Rolling Decision Model of Thermal Power Retrofit and Generation Expansion Planning Considering Carbon Emissions and Power Balance Risk

With the increasing urgency of the carbon emission reduction task,the generation expansion planning process needs to add carbon emission risk constraints,in addition to considering the level of power adequacy.However,methods for quantifying and assessing carbon emissions and operational risks are lacking.It results in excessive carbon emissions and frequent load-shedding on some days,although meeting annual carbon emission reduction targets.First,in response to the above problems,carbon emission and power balance risk assessment indicators and assessment methods,were proposed to quantify electricity abundance and carbon emission risk level of power planning scenarios,considering power supply regulation and renewable energy fluctuation characteristics.Secondly,building on traditional two-tier models for low-carbon power planning,including investment decisions and operational simulations,considering carbon emissions and power balance risks in lower-tier operational simulations,a two-tier rolling model for thermal power retrofit and generation expansion planning was established.The model includes an investment tier and operation assessment tier and makes year-by-year decisions on the number of thermal power units to be retrofitted and the type and capacity of units to be commissioned.Finally,the rationality and validity of the model were verified through an example analysis,a small-scale power supply system in a certain region is taken as an example.The model can significantly reduce the number of days of carbon emissions risk and ensure that the power balance risk is within the safe limit.

Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

The time-of-use(TOU)strategy can effectively improve the energy consumption mode of customers,reduce the peak-valley difference of load curve,and optimize the allocation of energy resources.This study presents an Optimal guidance mechanism of the flexible load based on strategies of direct load control and time-of-use.First,this study proposes a period partitioning model,which is based on a moving boundary technique with constraint factors,and the Dunn Validity Index(DVI)is used as the objective to solve the period partitioning.Second,a control strategy for the curtailable flexible load is investigated,and a TOU strategy is utilized for further modifying load curve.Third,a price demand response strategy for adjusting transferable load is proposed in this paper.Finally,through the case study analysis of typical daily flexible load curve,the efficiency and correctness of the proposed method and model are validated and proved.

Effects of AOS on Bt's Adhesion Amount on Vegetable Leaves and Its Insecticidal Effect

[Objectives] This study was conducted to investigate the safety of surfactants AOS and Tween 80 on Bt and their effects on Bt's adhesion amount on crop leaves and its field efficacy. [Methods] Certain concentrations of AOS and Tween 80 were added to Bt liquid to check the effects of the surfactants on Bt spore germination, the adhesion amount of Bt on vegetable leaves and the field efficacy on beet armyworm. [Results] After treatment with surfactants AOS and Tween 80, Bt spores germinated normally. After adding AOS, the adhesion amounts of Bt spores on scallion, kohlrabi, radish and Chinese cabbage leaves were 209.75, 249.00, 274.00 and 281.75, respectively, which was 3.8, 2.2, 2.0 and 1.6 times higher than the CK. After adding Tween 80, the adhesion amounts of Bt spores on scallion, kohlrabi, radish and Chinese cabbage leaves were 198.25, 203.25, 233.00 and 236.75, respectively, which were 3.6, 1.8, 1.7 and 1.4 times higher than the CK, respectively. The average field insecticidal effect of the Bt liquid reached 81.3% and 79.5% after the addition of surfactants AOS and Tween 80, respectively, while the average insecticidal effect of the CK without the addition of a surfactant was only 53.3%, which was remarkably lower than above two values. [Conclusions] Surfactants AOS and Tween 80 are safe for Bt; and the addition of surfactants AOS and Tween 80 significantly increased the amount of Bt attached to vegetable leaves, and significantly improved the control efficacy of pests on plants rich in cuticle.

Efficacy Tests of Nine Insecticides on Tetranychus truncatus Ehara

[Objectives] This study was conducted to screen out pesticides that are highly effective against Tetranychus truncatus Ehara. [Methods] Nine kinds of pesticides were used to control pests on soybean. A petri dish efficacy test was first performed in laboratory,then a leaf efficacy test was performed in a greenhouse,and finally,three kinds of agents with good efficacy in the two tests were selected for field control tests. [Results] The indoor and outdoor test results showed that abamectin was the best agent,which showed efficacy higher than 96%,followed by bifenthrin,whose efficacy was higher than 93%. It can be seen that abamectin is the best choice for the prevention and control of T. truncatus,and bifenthrin can also be used according to the situation. [Conclusions] This study provides a theoretical basis for the control of T. truncatus.

Critical peak rebate strategy and application to demand response

Time-of-use (TOU) pricing strategy is an important component of demand-side management (DSM), but the cost of supplying power during critical peak periods remains high under TOU prices. This affects power system reliability. In addition, TOU prices are usually applicable to medium- and long-term load control but cannot effectively regulate short-term loads. Therefore, this paper proposes an optimization method for TOU pricing and changes the electricity consumption patterns during the critical peak periods through a critical peak rebate (CPR). This reduces generation costs and improves power system reliability. An optimization model for peak-flat-valley (PFV) period partition is established based on fuzzy clustering and an enumeration iterative technique. A TOU pricing optimization model including grid-side and customer-side benefits is then proposed, and a simulated annealing particle swarm optimization (SAPSO) algorithm is used to solve the problem. Finally, a CPR decision model is developed to further reduce critical peak loads. The effectiveness of the proposed model and algorithm is illustrated through different case studies of the Roy Billinton Test System (RBTS).

Inverse Proportion Technique Based Scheduling Strategy for Energy Storage System Considering Load Demand Differences

The energy storage system(ESS)as a demand-side management(DSM)resource can effectively smooth the load power fluctuation of a power system.However,designing a more reasonable ESS operational strategy will be a prerequisite before incorporating the energy storage device into DSM.As different load levels have different demands for the real-time chargedischarge power of an ESS,this paper proposes a heuristic ESS operation scheduling strategy which can take into account the electrical load demand differences.In this paper,firstly,two demand degree concepts for charging power and discharging power are defined to describe the differentiated ESS demand under the condition of different electrical load levels.Secondly,an inverse proportion technique based ESS scheduling strategy,with the consideration of the load demand difference,is proposed in this paper.Thirdly,some evaluating indices are defined in this paper for describing the influence of the proposed strategy on the smoothing degree of the daily load curve.Finally,several case studies are designed to verify the validity and correctness of the proposed technique,and the results show that the proposed technique can effectively smooth the load curve and improve the ability of peak shaving and valley filling.

Bi-objective Layout Optimization for Multiple Wind Farms Considering Sequential Fluctuation of Wind Power Using Uniform Design

The fluctuation of wind power brings great challenges to the secure,stable,and cost-efficient operation of the power system.Because of the time-correlation of wind speed and the wake effect of wind turbines,the layout of wind farm has a significant impact on the wind power sequential fluctuation.In order to reduce the fluctuation of wind power and improve the operation security with lower operating cost,a bi-objective layout optimization model for multiple wind farms considering the sequential fluctuation of wind power is proposed in this paper.The goal is to determine the optimal installed capacity of wind farms and the location of wind turbines.The proposed model maximizes the energy production and minimizes the fluctuation of wind power simultaneously.To improve the accuracy of wind speed estimation and hence the power calculation,the timeshifting of wind speed between the wind tower and turbines’locations is also considered.A uniform design based two-stage genetic algorithm is developed for the solution of the proposed model.Case studies demonstrate the effectiveness of this proposed model.