Research On Spot Price Based OPF And Optimization Power Purchasing In Power Markets

According to the different degrees of monopolizing, competing, and selecting in such sections as generation, transmission, distribution and supplyment, the power markets fall into the following three operational patterns: single-buyer, wholesale competition, and retail competition. The operational patterns is intimately important the success of electricity market. Because of lacking competition in opening purchasing side, the market efficiency is discounted. Meanwhile, the retail competition mode need stable transmission and distribution system structure, advanced communication network, perfect financial and regulations supports, and widespread reform of metering system, all which can't be accomplished in short term. Aim to regional power market experiment situation of our nation, the reach of paper is under wholesale competition mode.In this paper, the main work as follows:(1) Analysising the trade way and trade tape under the wholesale competition mode, pointing out the long-term power purchase market is necessary, even the day-ahead market and real-time market are exist. Meanwhile, discussing the change of distribution company's function. Distribution company takes part in market competition as an independent economic entity, facing the problem to achieve the maximal profit and keep its superiority in the competition.(2) In order to supply basis for purchase allocation model, a spot price model which based on minimize the active cost of power plant was given in this paper. It considers the infection of electricity price elasticity of demand, the model was calculated by Predictor-Corrector Primal-Dual Interior Point Method. At last, the paper gave IEEE 30 system to check if the model is correct.(3) Through analysis the cost and profit of distribution company, we know that when the supply power price is unchanged, the distribution company need to reduce the power purchase cost to get the maximal profit. In this paper, purchase allocation model is established based on risk theory of portfolio. The allocation problem for power demander purchasing energy in futures contract market, day-ahead market and real-time market are explored in this paper based on particle swarm optimization algorithm. The solution for market allocation and cost shows that this research can provide decision support for power demander to optimize their purchase strategies by their own risk preference.