Optimal Bidding Strategy for PV and BESSs in Joint Energy and Frequency Regulation Markets Considering Carbon Reduction Benefits

Photovoltaic(PV)and battery energy storage systems(BESSs)are key components in the energy market and crucial contributors to carbon emission reduction targets.These systems can not only provide energy but can also generate considerable revenue by providing frequency regulation services and participating in carbon trading.This study proposes a bidding strategy for PV and BESSs operating in joint energy and frequency regulation markets,with a specific focus on carbon reduction benefits.A two-stage bidding framework that optimizes the profit of PV and BESSs is presented.In the first stage,the day-ahead energy market takes into account potential real-time forecast deviations.In the second stage,the real-time balancing market uses a rolling optimization method to account for multiple uncertainties.Notably,a real-time frequency regulation control method is proposed for the participation of PV and BESSs in automatic generation control(AGC).This is particularly relevant given the uncertainty of grid frequency fluctuations in the optimization model of the real-time balancing market.This control method dynamically assigns the frequency regulation amount undertaken by the PV and BESSs according to the control interval in which the area control error(ACE)occurs.The case study results demonstrate that the proposed bidding strategy not only enables the PV and BESSs to effectively participate in the grid frequency regulation response but also yields considerable carbon emission reduction benefits and effectively improves the system operation economy.

Bidding Strategy in Deregulated Power Market Using Differential Evolution Algorithm

The primary objective of this research article is to introduce Differential Evolution (DE) algorithm for solving bidding strategy in deregulated power market. Suppliers (GENCOs) and consumers (DISCOs) participate in the bidding process in order to maximize the profit of suppliers and benefits of the consumers. Each supplier bids strategically by choosing the bidding coefficients to counter the competitors bidding strategy. Electricity or electric power is traded through bidding in the power exchange. GENCOs sell energy to power exchange and in turn ancillary services to Independent System Operator (ISO). In this paper, Differential Evolution algorithm is proposed for solving bidding strategy problem in operation of power system under deregulated environment. An IEEE 30 bus system with six generators and two large consumers is employed to demonstrate the proposed technique. The results show the adaptability of the proposed method compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Monte Carlo simulation in terms of Market Clearing Price (MCP).

Dispatch and bidding strategy of active distribution network in energy and ancillary services market

The active distribution network(ADN)is able to manage distributed generators(DGs),active loads and storage facilities actively.It is also capable of purchasing electricity from main grid and providing ancillary services through a flexible dispatching mode.A competitive market environment is beneficial for the exploration of ADN’s activeness in optimizing dispatch and bidding strategy.In a bilateral electricity market,the decision variables such as bid volume and price can influence the market clearing price(MCP).The MCP can also have impacts on the dispatch strategy of ADN at the same time.This paper proposes a bilevel coordinate dispatch model with fully consideration of the information interaction between main grid and ADN.Simulation results on a typical ADN validate the feasibility of the proposed method.A balanced proportion between energy market and ancillary services market can be achieved.

Market Structure and Competitive Strategy in Market Square

Market Square shopping center contains several restaurants and cafés providing a diverse range of Asian foods and delicacies and this area is known by locals and Griffith University students as a great location for‘eating out'.Then,what is the market structure in this shopping mall and what kind of competitive strategies should be used to maximize profits according to the characteristics in this shopping center?

A Reinforcement-learning-based Bidding Strategy for Power Suppliers with Limited Information

The power market is a typical imperfectly competitive market where power suppliers gain higher profits through strategic bidding behaviors.Most existing studies assume that a power supplier is accessible to the sufficient market information to derive an optimal bidding strategy.However,this assumption may not be true in reality,particularly when a power market is newly launched.To help power suppliers bid with the limited information,a modified continuous action reinforcement learning automata algorithm is proposed.This algorithm introduces the discretization and Dyna structure into continuous action reinforcement learning automata algorithm for easy implementation in a repeated game.Simulation results verify the effectiveness of the proposed learning algorithm.

The Research of Galanz＇s Niche Strategy

Niche strategy is one of the competitive strategies based on a small market, and an enterprise enters the market and becomes the leader of the market in the end. Galanz is a typical Chinese manufacturer to execute niche strategy. It makes use of labour force advantage, resource advantage and technologist advantage to enter microwave oven market, and it has been one of the most famous manufacture factories in the world. The success of Galanz gives elicitations to other Chinese manufacturers, and it will inspirit more and more manufacturers appear similar as Galanz.

Analysis on the Mode and Competitive Strategy of Electricity Sales in the Background of Electric Power System Reform

A new round of reform of the power system conforms to the national development of the energy revolution and the reform of the electricity market system. As an important promoter of the energy revolution and power reform, a new round of power system reform has brought profound changes to the energy industry and the power industry and the electricity market system has changed dramatically. With the release of the electricity market, market competition intensified. This paper analyzes the competition strategy of electricity sales market, analyzes the characteristics of market participants such as power generation enterprises, power grid enterprises, electricity sales companies and users, and puts forward the corresponding coping strategies to help the market participants to deal with the opportunities and challenges brought by power system reform, provide guidance and reference for the market participants.

Strategic Bidding in Distribution Network Electricity Market Focusing on Competition Modeling and Uncertainties

Developing the electricity market at the distribution level can facilitate the energy transactions in distribution networks with a high penetration level of distributed energy resources(DERs)and microgrids(MGs).However,the lack of comprehensive information about the marginal production cost of competitors leads to uncertainties in the optimal bidding strategy of participants.The electricity demand within the network and the price in the wholesale electricity market are two other sources of the uncertainties.In this paper,a day-ahead-market-based framework for managing the energy transactions among MGs and other participants in distribution networks is introduced.A game-theory-based method is presented to model the competition and determine the optimal bidding strategy of participants in the market.Robust optimization technique is employed to capture the uncertainties in the marginal cost of competitors.Additionally,the uncertainties in demand are modeled using a scenario-based stochastic approach.The results ob-tained from case studies reveal the merit of considering competition modeling and uncertainties.

Market Power of Coordinated Hydro-wind Joint Bidding:Croatian Power System Case Study

The paper analyses the coordinated hydro-wind power generation considering joint bidding in the electricity market.The impact of mutual bidding strategies on market prices,traded volumes,and revenues has been quantified.The coordination assumes that hydro power generation is scheduled mainly to compensate the differences between actual and planned wind power outputs.The potential of this coordination in achieving and utilizing of market power is explored.The market equilibrium of asymmetric generation companies is analyzed using a game theory approach.The assumed market situation is imperfect competition and non-cooperative game.A nu-merical approximation of the asymmetric supply function equilibrium is used to model this game.An introduced novelty is the application of an asymmetric supply function equilibrium approximation for coordinated hydro-wind power generation.The model is tested using real input data from the Croatian power system.

Distributed Photovoltaic Generation in the Electricity Market:Status,Mode and Strategy

With the increasingly serious climate change and energy crisis,photovoltaic(PV)generation,as one of the most important renewable energy resources,has experienced dramatic growth worldwide due to its environmental friendliness.How-ever,the uncertainty and intermittency of PV bring inevitable challenges to power systems.With the rapid development of distributed PV and the continuous evolution of the electricity market,increasingly high penetration levels of distributed PV generation have led to a series of problems in power system operations,such as voltage fluctuation,frequency deviation,etc.The market participation of distributed PV needs to be solved.Reasonable market participation form,market mechanism and bidding strategies are vital to the development of distributed PV in the electricity market.This paper comprehensively reviews the development and impacts of distributed PV in the electricity market and discusses the relevant market modes and bidding strategies in detail.

Approximating Nash Equilibrium in Day-ahead Electricity Market Bidding with Multi-agent Deep Reinforcement Learning

In this paper,a day-ahead electricity market bidding problem with multiple strategic generation company(GEN-CO)bidders is studied.The problem is formulated as a Markov game model,where GENCO bidders interact with each other to develop their optimal day-ahead bidding strategies.Considering unobservable information in the problem,a model-free and data-driven approach,known as multi-agent deep deterministic policy gradient(MADDPG),is applied for approximating the Nash equilibrium(NE)in the above Markov game.The MAD-DPG algorithm has the advantage of generalization due to the automatic feature extraction ability of the deep neural networks.The algorithm is tested on an IEEE 30-bus system with three competitive GENCO bidders in both an uncongested case and a congested case.Comparisons with a truthful bidding strategy and state-of-the-art deep reinforcement learning methods including deep Q network and deep deterministic policy gradient(DDPG)demonstrate that the applied MADDPG algorithm can find a superior bidding strategy for all the market participants with increased profit gains.In addition,the comparison with a conventional-model-based method shows that the MADDPG algorithm has higher computational efficiency,which is feasible for real-world applications.

A Deep Reinforcement Learning Bidding Algorithm on Electricity Market

In this paper,we design a new bidding algorithm by employing a deep reinforcement learning approach.Firms use the proposed algorithm to estimate conjectural variation of the other firms and then employ this variable to generate the optimal bidding strategy so as to pursue maximal profits.With this algorithm,electricity generation firms can improve the accuracy of conjectural variations of competitors by dynamically learning in an electricity market with incomplete information.Electricity market will reach an equilibrium point when electricity firms adopt the proposed bidding algorithm for a repeated game of power trading.The simulation examples illustrate the overall energy efficiency of power network will increase by 9.90%as the market clearing price decreasing when all companies use the algorithm.The simulation examples also show that the power demand elasticity has a positive effect on the convergence of learning process.

Investigation and Analysis of the Current Situation of New Media Marketing in Small and Medium-sized Enterprises

With China’s entry into WTO, China’s small and medium-sized enterprises are facing unprecedented opportunities and challenges. The integration of the world economy has brought opportunities for the internationalization and industrialization of small and medium-sized enterprises. However, due to the lack of systematic marketing strategies, the development of small and medium-sized enterprises is beset with difficulties. From the perspective of marketing strategy, this paper analyzes the marketing strategy problems faced by small and medium-sized enterprises. From four aspects: marketing concept, marketing team, marketing strategy and marketing model 4P, this paper puts forward some countermeasures and suggestions for improving the marketing benefits of small and medium-sized enterprises.

The U.S. Men＇s Shaving Cream Market： A Competitive Profile

Porter identifies high market share with cost leadership strategy which is based on the idea of competing on a price lower than that of the competition. However, in most consumer markets a business should serve the middle class by competing in the mid-price segment, offering quality better than that of the competition at a somewhat higher price. It is this path that can lead to market share leadership： a strategy that can be both profitable and sustainable. The U.S. men＇s shaving cream market consists of two major product-market segments： gel and foam. We test the hypothesis that the best-selling brand is very likely to be a member of the mid-price segment with a price tag that is higher than that of the nearest competition. This study is based on annual U.S. sales data for 2008 and 2007 from discount retail stores, food stores, and drug stores. We performed two separate analyses for 2008 and 2007, using cluster analysis as the main analytic tool. The results were remarkably consistent between the two years. In the gel segment--by far the most important--the price-quality segmentation analysis supported our hypothesis. An interesting finding is that, for both the gel and foam segments, we found the rank order correlation of brand unit price between 2007 and 2008 as highly significant. This means that in this market management considers the price of a brand as a strategic rather than a tactical variable. Although, technically the results for the foam segment were negative, this does not necessarily contradict our hypothesis. Finally, we discovered six strategic groups in the industry and have tried to articulate what their competitive strategy is.

The Importance of Small and Medium Enterprise Development for Efficient Global Market Environment

Small and medium enterprises(SMEs)play an important role in the world economy.Modern trends in the development of small and medium enterprises imply a constant increase in their role in the total income of an economy.For such an approach,it is important to achieve quality organizational and managerial concepts of planning strategy development.In many countries,small businesses dominate in the production of a number of smaller products,higher consumption,and high quality of these products.The concept of a small economy consists of a group of companies that stand out in terms of their characteristics in relation to large companies.In relation to large companies as business systems,SMEs differ based on the concept of their own organization’s business,the volume of business,and the availability of resources.Research data show that the main obstacle to efficient continuous business of SMEs in the world is the procurement and maintenance of business resources.Ensuring continuity in production is often a problem of lack of resources,which primarily characterizes them in relation to large companies.Small business and entrepreneurship are the main backbone of today’s economic development,viewed globally.The purpose of the development of small and medium enterprises in the world is to enable the development of a successful and flexible entrepreneurial climate as an important organizational determinant,which is a prerequisite for progress in the modern world economy.The feature of SME development is the innovation of employees that needs to be constantly developed.In that way,conditions are provided for technological development,formation of flexible organizations,and new employment.In practice,small and medium enterprises are the engine of economic development.It is a sector that promotes private property and entrepreneurial skills.According to experts on economic issues,SMEs are today and in the future,not only in Serbia,the Region,but also in the world,a synonym for the private sector-for entrepreneurship.Comparative analysis shows the advantage of SMEs,especially in flexible business,where they can quickly adapt to change and can fully meet market demands.

Quality of High-Tech Product Marketing A Comparative Study Between Chinese and European Telecommunication Companies in Saudi Arabian Market

This paper specifies substantial characteristics in high-tech industry which is playing an increasingly dominant role in men＇s lives with the rapid development of high-tech industry, among which the telecommunication industry is the best example. From a macro perspective, competition has been fierce in high-tech and telecom over the past years, especially in increasingly saturated markets such as North America and Europe. In order to sustain and thrive in this market, companies have to apply various applicable strategies. The dominance of enterprises from developed nations is not a rare phenomenon. How China as a late-comer can succeed in the high-tech field is a serious issue that requires consideration. China＇s Huawei, a relatively new enterprise that has become a leader in telecom industry, boasts a perfect example in this case. This paper attempts to investigate how Huawei made its way into the telecom sector by comparing with Ericsson, a giant telecom enterprise in European market. More specifically, the paper aims to explore the most significant factors in developing a suitable marketing strategy for telecom companies in Saudi Arabia. The results of the study show that given the nature of telecom industry, innovation and customization play a crucial role in venturing in foreign nations. It can also be concluded that an overall analysis of various factors is quite essential when entering middle-eastern markets such as Saudi Arabia. This also gives China a revelation that being a late-comer is never an excuse to expand its telecom sector, instead, as long as due attention is given to enterprises＇ marketing strategies and competitiveness. Conclusions have been made about the nature, characteristics, the Saudi Arabia markets, and goals and objectives telecommunication in Saudi Arabia. Methodology has been used for stating and structuring the empirical data.

考虑换电需求响应的换电站参与电能量-调频市场竞价策略

电动汽车(EV)大规模发展会加大电网的调峰调频压力。通过换电站市场化运营,可有效激励换电站利用EV换电需求和换电站电池灵活性资源,缓解电网调峰调频压力。为此,提出了换电站参与电能量市场和调频辅助服务市场的协同竞价策略及其两阶段优化模型。第1阶段依据调频市场需求制定换电价格,引导EV调整换电需求,优化冗余电池数量及时序,以便与调频需求趋势一致,进而提升换电站调频服务收益;第2阶段考虑换电站需求响应和市场调峰调频需求,制定换电站竞价策略。所提出竞价策略在优先满足EV换电需求的同时,可降低换电站充电成本、提升调频服务收益,并助力电网调峰调频。算例仿真结果验证了所提策略的有效性。

Search Engine Optimization,Competitive Advantage and Market Performance of Registered Tours and Travel Agencies in Nairobi City County,Kenya

COVID-19 is a devastating pandemic with widespread negative health,social,and economic consequences.Due to drastic changes in the business environment of tour and travel agencies,firms and marketing managers can now use search engine optimization to effectively position themselves.The study’s main goal is to evaluate the effect of search engine optimization on the market performance of registered tours and travel agencies in Nairobi County,Kenya.Kenya’s tourism ministry and state government work hard to improve the business climate for tour and travel companies.Despite the overall positive image,international tourist market growth rates in Kenya have been 3.5 percent slower from 2017 to 2019 compared to previous years.This was further aggregated by the onset of the COVID-19 pandemic in the year 2020,when the growth rate of tours and travel agencies fell by 65%.The study’s main goal is to evaluate the effect of search engine optimization on the market performance of registered tours and travel agencies in Nairobi County,Kenya.This study adopted a positivist philosophy.Both descriptive and explanatory research designs were used.A self-administered semi-structured questionnaire was used to collect data from 324 registered tours and travels agencies picked from and a sample of 179 were used.Data analysis included the development and interpretation of both descriptive and inferential statistics,such as frequencies,mean,percentages,and standard deviation,and was presented using tables and numerical values.The results of regression analysis established that search engine optimization had a positive and significant effect on market performance of the registered tours and travel agencies picked from a sample of 179.The study recommends that agency management ensure that the firm’s website is easily accessible in order to improve agency performance.Using the internet to gain a large market share can assist tours and travel agencies in improving the performance and income of their websites.

风氢耦合系统参与现货市场的竞标策略及优化调度方法

为解决高比例风电市场竞标能力弱、市场消纳困难的问题,提出高比例风电耦合氢储能系统联合参与现货市场竞价的双层Stackelberg博弈模型。首先,研究风氢耦合系统内部能量转换关系,揭示风氢耦合系统的能量“时空平移”机理,在综合考虑风氢耦合系统收益和成本的基础上,建立风电投标和氢储能充放电决策模型;其次,兼顾风氢耦合系统和独立系统运营商的利益诉求,基于Stackelberg博弈建立以火电机组、风氢耦合系统为主体的市场出清模型;最后,针对双层模型求解困难的问题,运用KKT条件和强对偶理论将双层模型转换为易于求解的单层混合整数规划模型。仿真结果表明,所提策略对高比例风电的市场消纳起到了积极作用。

多品种电力市场交易下负荷聚合商投标策略及市场均衡分析

中国新型电力系统建设正面临灵活资源短缺等问题,亟须发挥负荷侧调节能力。随着电网与负荷双向交互越发频繁,更多负荷聚合商通过整合辖区灵活资源参与市场交易,导致以往由发电侧占主导的市场均衡被打破。为研究多主体负荷聚合商博弈策略,构建了能量-备用电力市场下负荷聚合商双层投标模型,并引入多场景描述非决策者投标不确定性对市场均衡的影响。通过强平稳算法(SSM)将多个双层模型转化为带均衡约束的均衡问题(EPEC)模型,并采用大M法、二进制展开法等线性化方法进行线性化。算例结果验证了模型及求解算法的合理性和有效性,表明基于EPEC模型的负荷聚合商最优投标策略更加契合实际市场规则,有助于系统优化负荷曲线,缓解灵活资源供需紧张。