scholarly journals Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guoping Zhang ◽  
Weijun Wang ◽  
Jie Du ◽  
Haoyun Sheng
Keyword(s):  
Storage System ◽  
Economic Cost ◽  
Optimal Operation ◽  
Interval Optimization ◽  
Renewable Generation ◽  
Diesel Generator ◽  
Nsga Ii ◽  
Operation Optimization ◽  
Optimal Dispatch ◽  
The Impact

In order to analyse the impact of renewable generation and load uncertainties on the economic operation optimization of the island microgrid, a multiobjective economic optimal dispatch model under uncertainty based on interval optimization is proposed in this paper. The mathematical model of distributed generation and the prediction model of wind speed and wave generation are established. The uncertainties of renewable generation and load are described by the interval mathematical method. On this basis, the interval multiobjective optimal dispatch model is presented. For the “battery disgusting” users on the island, the battery cost is regarded as a separate optimization objective, and a multiobjective optimization objective function to minimize the economic cost, battery cost, and pollution emission of the island microgrid is discussed. An island microgrid, composed of wind turbine, photovoltaic, wave energy generation, diesel generator, and energy storage system, is chosen as a case study. The NSGA-II algorithm is applied to solve the multiobjective optimal problem. The results for deterministic forecast data and load are analysed, and the optimal operation scheme is obtained by the improved multiobjective grey target decision-making method. The influence of renewable generation fluctuations ±10%, ±20%, and ±30% and the load fluctuations ±10% and ±20% on island microgrid operation optimization is discussed in detail, respectively. The relevant research results can provide a reference for formulating the operating scheme of the island microgrid.

scholarly journals Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration

2018 ◽  
Vol 17 ◽  
pp. 01018
Author(s):  
Yuan Wang ◽  
Haojie Liu
Keyword(s):  
Wind Farm ◽  
Power Grid ◽  
Storage System ◽  
Thermal Power ◽  
Clean Energy ◽  
Optimal Scheduling ◽  
Battery Storage ◽  
Optimal Dispatch ◽  
New Energy ◽  
The Impact

In order to analyze the impact of new energy power generation on the power grid system, the reliability evaluation of the wind-solarbattery storage system is carried out. Proposed to wind power, solar, thermal power, different sodium-sulfur battery storage combined optimal dispatch of scenery. The shortest variance of the net load and the maximum variance of the wind storage system are taken as the objective function. The short-term optimal scheduling model of the power grid is established based on the characteristics of the wind farm, the characteristics of the solar field and the electric field of the sodium flow battery. Multi-objective particle swarm optimization The algorithm solves the model and obtains the output power of wind, light, storage and fire under different new energy strategies. The reliability is evaluated by Monte-Carlo method. Taking the IEEE-30 node as an example, it is proved that the proposed model is reasonable and the new energy can improve the clean energy consumption ability and minimize the impact on the power grid under the optimal scheduling strategy.

A Study of Optimal Capacity Configuration with Multi-Objective for Islanded Micro-Grid

2014 ◽  
Vol 521 ◽  
pp. 464-468 ◽  
Author(s):  
Xin Yi Lu ◽  
Yang Qi Huang ◽  
Nian Liu ◽  
Jian Hua Zhang ◽  
Lin Ze Huang
Keyword(s):  
Storage System ◽  
Energy Storage System ◽  
Diesel Generator ◽  
Turbine Generator ◽  
Nsga Ii ◽  
Generator System ◽  
Micro Gas Turbine ◽  
Optimal Capacity ◽  
Micro Grid ◽  
Pv Generation

This paper investigates a method to configure capacity of different kinds of generation in an islanded micro-grid, including PVGS (PV generation system), WTGS (wind turbine generator system), ESS (Energy Storage System) and MTGS (Micro gas turbine generator system), with a diesel generator set as reserve. Based on the structure, we build a mathematical model with restraints in operation and two objectives, of which one is the annual cost of the devices and the other is the percentage of utilization of PV and wind resources. A strategy of operation based on the SOC (State of Charge) of the ESS is put forward and power the ESS get charged and discharged and generated by the MTGS is determined according to this strategy. NSGA-II is applied to solve the model. Finally, a case is addressed. This paper would provide support to construction of islanded micro-grid.

scholarly journals Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Qingfeng Tang ◽  
Nian Liu ◽  
Jianhua Zhang
Keyword(s):  
Power Supply ◽  
Optimal Operation ◽  
Environmental Benefits ◽  
Seawater Desalination ◽  
Diesel Generator ◽  
Nsga Ii ◽  
Optimal Method ◽  
Diesel Generators ◽  
Storage Batteries ◽  
Supply Mode

The power supply mode of island microgrid with a variety of complementary energy resources is one of the most effective ways to solve the problem of future island power supply. Based on the characteristics of seawater desalination system and water demand of island residents, a power allocation strategy for seawater desalination load, storage batteries, and diesel generators is proposed with the overall consideration of the economic and environmental benefits of system operation. Furthermore, a multiobjective optimal operation model for the island microgrid with wind/photovoltaic/diesel/storage and seawater desalination load is also proposed. It first establishes the objective functions which include the life loss of storage batteries and the fuel cost of diesel generators. Finally, the model is solved by the nondominated sorting genetic algorithm (NSGA-II). The island microgrid in a certain district is taken as an example to verify the effectiveness of the proposed optimal method. The results provide the theoretical and technical basis for the optimal operation of island microgrid.

scholarly journals Day-Ahead Economic Optimal Dispatch of Microgrid Cluster Considering Shared Energy Storage System and P2P Transaction

2021 ◽  
Vol 9 ◽  
Author(s):  
Siming Cao ◽  
Hanlin Zhang ◽  
Kai Cao ◽  
Meng Chen ◽  
Yi Wu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Peak Time ◽  
Renewable Energy Consumption ◽  
Optimal Dispatch ◽  
The Impact

With the increasing popularity of renewable energy, energy storage systems (ESSs) have now been used as an essential way to reduce energy bills and mitigate the impact of the uncertainty of renewable generators on the energy network. However, the high investment cost of ESS limits its application. This article proposes the concept of shared ESS (Shared-ESS) for microgrid owner/operator and applies it to the economic optimal dispatch of a microgrid cluster. In addition to the energy storage, the microgrids can achieve the peer-to-peer (P2P) transaction among each other with the use of the Shared-ESS, which significantly improves the energy utilization efficiency. The numerical analysis shows that the Shared-ESS can significantly reduce the energy bills of microgrid owner/operator, shift the usage of energy during peak time, and facilitate the renewable energy consumption.

scholarly journals Exploring Economic Criteria for Energy Storage System Sizing

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2312 ◽  
Author(s):  
Jichun Liu ◽  
Zhengbo Chen ◽  
Yue Xiang
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Operation ◽  
Economic Feasibility ◽  
Operation Model ◽  
Economic Criterion ◽  
Hybrid Particle Swarm Optimization ◽  
The Impact ◽  
Economic Criteria

This paper presents two economic criteria for guiding the energy storage system (ESS) sizing in grid-connected microgrids. The internal power output model and the economic operation model of ESS are firstly established. Then, the combination of heuristic adjustment strategy and hybrid particle swarm optimization algorithm are introduced to solve the optimal operation model of ESS. Then according to the ESS life model and cost-benefit analysis, a static investment economic criterion which is easy and simple to be calculated is proposed to demonstrate the economic feasibility of ESS investment programs in the short term. Considering the time value of currency, a dynamic investment economic criterion is proposed later for long-term investment projects. Furthermore, the ESS sizing boundary of achieving profits could be also obtained according to the criteria which can indicate the economic attractiveness or resistance to ESS investors in the microgrid. A case study has verified its effectiveness. At the same time, sensitivity analysis is given to show the impact on key parameters, such as investment unit price and electricity purchase price on ESS investment.

scholarly journals A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Guoping Zhang ◽  
Weijun Wang ◽  
Jie Du ◽  
Hua Liu
Keyword(s):  
Optimization Model ◽  
Optimization Problem ◽  
Search Algorithm ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Optimal Operation ◽  
Renewable Energy Resources ◽  
Diesel Generator ◽  
Pareto Solution ◽  
Operation Optimization

Microgrid is an effective way to utilize renewable energy resources, especially for satisfying the electricity requirements in remote islands. The operation optimization of an island microgrid is critical to ensure the effective performance of the whole microgrid system, and it is usually a multiconstrained and multiobjective optimization problem. The main contribution of this study is an operation optimization method for the stand-alone microgrid system in a remote island, which includes wind, PV, battery, and diesel generator. In this paper, a novel operation optimization model for stand-alone microgrid is proposed, in which the battery system is considered separately; the multiobjective day-ahead optimization model considering economic cost, battery depreciation cost, and environmental protection cost is established. In the optimization, the output power of diesel generator and energy storage system are chosen as the decision variables. For this purpose, an efficient search algorithm combining the particle swarm optimization (PSO) algorithm and the simulated annealing (SA) algorithm is developed. The hybrid algorithm is applied to search for the Pareto solution set of the optimization problem. The search results are compared with those from traditional PSO algorithm. Also, a grey target decision-making theory based on the entropy weight method is proposed to identify the best trade-off scheduling scheme among all the solutions, and the results are compared with those from two other commonly used subjective and objective methods. The results show that the proposed optimization method can be applied to the day-ahead operation optimization of the microgrid system and help the user obtain the best compromise operation scheme for stand-alone microgrid.

scholarly journals An Advanced Multicarrier Residential Energy Hub System Based on Mixed Integer Linear Programming

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yue Yuan ◽  
Angel A. Bayod-Rújula ◽  
Huanxin Chen ◽  
Amaya Martínez-Gracia ◽  
Jiangyu Wang ◽  
...  
Keyword(s):  
Storage System ◽  
Residential Building ◽  
Economic Cost ◽  
Energy Storage System ◽  
Mixed Integer ◽  
Gas Network ◽  
Electrical Grid ◽  
Energy Hub ◽  
Photovoltaic Plant ◽  
The Impact

This work proposes a multicarrier energy hub system with the objective of minimizing the economy cost and the CO2 emissions of a residential building without sacrificing the household comfort and increasing the exploitation of renewable energy in daily life. The energy hub combines the electrical grid and natural gas network, a gas boiler, a heat pump, a photovoltaic plant, and a photovoltaic/thermal (PV/T) system. In addition, to increase the overall performance of the system, a battery-based energy storage system is integrated. To evaluate the optimal capacity of each energy hub component, an optimization scheduling process and the optimization problem have been solved with the YALMIP platform in the MATLAB environment. The result showed that this advanced system not only can decrease the economic cost and CO2 emissions but also reduce the impact to electrical grid.

scholarly journals Optimal dispatch of electricity storage supporting the direct supply of industrial consumers by wind generation

2021 ◽  
Vol 238 ◽  
pp. 10001
Author(s):  
Eva Schischke ◽  
Clemens Grimpe
Keyword(s):  
Wind Farm ◽  
Storage System ◽  
Electricity Consumption ◽  
Energy Storage System ◽  
Wind Generation ◽  
Renewable Generation ◽  
Electricity Storage ◽  
Optimal Dispatch ◽  
Electricity Cost ◽  
Industrial Companies

A rising number of industrial companies are aiming to increase the share of renewable generation in their electricity consumption, in order to decrease electricity costs or to fulfill portfolio requirements. This can be achieved by using pv or wind generation systems, which are directly connected to the industrial consumer. The volatility of the renewable generation can be balanced by employing an electricity storage system. The paper presents an MILP optimization model for the direct supply of an industrial consumer by a wind farm, coupled with a storage system. The model optimizes the dispatch of the storage system in order to minimize both the energy component as well as the capacity component of the consumers electricity cost. A case study is presented using the grid tariffs in Germany for two different legal scenarios and two load profiles. The operation of a modular compressed air energy storage system is analyzed and the optimal dimensions of the storage power and capacity are determined, for the proposed system.

Consideration of Geopolitical Challenges within the Analysis of Geoenvironmental Risks for Oil and Gas Development of the Russian Arctic

2019 ◽  
Vol 16 (6) ◽  
pp. 50-59
Author(s):  
O. P. Trubitsina ◽  
V. N. Bashkin
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Optimal Operation ◽  
The Arctic ◽  
Stage Model ◽  
Oil And Gas Development ◽  
Gas Industry ◽  
The Impact ◽  
Further Development ◽  
Geopolitical Risks

The article is devoted to the consideration of geopolitical challenges for the analysis of geoenvironmental risks (GERs) in the hydrocarbon development of the Arctic territory. Geopolitical risks (GPRs), like GERs, can be transformed into opposite external environment factors of oil and gas industry facilities in the form of additional opportunities or threats, which the authors identify in detail for each type of risk. This is necessary for further development of methodological base of expert methods for GER management in the context of the implementational proposed two-stage model of the GER analysis taking to account GPR for the improvement of effectiveness making decisions to ensure optimal operation of the facility oil and gas industry and minimize the impact on the environment in the geopolitical conditions of the Arctic.The authors declare no conflict of interest

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