost is carried out based on all possible combinations of available sources and storage system. Cases of maximum initial reservoir volume and minimum initial reservoir volume were considered for each combination of sources and storage system. Finally, by analyzing the simulation results and cost calculations, share of different renewable energy sources, grid, and storage system in meeting the load isobtained

scholarly journals An optimal scheduling method for integrated power and heat system with multiple thermal flexibilities

2021 ◽  
Vol 252 ◽  
pp. 01016
Author(s):  
Da Lin ◽  
Chouwei Ni ◽  
Xuesong Zhang ◽  
Junhao Huang
Keyword(s):  
Power System ◽  
District Heating ◽  
Heating System ◽  
Energy System ◽  
Optimal Scheduling ◽  
District Heating System ◽  
Improve Energy Efficiency ◽  
Heat System ◽  
Scheduling Method ◽  
Operation Cost

Integrated power and heat system (IPHS) is a typical multi-energy system which involves power system and district heating system (DHS). The utilization of thermal flexibilities in the joint operation of power system and district heating system has shown the potential to improve energy efficiency and economic performance. In this paper, an optimal scheduling method for IPHS with multiple thermal flexibilities is proposed. Thermal flexibilities of electric boilers and district heating network (DHN) are modelled and analysed, in which the flexibility of DHN is described by a detailed node-based quasi-dynamic model. The proposed scheduling method is to minimize the operation cost of IPHS. Case study is carried out on a typical IPHS with a 6-node power system and a 12-node DHS. Simulation results show that the scheduling method can reduce the operation cost of IPHS and improve wind accommodation.

scholarly journals Distributed Economic Optimal Scheduling Scheme for Ship-Integrated Energy System Based on Load Prediction Algorithm

2021 ◽  
Vol 9 ◽  
Author(s):  
Yuxin Zhang ◽  
Qihe Shan ◽  
Fei Teng ◽  
Tieshan Li
Keyword(s):  
Power System ◽  
Environmental Protection ◽  
Energy Management ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Short Term ◽  
Scheduling Scheme ◽  
Load Demand ◽  
Integrated Energy System

In order to enhance navigation safety and promote environmental protection, this paper takes the problem of energy management in a ship-integrated energy system into consideration. According to the characteristics of navigation, an intelligent ship energy management model, simultaneously considering the social and economic benefits, has been proposed. Meanwhile, this paper analyzes a distributed optimal scheduling problem which considers renewable generation devices and an energy storage system. Combined with an electricity-power system and thermal-power system, we propose an optimal scheduling scheme to accurately meet the actual load demand based on the pre-results analyzed by the ensemble learning short-term load forecasting algorithm. In addition, the related stability analysis is given. Further, a series of simulation results have been presented, which denote that the proposed load forecasting algorithm can accurately analyze the short-term load demand trend, and the proposed optimization algorithm can effectively coordinate economic and environmental protection.

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