Electric Power,2020,Vol 53,No. 06
【Abstract】 Electricity trading is an important part of the electricity market and the core of the electricity market operation. Up to now, the construction of China’s electricity market is still in its infancy; the provincial trading centers have not been established for a long time, and the trading mechanism has not been fully established. Brazil, as one of the BRICS countries, has a high degree of similarity to the development of China. There are also many similarities in the development trajectory of the power industry. The rapid establishment and efficient operation of the electricity market are of great reference to the current construction of the electricity market in China. This article studies the electricity market trading mechanism in Brazil for many years from the aspects of regulators, participants, market mechanisms, types of trading markets, and supporting measures, summarizes its operating experience, analyzes the similarities and differences between the Brazilian electricity market trading mechanism and China's electricity market transactions, as well as the mechanism in the adaptability of China. The empirical enlightenment beneficial to the construction of China's electricity market is finally proposed.
Bi-Level Optimal Model of Mid-Long Term Scheduling and Maintenance Planning for Cascade Hydropower Stations in Electricity Market Environment
Power System Technology,2018,Vol 42,No. 05
【Abstract】 In electricity market environment, to reduce the influence of maintenance plan on operation revenue for cascade hydropower stations, a bi-level optimization model for mid-long term scheduling and maintenance planning is established. Mid-long term schedule optimization is performed in outer layer, and decision-making is carried out according to runoff and price forecast. Genetic algorithm is used to optimize cascade hydropower stations’ output, and search optimal benefit space. Maintenance plan is created based on optimization carried out in inner layer. The impact of hydraulic and power coupling relationship between upstream and downstream station on maintenance schedule is specially considered to meet the actual operating requirements. The optimal intermediate result of mid-long term schedule is taken as boundary conditions, and minimizing maintenance loss as optimal objective, including the income loss caused by maintenance and outage risk loss. The mid-long term generating income and maintenance loss are merged into total revenue, taken as fitness function of genetic algorithm, so that joint optimization of mid-long term generation plan and maintenance plan is realized. Finally, taking a “one-reservoir and three-step” hydropower system as an example, the simulation analysis shows that the bi-level optimizing model has clear structure and strong practicability.
Electric Power,2018,Vol 51,No. 12
【Abstract】 Based on the characteristics of China’s power system and the priority of electricity market development, we establish an integrated adaptability evaluation framework of electricity market. Firstly, an adaptability evaluation index system is built with the consideration of four aspects including effectiveness, fairness, security, and scalability of the market. Accordingly, multiple secondary indicators are raised to quantify the corresponding electricity market model in a scientific and reasonable way. Furthermore, an evaluation method based on fuzzy evaluation and analytic hierarchy process (AHP) is proposed to realize the quantitative evaluation of the electricity market on the basis of the index system. Finally, based on the proposed adaptability evaluation index system and method, a complete adaptability assessment framework is constructed for the electricity market, which is helpful for the comprehensive assessment of the electricity market and the orderly and sustainable construction of the electricity market.
Clean Energy Generation and Dispatch in Reformed Wholesale Electricity Markets: Experience in the United States
Electric Power,2017,Vol 50,No. 04
【Abstract】 In recent years, the U.S. electricity market has undergone several stages of reform, and gradually formed the market where the wholesale electricity price is determined by the supply and demand. The U.S. electricity market also changes along with the rapid development of clean energy, forming a number of the market mechanisms which are specifically developed for the power generation characteristics of clean energy. On the basis of discussing the pricing mechanism of the U.S. electricity market, this paper analyzes the experience and practice of encouraging renewable energy development and clean energy dispatch from the angle of market mechanism and dispatching decision, and puts forward the reference for clean energy dispatching in China.
Electric Power,2017,Vol 50,No. 04
【Abstract】 The new round of power sector reform has promoted the rapid development of China’s electricity direct trading market. This paper reviews the development history, market models and characteristics of the electricity direct trading market in such typical provinces as Yunnan, Inner Mongolia and Guangdong, and summarizes their respective achievements and challenges. Some policy recommendations are proposed on the future construction directions of China’s electricity market, which can provide a reference for electricity market construction of China’s other provinces.
Flexible Ramping Product in Electricity Markets: Basic Concept, Equilibrium Model and Research Prospect
Proceedings of the CSEE,2017,Vol 37,No. 11
【Abstract】 In recent years, with the great growth in the penetration of renewable energy generation, the uncertainty of renewable energy generation output brings about great challenges for the operation of the power system. Due to renewable energy’s output characteristics of randomness, fluctuation and anti-peak-shaving, the situation of lack of flexible ramping resources is getting worse, resulting in the large-scale wind and solar curtailment. To address the issue, the flexible ramping product (FRP) and its market mechanism have been proposed, and how to define FRP and organize the FRP market has become a hot topic. Firstly, the paper introduced the concept and definition of FRP, compared between FRP and traditional ancillary services such as regulation and reservation. Secondly, the paper depicted the composition of FRP and gave an overview of the FRP development and implementation. Thirdly, the equilibrium model of joint market of energy and FRP was proposed. At last, the summarization of existing research papers on FRP was provided, with the outlook of FRP research in the future.
Proceedings of the CSEE,2016,Vol 36,No. 03
【Abstract】 Due to the developing of large consumers direct-purchasing and large-scale renewable energy integrating into grid, the power system has encountered great challenges in peak load regulation. In traditional power system operations, ancillary services, such as generator startup/shutdown or deep peak load regulation, rely on operator's own decisions which would easily cause unfairness among market participants. Thus, we designed a new monthly electricity market mechanism based on constraint relaxation. In this new mechanism, besides providing the routine bidding price and its generation constraints, the market participants will also provide the relaxation range of its constraints and the compensation price, considering the realistic operation status. The market participants' potential in relaxing their generation constraints is grasped by the incentive mechanism. The fairness and equity of power dispatch is ensured by the widely involvement of market participants. The security and economy of power grid operations is enhanced. We designed a compensation settlement which will improve the rationality of bidding by incentive compatibility principle, and let the market participants who do not relax their constraints pay the constraints relaxation cost. The new mechanism can solve the optimization in a larger feasible region and increase the renewable energy accommodation and finally increase the overall social welfare. The simulation based on the IEEE 30 bus system shows that the new mechanism can encourage market participants to apply their constraint relaxation capability and find a better result in a larger feasible region compared with the traditional mechanism.