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Tou price is based on the price as the guidance, guiding power users according to their own electricity utilization way of flexibility and interest adjustment behavior to realize the purpose of peak peel and improve the load rate. This paper is on the basis of considering the user satisfaction, using plastic load capacity and power generation side coal saving benefit after two measures of implementing peak valley price demand response potential quantitative analysis, and feasibility of implementing peak valley price for a specific region. At last, a big industrial user in a certain area as an example for analysis, the result shows that the implementation of peak valley price can bring potential benefits, and provide a guide that the feasibility of implementing peak valley price in the region.

With the development of electric power system, the people pay more attention to demand-side management. Valid for load classification is an important prerequisite for improving demand side management level. Based on common indicators and load clustering algorithms, new SVC algorithm, cluster validity analysis and similarity measurement of the impact of the judgment are proposed based on load clustering method, and finally the effectiveness of the method is demonstrated by an example.

With the rise of micro-grid, renewable energy such as wind and solar power is introduced to the electric power grid, which has the random and intermittent characteristics, thus having great impact on the safety and stability for the electric power grid. This paper deeply analyzes the situation where multiple micro-grids are connected to power grid and establishes a scheme of joint scheduling model for micro-grids and distribution network, which considers network loss, load fluctuation and operation economy. Then a combined bi-level optimization algorithm is introduced to solve this model. The simulation result shows that reasonable scheduling of micro-grid and distribution network not only can smooth the load curve but also reduce network loss and achieve load shifting result.

High penetration of electric vehicles has brought huge impact on the safe and stable operation of power grid. How to effectively improve the comprehensive utilization rate of electric vehicle charging and discharging has become the most important problem for the grid operation. In this paper, we establish the centralized station model which takes the minimal real power loss as its objective and bring variance optimization function. Using IEEE 30-bus system as simulation system, this paper uses genetic algorithm to find the best solution of the above model. The result shows that reasonable arrangement of charge and discharge plans not only smoothes the load curve, but reduces real power loss.

In the coordination development course between wind power and power grid, because of flexible operation ability, the combined cycle gas turbine (CCGT) can strength the inherent unit commitment performance such as reserve security and ramp limit with the result of improving the power grids wind power absorption capacity. Thus, CCGT included wind power system is one way of sustainable development for civil energy and environment. Because the price of gas is much more expensive than that of coal, taking aspects of economy, technique and environment into account, this paper sets up comprehensive risk evaluation for combined cycle gas turbine involved wind power system, which includes index such as system operation cost, environmental benefit, unit capacity utilization rate, heavy ramping rate lasting time, wind power utilization rate, et al. The exact index calculation method is focused on. The case study shows that the large volume of wind power could spoil the trend of system evaluation index and introducing CCGT could enhance the economy and reliability of power system and thus has superior practical value for grid-source coordination with large volume of wind power injection and refined management of generation schedule.

Firstly, taking into account the load forecasting error and uncertainty of wind power, the coal saving benefit and network loss of the reserve are combined into integrated coal consumption of thermal units. Then, the consistency constraints of reserve capacity are derived. On the basis of the work mentioned above, the optimal reserve distribution model for power system with large scale wind power integration is proposed. This model is used to compare the network loss, integrated coal consumption and the allocation of reserve before and after adding consistency constraints. Finally, simulation results on the IEEE-RTS24 system verify the effectiveness of the algorithm in solving reserve transfer between units, ensuring the fairness of market and providing a reference to dispatchers.

An optimal assignment algorithm of emergency power supply considering V2G is proposed with a necessary concern for its effect on society. Firstly, the comprehensive index weight coefficients are proposed according to the priority. Next, this paper establishes the network minimum total cost objective function based on constraints such as time and capacity limit, using symmetric triangular fuzzy numbers to simulate the uncertainties in emergency logistics on the condition that ensuring the normal work of EV in next day which is used to search for the best logistics path. Finally the optimal algorithm of emergency power supply is developed based on genetic algorithm. The model and algorithm are proved by a numerical example, and the study helps to reduce the investment and operating cost of power system and improve the ability of urban electric network in emergency situation.

Based on the characteristics of current China's electricity power market, it is necessary to develop the self-regulation system for all market participants. This paper sets up index system based comprehensive risk evaluation for self-regulation construction, which covers market infrastructure stability, schedule fairness,trade compliance, electricity bill settlement risk. The evaluation criterion for each indicator is given afterwards. The key self-regulation information and subsequent trade behavior improvement measures can be attained after making the evaluation by calculating each index value, thus conducive to achieving the power market transaction stability and efficiency.

To promote the development of energy-saving dispatch under the pressure of energy saving and environmental protection, this paper proposes an energy-saving dispatch method based on considering demand response, which establishes a bi-level optimization model based on the optimal allocation plan of thermal units and interruptible loads, and solve the problem with improved NSGA-II and sensitivity analysis between unit interrupt capacity and thermal unit output. The case study shows that this model can decrease the pollutants at both generation side and demand side significantly with guaranteeing the economic of power grid operation. The model can also give the dispatch schedule of thermal units and interruptible loads accurately and thus has some use value.

In the emergency management of power system, there are many uncertain factors, such as wind power of the generation side and electric vehicle charging of the demand side. Firstly, the probability statistics model of PEVs charging demands was established, which considered the random factors of the probability distribution of PEVs charging. Then, we used scenarios generation and reduction techniques to predict the output of wind generators. The uncertainty of wind power was described by scenarios set. On this basis, the dispatch model considering PEVs charging and wind power was proposed. Finally, simulation results on the 5-generator system indicated the effectiveness of the proposed method. The synergistic dispatch model considering wind power and PEVs charging can effectively improve the utilization of wind power and the safety and economic benefits of the power system.