BESS System Research Articles

Techno-economic assessment of small-size residential solar PV + battery systems under different tariff structures in Brazil

This paper proposes a methodology to assess the energy and economic impact of adopting small-scale residential photovoltaic (PV) systems paired with lithium-ion battery energy storage (BESS) systems in single-family homes, under the current energy feed-in legislation. The suggested methodology was applied to a case study of a prosumer unit (PU) in Brazil. Data from energy bills, measured PV generation, BESS behaviour, and energy consumption were analysed to compare different viewpoints and estimate key economic indicators. As a result, the PV + BESS combination increases residential users' energy self-consumption and self-sufficiency, resulting in respective increases of 15 % and 2 %. Under the conventional tariff, adopting the PV + BESS system led to an average 29 % reduction in electricity costs compared to scenarios without PV + BESS. Furthermore, by transitioning to the white tariff mode in conjunction with PV + BESS, the PU achieved a 49 % reduction. This result emphasizes the advantages of time-of-use adoption for PV + BESS consumers. A greater discrepancy between tariff periods enhances the feasibility of storing off-peak energy for use during peak periods. Currently, BESS implementation costs impede competitiveness, with attractive LCOS metrics achieved only at costs below $600.00/kWh and MRAs below 9 %. BESS + PV lowers generation costs compared to off-peak rates, increasing the viability of shared usage. Integrating PV + BESS systems with rate switching significantly diminishes electricity expenses. The substantial BESS implementation cost necessitates a noteworthy rate differential for viability, which could potentially impact non-PV and non-BESS consumers.

Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system

ABSTRACT In this paper, a hybrid photovoltaic/battery/diesel generator power generation system is designed and optimized to power a network of a remote village in China. The purpose of the system designed here is to lessen the fuel costs of the system dependent on the load demand and some constraints. Therefore, the idea comprises an optimization problem that is solved here based on a new optimization policy by an Improved design of Sparrow Search Algorithm (imSSA) and the Sequential Quadratic Programming (SQP). The results of the proposed method are analyzed in different seasons and also on weekdays and weekends to show their effect on the operational cost of the PV/Diesel BESS system. Final results indicate that in both winter and summer, the weekday costs are lesser than weekend fuel costs. Furthermore, the summer fuel cost is lesser than the winter fuel costs which is because of lesser demand in summer and the higher levels of summer radiation imply less usage of auxiliary origins. The results show that at the weekends cost more than the weekday. For instance, for the proposed mode, the winter weekends and the weekdays’ costs are US$12.1 and US$10.2, respectively, or the summer weekends and the weekdays’ costs are US$7.3 andUS$5.7, respectively.

Capacity and energy sharing platform with hybrid energy storage system: An example of hospitality industry

There is already a large amount of energy storage system (ESS) and demand response potential in the power, heat and gas system, which can be used to promote a cost-effective transition to low-carbon and renewable energy. This paper proposes an energy sharing platform to effectively integrate power, thermal and gas systems of different sizes to balance the fluctuation of renewable energy and improve the system reliability. In a potential application in the hospitality industry, hotels can jointly share and rent ESS. This sharing platform uses a hybrid energy storage system (HESS), comprising BESS and thermal energy storage system (TESS). Unlike BESS, TESS is cost-effective and can be provided by hot water tanks as short-term energy storage. The capacity and energy sharing method of the hybrid BESS and TESS system is provided, including the detailed rental model of HESS in the operation economy. Moreover, the coupled energy supply chain is also considered, the combined utilization of thermal, gas and electricity sharing is achieved. The proposed model is evaluated on the IEEE 18-bus system with the real historical data in Australian energy market, and the cost-benefit analysis is also provided.

Optimal scheduling of battery storage with grid tied PV systems for trade-off between consumer energy cost and storage health

With the advent of renewable energy in India has initiated consumers to get energy storage systems to mange solar power variation. To solve intermittency issues from weather related events that occur with residential photovoltaic generation, intelligent power management strategies have been carried outto tune efficacy of the consumer's renewable energy system while reducing cost. The proposed method decides the state of charge schedule for the battery storage based on a dynamic programming algorithm that minimizes consumer energy cost and maximizes energy storage state of health. The battery state of health was introduced into the model as an ageing coefficient that forces conservative battery behaviour to preserve its lifetime with continued use.Simulation results show a high potential to increase the profitability of a grid connected PV- BESS system using time of use (TOU) tariff.

LVDC 배전망의 PV와 BESS 모델링과 제어기 설계

In this paper, the modeling and controller of PV and BESS, which are the core components of LVDC distribution network used for Gochang testbed, are designed and its performance is verified by simulation using PSCAD software. The simulation results show the modeling and dynamic behavior of PV and BESS system controllers. In LVDC distribution and DC microgrid, we think that this technology can be contributed not only based on customer practical use but also to the fault analysis, protection solution plan, and short circuit capacity calculation of DC circuit breaker.

МОДЕЛИРОВАНИЕ ПАРАМЕТРОВ УПРАВЛЕНИЯ ИНТЕГРИРОВАННОЙ СИСТЕМОЙ СОЛНЕЧНОЙ ГЕНЕРАЦИИ И НАКОПЛЕНИЯ ЭНЕРГИИ

When photovoltaic stations operate, providing large populated areas of the planet, and generating significant amounts of electrical energy, problems often arise due to the inconstancy of the flux of incident solar radiation. This leads to failures in the operation of electrical networks and rapid wear of equipment. By equipping such facilities with new systems for the control and monitoring of photovoltaic parameters, it is possible to significantly increase the generation of electrical energy supplied to the general or local power system, and improve the efficiency of the electrical installations located at the solar power plant. The proposed work presents a general approach to modeling and controlling the operation of photovoltaic systems (PV systems). The necessary data for modeling are provided by manufacturers in the form of tables. The processing of this data provides experimenters and engineers with a convenient way to investigate the problems of integrating photovoltaic systems into uninterruptible generation installations to supply individual consumers. The two-stage power conversion system (PCS) proposed in this article works in conjunction with a photovoltaic generating system. The electrical energy storage system (BESS system) uses rechargeable batteries and can be connected to the DC circuit by means of a bidirectional converter. Thus, the BESS system may provide some auxiliary services that may be needed to improve operational efficiency during the generation process. This article describes a special system of uninterrupted operation (FRT-system), which allows you to create the possibility of uninterrupted operation and the generation of electrical energy by the generation system, in case of incorrect operation of individual nodes (for example, with partial shading of solar modules). The operation of an integrated generation system, an electric energy storage system (BESS-system) and a photovoltaic system (PV-system), together with the corresponding control systems simulated on Matlab platforms and the simulation results confirm the efficiency of the controller. When introducing the proposed systems at existing and under construction solar power plants (SPP), it is possible to significantly improve the efficiency of their work and increase the generation of electricity for consumers.

Optimal Scheduling of Battery Energy Storage for Grid-Connected Load Using Photovoltaic System (PV) via Binary Particle Swarm Optimization (BPSO)

This paper presents an optimal dispatch of battery storage and its economic viability with a photovoltaic system. There are four modelled scenarios based on the combination of interruptible load program and the time-of-use scheme. The scenarios were modelled using a Binary Particle Swarm Optimization and were simulated using Matlab v6. In all the scenarios, this model successfully optimizes the battery dispatch scheduling while simultaneously minimizes the DU’s penalty from exceeding the maximum allowable power demand. This algorithm also optimizes the linearly forecasted demand for the next six year for all the scenarios. Then, an economic analysis for the possible investment to the combined BESS and PV system is conducted through the comparison of the payback periods of each scenario. The first scenario is implemented without ILP and a ToU scheme and has 79.86 payback years. With ILP scheme only, the second scenario has 33.37 payback years. Then the third scenario with ToU scheme only has a 30.29 payback years. Finally, the fourth scenario, with both ILP and ToU schemes, shows the fastest recovery of the investment with 21.57 payback years. Thus the combination of both ILP and ToU schemes provide the best economic benefit. Though the current proposed system is still not economically feasible however the foreseen positive trends on solar and battery technologies will make this system viable.

A mutated hybrid firefly approach to mitigate dynamic oscillations of second order PLL based PV-battery system for microgrid applications

This paper proposes a new mutated hybrid firefly (MHF) algorithm to improve overall system stability by optimizing the gain parameters for active and reactive power control of Distributed Energy Resources (DERs) in a microgrid system. A comprehensive optimization of entire DERs conditioning gain parameters are studied in terms of error function minimization. Photovoltaic (PV) system with battery energy storage (BESS) is proposed as one of the DERs to the microgrid. BESS system is used as an auxiliary power supply to improve the DC link stability of the voltage source converter (VSC). A second order PLL based VSC is considered for grid synchronization for this DER. Diesel engine (DG) with Padè approximation based governor control is incorporated in the proposed microgrid. A low voltage weak AC microgrid is considered for confirmation of increased stability limits through computer simulations using MATLAB editor. The stability limits are studied in terms of DERs dynamic performance. Both active and reactive power dynamic relations and 2nd order PLL feedback system of the PV-VSC system are further studied for validation of stability. Various case observations are presented including both microgrid operational and solar irradiation deviations for performance evaluation of the DERs.

The Business Optimization Analysis of the Virtual Power Plant Based on the Large-Scale BESS System

In the new energy power generation process, because it’s difficult to balance the dynamic energy and the system operation cost is high, the paper puts forward the basic structure of the commercial virtual power plant based on BESS system, then discuss the proper run mode of the virtual power plant to maximize the total revenue. On the basis of the electricity price of the Chinese typical areas and the cost of the BESS system, the paper builds the mathematical model of the economic benefits of the virtual power plant based on BESS system. This paper also builds the regulation optimization simulation model of the virtual power plant based on the aim of maximizing the overall profit of the energy supply and demand sides, and calculates the dynamic balance elements and optimization optimal power output value based on optimization algorithm. The simulation results show that using the virtual power plant based on BESS system to peak load shifting and control frequency is feasible in the economy.