In recent years, the operation of aluminum-silicon production projects in Yunnan Province will bring a substantial increase in power load and power consumption. The new wind power and photovoltaic units are limited, and the output of new energy is difficult to predict, which may lead to a power gap in Yunnan Province. Therefore, Yunnan Province plans to build 4.8 million kilowatts of coal-fired units, and strive to put the first batch of units into operation in 2024. In this paper, based on the analysis of the cost composition of coal-fired units, combining the research results of LCOE model at home and abroad and the principle of LCOE analysis, the LCOE analysis model suitable for China's coal burning mechanism is established. The model is used to measure the levelized cost of coal-fired units in Yunnan Province, and the sensitivity analysis is carried out on the important factors affecting the LCOE of coal-fired units, to find out the key factors, and to focus on control from the whole life cycle.

In order to improve the consumption level of distributed new energy, reduce the construction cost of power sources, improve energy utilization efficiency, and maximize the value of virtual power plants, a virtual power plant will be constructed with wind power suppliers, photovoltaic suppliers, energy storage suppliers, and controllable load suppliers as the main beneficiaries to participate in electricity trading. Firstly, construct an optimal operating mode model for virtual power plants that considers typical daily patterns; Secondly, the model is solved using a combination of particle swarm optimization algorithm and commercial solvers; Based on the optimal operating mode obtained through model solving, the Shapley value method is improved with risk preference, cooperation willingness, and participation level as factors, and a profit correction model is established; Finally, the feasibility and applicability of the established model and method are verified through numerical simulations and result analysis.

With the full liberalization of general industrial and commercial users to participate in market-oriented transactions, the scale of the retail market will further grow rapidly. In 2021, Kunming Power Exchange Center established the “Lai Tao Dian” retail power trading platform to provide better services for retail users and power selling companies, demonstrating that the platform economy enables Yunnan's electricity retail market. In order to further promote the reform of national electricity sales side, this paper studies the characteristics of platform economy and the operation mode of power retail platform, and believes that the current platform economic practice can meet the needs of various power market players. The platform economy is conducive to promoting the reform of the power selling side, guiding the digital and intelligent transformation of the power selling industry, and laying a good foundation for the integration of the ecological value chain of the power selling industry. This paper puts forward suggestions on the continuous improvement of design, operation and governance capabilities of “Lai Tao Dian” platform.

Under the influence of uncertain factors such as the international economic situation and the scarcity of traditional fossil fuels, renewable energy policies in various countries are expected to further diverge, and electricity prices will become more volatile. In light of the European Union's more ambitious 2030 climate goals, investigating the true cost of renewable electricity is crucial for understanding market signals and making informed energy decisions. This study focuses on countries within the EU with a high share of renewable energy, calculates their electricity system costs, and compares them to the EU average to assess whether the rise in electricity prices can be attributed to an increase in system costs per kilowatt-hour. The findings indicate that, due to the high initial investment costs, power producers must charge higher prices to ensure financial balance, which drives the increase in electricity prices. Once the initial fixed costs are spread out, electricity prices reach their peak. As the share of renewables continues to grow, the shutdown of thermal power plants and the uncertainty associated with a high proportion of green energy raise the demand for peaking units, which increases the marginal cost of electricity, leading to another round of price hikes.

The development of energy storage is still in its early stages, and a series of policies have been formulated both domestically and internationally to support its development. Compared to China, countries, and regions such as the United States, Europe, and Australia have more mature policies and business models related to energy storage, effectively promoting the rapid development of energy storage, which has certain reference significance for China to promote the large-scale development of energy storage. This article introduces the situation of the United States, Europe, and Australia from the perspectives of industrial development, policy support, fiscal and tax subsidies, and market rules. It compares the actual situation in China and combines the demand for energy storage development in the construction of new power systems to propose inspiration and suggestions for the development of domestic energy storage.

Blockchain technology can provide distributed power generation projects and power users with direct trading opportunities, thus promoting distributed power consumption and reducing transaction costs and transaction risks. This study first carries out the design of a blockchain-based distributed power direct transaction process, proposing six steps: transaction application, information sharing, transaction matching, transaction audit, transaction settlement, and transaction completion. Secondly, the smart contract design of the relevant process is carried out, combining the DE-GWO-SVR prediction model, CP-ABE attribute encryption method, k-prototype clustering algorithm, blockchain storage based on location partition, unconsumed output model, consensus group and entropy weight-TOPSIS method for the design of key smart contracts. Finally, the architecture of blockchain-based distributed power direct trading is designed, including the base layer, platform layer, service layer, user layer, and support model.

Power futures market is the next stage of the development of the electricity spot market. In the power futures market, we must consider how to deal with the risks brought by the emerging power financial derivatives. Based on the analysis of the principle of dynamic margin system of SPAN (Standard Portfolio Analysis of Risk) futures, we introduced SPAN system into Chinese power futures market, and simulated the parameters by VaR and risk matrix. Then, this paper selects two power futures products of ICE (INTERCONTINENTAL EXCHANGE) for example analysis of this model. The results show that, compared with the current static margin system in China, SPAN futures dynamic margin system can reduce the margin level of power futures products for a long time and reduce the occupancy rate of funds. The dynamic margin system is an important direction for the development of domestic power futures market in the future.

With the launch of the domestic spot market pilot, the establishment of the power futures market has become the next stage of the power market reform.Taking the Australian electricity futures market as an example, this paper first introduces the development history of the Australian electricity market, and then focuses on summarizing the contract elements, trading mechanism, delivery mode and risk prevention and control mechanism of the Australian electricity futures. Finally, combining with the construction status of the Yunnan electricity market, This paper puts forward three suggestions for establishing electric power futures market in Yunnan from perfecting electric power spot, competitive mechanism. Finally, combined with the current development process of Yunnan, the enlightenment of Australia to Yunnan electric power futures market is summarized from three aspects: improving the spot market of electricity, establishing the competitive mechanism and improving the risk prevention and control measures.

Since the new round of power system reform, Yunnan’s power market has achieved outstanding results, but the marketization of thermal power has not been smooth sailing, and thermal power is facing operating difficulties. On the basis of combing the survival dilemma of thermal power in Yunnan, this paper designs a series of “long-term backup compensation”, “thermal power regulation price subsidy”, “thermal power regulation power”, “and “market + regulation’ dual price bidding mechanism” according to market changes. The thermal power relief mechanism analyzes. In the Yunnan power market, the mechanism of the project design has achieved good practical results. The thermal power mechanism design in this article and the ways to get rid of thermal power can provide a reference for other provinces in China to solve thermal power relief.

Under the background of "dual carbon" targets, China's carbon market has put into operation. Bargaining transaction in the carbon market will make carbon price one of the costs of power plant. However, the key factor, carbon price, was not included in many previous studies and predictions on China's electricity price. Therefore, with the gradual popularization of carbon market in the future, it’s crucial to incorporate carbon price into the cost of power enterprises, re-forecasting the electricity price. In this paper, the electricity price in power market is discomposed into Intrinsic Mode Functions (IMF) by means of coupled carbon price and Ensemble Empirical Mode Decomposition (EEMD) method. Secondly, the IMF sequence is classified, and each IMF component possesses its corresponding GRU neural network for training. Finally, in combination with carbon neutral strategies, the CGE modal is adopted to predict the long-term trend of carbon price, so as to reconstruct the electricity price and establish the electricity price prediction model coupled with the carbon price.

In the context of the double carbon target and the construction of a new type of power system, the power system has been developing rapidly in the direction of new energy sources as the mainstay. Energy storage has a significant role to play in the reliable grid connection and efficient consumption of a high proportion of new energy sources, and can also fundamentally solve the problems of insufficient grid regulation and difficult frequency stability that it brings. Therefore, it is important for the development of energy storage to participate in electricity market transactions and to improve the market transaction mechanism. This paper introduces the domestic and foreign energy storage market trading mechanisms from four aspects: foreign energy storage platform, key issues of energy storage participation in the market, energy storage participation in the electricity market trading mechanism, and energy storage participation in the auxiliary services market trading mechanism, and focuses on the design and example analysis of energy storage participation in the electricity market trading mechanism. The results show that it is not easy for energy storage to participate in the electricity energy trading market, but the revenue in the frequency regulation auxiliary service market is considerable and higher than that in the electricity energy market.

This paper systematically expounds design and application of the Electric Power Retail Platform in Yunnan Province. The power retail market has business pain points that are difficult to restore power commodity attributes, high operating costs of electricity sales companies, and high transaction costs for users. Yunnan Province, In response to these difficulties, has followed the operation rules of the electricity market, drawn lessons from mature and advanced ecommerce models, and fully combined the advantages of the trading center’s energy big data and cloud platform, designed a brand-new functional framework of the electricity retail platform, built a “Three platforms & Two terminals” system, and innovatively built a “one-step” retail service platform. Finally, suggestions are put forward to further improve the platform construction, which are hoped to provide reference and enlightenment for the construction of other provincial or regional power retail platforms.

The Renewable Portfolio Standard (RPS) requires renewable resources to occupy an important proportion in electricity production, but from a practical point of view, market forces have a very deep impact on the renewable energy certificate market and electricity market. In this article, therefore, understand the market power problems in RPS, puts forward the leading edge of the enterprise competition model, focusing on the analysis of different leading enterprise market power in renewable energy and electricity price changes in the price of certificate, according to the specific requirements of RPS at the same time, explicitly different leading enterprise in the empirical analysis of the impact of market power. The final results show that the price of renewable energy certificates is too low, so that the development of renewable energy investment is not sufficient for a long time. However, too high price will affect the incentive signal of investment, resulting in low efficiency allocation of power generation resources in the long term. Therefore, the regulatory authorities should put forward effective market performance monitoring content on the basis of understanding the market changes, so as to ensure the healthy and stable development of renewable energy in RPS.