scholarly journals Optimized Energy Storage System Configuration for Voltage Regulation of Distribution Network With PV Access

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiang Li ◽  
Feijie Zhou ◽  
Fuyin Guo ◽  
Fulin Fan ◽  
Zhengyong Huang
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Supply ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Voltage Regulation ◽  
Solution Set ◽  
Optimal Solutions ◽  
Voltage Profile ◽  
Pareto Solution

With the large-scale integration of renewable energy such as wind power and PV, it is necessary to maintain the voltage stability of power systems while increasing the use of intermittent renewable energy sources. The rapid development of energy storage technologies permits the deployment of energy storage systems (ESS) for voltage regulation support. This paper develops an ESS optimization method to estimate the optimal capacity and locations of distributed ESS supporting the voltage regulation of a distribution network. The electrical elements of the network integrated with PV and ESS are first modelled to simulate the voltage profile of the network. Then an improved multi-objective particle swarm optimization (PSO) algorithm is employed to minimise a weighted sum of the overall nodal voltage deviation from the nominal level across the network and across the time horizon and the energy capacity of ESS reflecting the associated investment. The improved PSO algorithm adaptively adjusts the inertia weight associated with each particle based on its distance from the best known particle of the population and introduces the cross-mutation operation for a small distance to avoid falling into local optimal solutions. Then the dynamic dense distance arrangement is taken to update the non-inferior solution set and indicate potential global optimal solutions so as to keep the scale and uniformity of the optimal Pareto solution set. To mitigate the impact of decision makers’ preference, the information entropy based technique for order of preference by similarity to ideal solution is used to select the optimal combination of the ESS access scheme and capacity from the Pareto solution set. The proposed ESS optimization method is tested based on the IEEE 24-bus system with additional imports from high-voltage power supply. The voltage profile of the network simulated without the ESS or with the random or optimized ESS placement is compared to illustrate the effectiveness of the optimized ESS in performing voltage regulation under normal operation and supporting emergency power supply during high-voltage transmission failures.

scholarly journals Impact of emission trading and renewable energy support scheme on the optimality of generator side bidding

2020 ◽  
Vol 167 ◽  
pp. 05008 ◽  
Author(s):  
A Arya ◽  
SPS Mathur ◽  
M Dubey
Keyword(s):  
Renewable Energy ◽  
Ghg Emissions ◽  
Profit Maximization ◽  
Emission Trading ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Developed Countries ◽  
Test System ◽  
For Profit ◽  
System Operator

As a major Green House Gases (GHG) producer, CO2 in particular, the electricity industry’s emissions have turned in to a matter of immense concern in many countries, especially in India. India’s economy and fast economic development has attracts the attention of the world. Emission trading schemes (ETS) and renewable energy support schemes (RESS) are implemented by the various developed countries to alleviate the affect of GHG emissions. In this paper, an optimization based market simulation approach is proposed with the consideration of emission trading schemes and renewable support schemes. To simulate the bidding strategy and for profit maximization, a particle swarm optimization (PSO) algorithm is used. As above problem is a multi-objective optimization problem, Where, in the first level each Genco submit the bid to the independent system operator and in the next level a optimization method is used for the determination of optimal bidding with the implementation of emission trading schemes and renewable support schemes. It is assumed that each generator should submit bid as a price taker’s in sealed auction based on pay-as-bid market clearing price mechanism. The practicability of proposed optimization method is checked by an IEEE-30 bus test system consists of six suppliers.

scholarly journals Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Tingli Cheng ◽  
Minyou Chen ◽  
Yingxiang Wang ◽  
Bo Li ◽  
Muhammad Arshad Shehzad Hassan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Multiobjective Optimization ◽  
Power System ◽  
Wind Power ◽  
Optimization Method ◽  
Optimal Dispatch ◽  
Comparison Results ◽  
Multiobjective Particle Swarm Optimization ◽  
Teaching Learning

In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization (PSO-TLBO), is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems.

scholarly journals CALCULATION OF OPTIMAL PARAMETERS FOR STORAGE AND RENEWABLE ENERGY SOURCES IN ISOLATED ENERGY SYSTEMS

2021 ◽  
pp. 91-95
Author(s):  
Mykhailo Syvenko ◽  
Oleksandr Miroshnyk
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Supply ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electric Energy ◽  
Energy Sources ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Supply Systems

A detailed substantiation of the use of electric energy storage devices in the presence of generators on renewable energy sources in the power supply system is given. The dependence of the storage parameters on the composition and priority of generation in the system is investigated. The solution of the problem of determining the parameters of electricity storage devices by means of purposeful simulation of generation parameters is considered. The results of the choice of power and capacity of the energy storage using technical and economic indicators are shown. Optimal parameters of electric energy storage devices as one of the most important means of ensuring the activity of isolated power supply systems together with selection of generating devices are determined. The results of calculations of capacity of renewable energy sources in isolated power supply systems in combination with classical energy sources are given. The necessity of using the principle of activity of the distribution electric network and the possibility of its realization is demonstrated. The optimal storage capacity as a function of the share of renewable generation, the non-integrated energy produced by renewable sources and the total storage capacity are plotted for several isolated systems. The main points of the used model of the power supply system of isolated networks are given. In the studied isolated power supply systems, wind power plants and solar power plants, which have significant unpredictability of generation, are used as generation based on renewable energy sources. The problem of undersupply of electricity to the grid by stepwise increase of generation is analysed. The results of the multi-step selection of power and energy consumption of electricity storage are determined by technical criteria.

scholarly journals Modeling Analysis and Improvement of Power Loss in Microgrid

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
H. Lan ◽  
S. Wen ◽  
Q. Fu ◽  
D. C. Yu ◽  
L. Zhang
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Systems ◽  
Distribution System ◽  
Power Loss ◽  
Storage System ◽  
Energy Storage System ◽  
Voltage Profile ◽  
Generation System ◽  
Distributed Generations

The consumption of conventional energy sources and environmental concerns have resulted in rapid growth in the amount of renewable energy introduced to power systems. With the help of distributed generations (DG), the improvement of power loss and voltage profile can be the salient benefits. However, studies show that improper placement and size of energy storage system (ESS) lead to undesired power loss and the risk of voltage stability, especially in the case of high renewable energy penetration. To solve the problem, this paper sets up a microgrid based on IEEE 34-bus distribution system which consists of wind power generation system, photovoltaic generation system, diesel generation system, and energy storage system associated with various types of load. Furthermore, the particle swarm optimization (PSO) algorithm is proposed in the paper to minimize the power loss and improve the system voltage profiles by optimally managing the different sorts of distributed generations under consideration of the worst condition of renewable energy production. The established IEEE 34-bus system is adopted to perform case studies. The detailed simulation results for each case clearly demonstrate the necessity of optimal management of the system operation and the effectiveness of the proposed method.

scholarly journals Design and Application of a Standalone Hybrid Wind–Solar System for Automatic Observation Systems Used in the Polar Region

2018 ◽  
Vol 8 (12) ◽  
pp. 2376 ◽  
Author(s):  
Guangyu Zuo ◽  
Yinke Dou ◽  
Xiaomin Chang ◽  
Yan Chen
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Solar System ◽  
Low Temperature ◽  
Power System ◽  
Power Supply ◽  
The Arctic ◽  
Polar Regions ◽  
Observation Systems ◽  
Continuous Power

Continuous power supply for unmanned and automatic observation systems without suitable energy-storage capabilities in the polar regions is an urgent problem and challenge. However, few power-supply systems can stably operate over the long term in extreme environments, despite excellent performance under normal environments. In this study, a standalone hybrid wind–solar system is proposed, based on operation analysis of the observing system in the Arctic Ocean, the polar environments, and renewable-energy distribution in the polar regions. Energy-storage technology suitable for cold regions is introduced to support the standalone hybrid wind–solar system. Mathematical models of the power system at low temperature are also proposed. The low-temperature performance and characteristics of lead–acid battery are comprehensively elucidated, and a dedicated charging strategy is developed. A hybrid wind–solar charging circuit is developed using a solar charging circuit, a wind turbine charging circuit, a driver circuit, a detection circuit, an analog-to-digital converter (ADC) circuit, and an auxiliary circuit. The low temperature stability of charging circuit is test from −50 °C to 30 °C. Temperature correction algorithm is designed to improve the efficiency of the power supply system. The power generation energy of the power system was simulated based on the monthly average renewable energy data of Zhongshan Station. A case study was applied to examine the technical feasibility of the power system in Antarctica. The five-month application results indicate that the power system based on renewable energy can maintain stable performance and provide sufficient power for the observing system in low ambient temperatures. Therefore, this power system is an ideal solution to achieve an environmentally friendly and reliable energy supply in the polar regions.

scholarly journals Impact of compressed air energy storage system into diesel power plant with wind power penetration

2019 ◽  
Vol 9 (3) ◽  
pp. 1553
Author(s):  
Abdulla Ahmed ◽  
Tong Jiang
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Plant ◽  
Power System ◽  
Wind Power ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Compressed Air ◽  
Energy Sources ◽  
Compressed Air Energy Storage

<p>The wind energy plays an important role in power system because of its renewable, clean and free energy. However, the penetration of wind power (WP) into the power grid system (PGS) requires an efficient energy storage systems (ESS). compressed air energy storage (CAES) system is one of the most ESS technologies which can alleviate the intermittent nature of the renewable energy sources (RES). Nyala city power plant in Sudan has been chosen as a case study because the power supply by the existing power plant is expensive due to high costs for fuel transport and the reliability of power supply is low due to uncertain fuel provision. This paper presents a formulation of security-constrained unit commitment (SCUC) of diesel power plant (DPP) with the integration of CAES and PW. The optimization problem is modeled and coded in MATLAB which solved with solver GORUBI 8.0. The results show that the proposed model is suitable for integration of renewable energy sources (RES) into PGS with ESS and helpful in power system operation management.</p>

Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

2000 ◽  
Author(s):  
Jin Wu ◽  
Shapour Azarm
Keyword(s):  
Multiobjective Optimization ◽  
Pareto Frontier ◽  
Optimization Methods ◽  
Optimization Method ◽  
Solution Set ◽  
Pareto Solution ◽  
Vibrating Platform ◽  
Pareto Solution Sets ◽  
Multiobjective Design

Abstract In this paper, several new set quality metrics are introduced that can be used to evaluate the ‘goodness’ of an observed Pareto solution set. These metrics, which are formulated in closed-form and geometrically illustrated, include coverage difference, Pareto spread, accuracy of an observed Pareto frontier, number of distinct choices and cluster. The metrics should enable a designer either monitor the quality of an observed Pareto solution set as obtained by a multiobjective optimization method, or compare the quality of observed Pareto solution sets as reported by different multiobjective optimization methods. A vibrating platform example is used to demonstrate the calculation of these metrics for an observed Pareto solution set.

scholarly journals Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 324 ◽  
Author(s):  
Philip Tafarte ◽  
Marcus Eichhorn ◽  
Daniela Thrän
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Supply ◽  
Electric Energy ◽  
Capacity Expansion ◽  
Advanced Technology ◽  
Series Data ◽  
Solar Pv ◽  
Electric Energy Storage

Wind and solar PV have become the lowest-cost renewable alternatives and are expected to dominate the power supply matrix in many countries worldwide. However, wind and solar are inherently variable renewable energy sources (vRES) and their characteristics pose new challenges for power systems and for the transition to a renewable energy-based power supply. Using new options for the integration of high shares of vRES is therefore crucial. In order to assess these options, we model the expansion pathways of wind power and solar photovoltaics (solar PV) capacities and their impact on the renewable share in a case study for Germany. Therefore, a numerical optimization approach is applied on temporally resolved generation and consumption time series data to identify the most efficient and fastest capacity expansion pathways. In addition to conventional layouts of wind and solar PV, our model includes advanced, system-friendly technology layouts in combination with electric energy storage from existing pumped hydro storage as promising integration options. The results provide policy makers with useful insights for technology-specific capacity expansion as we identified potentials to reduce costs and infrastructural requirements in the form of power grids and electric energy storage, and to accelerate the transition to a fully renewable power sector.

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